From 23f78c356fa59f959f82d58418c8822d96bf8084 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Lucas=20K=C3=A4ldstr=C3=B6m?= Date: Wed, 5 Nov 2025 20:57:09 +0200 Subject: [PATCH 1/7] Initial commit of the Conditional Authorization KEP --- .../5681-conditional-authorization/README.md | 844 ++++++++++++++++++ .../5681-conditional-authorization/kep.yaml | 32 + 2 files changed, 876 insertions(+) create mode 100644 keps/sig-auth/5681-conditional-authorization/README.md create mode 100644 keps/sig-auth/5681-conditional-authorization/kep.yaml diff --git a/keps/sig-auth/5681-conditional-authorization/README.md b/keps/sig-auth/5681-conditional-authorization/README.md new file mode 100644 index 00000000000..b0517460c76 --- /dev/null +++ b/keps/sig-auth/5681-conditional-authorization/README.md @@ -0,0 +1,844 @@ +# KEP-5681: Conditional Authorization + +- Author: Lucas Käldström, Upbound +- Contributor: Micah Hausler, AWS + + + + +## **Summary** {#summary} + +This KEP proposes extending Kubernetes authorization to support **conditional authorization**, where authorization decisions can depend on resource data (labels and fields of object), rather than only metadata. This enables more fine-grained access control policies while maintaining backward compatibility with existing RBAC mechanisms. The goal of this proposal is to make authorizers able scope down their policies, and have Kubernetes enforce those scoped-down policies *as if* the authorizer had access to the resource data directly. Examples of policies that bind the authorization decision to the resource data: + +- Allow user Alice to create, update, delete PersistentVolumes, but only whenever spec.storageClassName is ‘dev’ +- Allow a principal to update an object only when a sensitive field is unchanged +- Allow a principal to create objects only with certain names +- Allow a node agent to only access objects referring to them +- Allow a controller to only add/remove its own finalizer +- Deny everyone except admins to use DRA adminAccess + +For context, Kubernetes Authorizers today do not have access to the resource data for good reasons: + +1) Not all requests have resource data attached to it +2) The API server must be sure that the request **can become authorized** according to all data known at the time (even though to reach a final decision, the object must be decoded to check). It would be wasteful, and a DoS vector to use API server CPU and RAM resources to decode a request payload in a request that anyways cannot become authorized. +3) Authorization decisions must be stateless, i.e. the same authorization query must yield the exact same decision whenever the underlying policy store is the same. The authorizer should in other words be a deterministic function `a: Metadata x PolicyStore → Decision`. In other words, the final authorization decision (`Allow,` `Deny,` or `NoOpinion`) *must not* depend on the state of objects in etcd. +4) The request payload might be mutated many times by admission controllers before it reaches the state that can be checked into etcd. In addition, the old object is only available very late in the request handling process, right before an update is actually about to go through in the storage layer (and thus admission is invoked). + +The observant reader might notice that in theory, a user could achieve this desired protection effect by first authoring an “over-granting” RBAC rule, and then “remove” the unwanted permissions through a ValidatingAdmissionPolicy. However, this approach has downsides: + +1. The user needs to understand two different paradigms at once, and coordinate the policies between them. +2. The principal matching predicate needs to be duplicated between RBAC and VAP +3. The policy author needs permission to both author RBAC rules and VAP objects. VAP objects do not have privilege escalation prevention, which means that anyone that can create a VAP can author a static “false” condition for operation=\* and resources=\*, which blocks all writes to the cluster, until an admin removes the offending VAP. Thus should not “create VAP” permissions be handed out to lower-privileged principals, e.g. namespaced administrators, who otherwise legitimately would need to write conditionally authorized policies. +4. Strict ordering of creates and deletes: In order to not at any point leak data, must the VAP deny rule be authored *and successfully activated* before the RBAC allow rules are, and vice versa for deletes. +5. The conditions do not show up in a (Self)SubjectAccessReview, but are only noticed by a user subject to the policy upon performing a request. + +Finally, an authorizer cannot expose a unified interface to the policy author, as the authorizer might not be able to control the admission plugins or cluster setup process otherwise of the cluster it serves authorization decisions to. That means, that without this conditional authorization feature, the authorizer cannot return conditional responses, as it cannot be sure they will be correctly enforced in the API server chain (again, as the enforcement admission controller might or might not exist). + +![][image1] + +To achieve the goal of making an authorizer able to enforce invariants on the resource data as if it had access to it, and critically, expose a unified experience to the policy authors, the process is split in two (for conditional policies only, all existing policies and logic are unchanged): + +1. In the authorization stage, the authorizer **partially evaluates** the conditional policies such that the old and new objects and request options are marked unknown (and thus un-evaluatable). If the policy is satisfied *in every other regard* than as a function on the unknown data, this condition on the unknown data is returned by the authorizer to the API server. +2. If there is a chance of the request becoming authorized, the API server proceeds with the request, and enforces the conditions (as a validating admission step) by either evaluating the conditions in-process (if supported), or by calling the authorizer to evaluate the value of the conditions, now given all possible data. + +Notably, this design achieves its goal of unified authorization expressions across authorization and admission, without the breaking the reasons why authorizers do not have direct access to the request body in the authorization stage: + +1) Conditional Authorization is only supported for certain requests, namely whenever admission is invoked (verbs create, update, patch, delete). +2) Any request that cannot become authorized, regardless of the value of the resource data, is rejected already at the authorization stage, thanks to partial evaluation. +3) The conditions are part of the returned authorization decision, and partial evaluation is a deterministic function, i.e. the same output (which includes the conditions) is guaranteed for the same inputs (metadata and policy store content). +4) The API server enforces the conditions in the validating admission stage, where access to the objects is available with the correct consistency guarantees. + +The abstract Authorizer function definition is augmented from `a: Metadata x PolicyStore → Decision` today to `a: Metadata x PolicyStore → Decision x ConditionSet`. Concretely, the `Decision` enum of the API server gets two new variants: `ConditionalAllow` and `ConditionalDeny`. The `authorizer.Authorizer` Go interface’s function signature naturally cannot be changed due to backwards compatibility requirements, but instead are two dedicated functions used for invoking an authorizer with potentially a conditional response, and returning a conditional response from the authorizer: + +```go +package authorizer + +// Use instead of authorizer.Authorize when the caller wants to use potentially any conditions returned. +func AuthorizeWithConditionalSupport(ctx context.Context, attrs Attributes, authorizer Authorizer) (Decision, string, ConditionsEnforcer, error) + +// A conditional authorizer should return this in its Authorize method, whenever it wants to return a conditional response. +func NewConditionalDecision(ctx context.Context, self ConditionalAuthorizer, conditions *ConditionSet) (Decision, string, error) +``` + +The abstract, deterministic function for an authorizer evaluating its conditions into an unconditional Decision (`Allow,` `Deny,` or `NoOpinion`) is defined as: `e: ConditionSet x Object x Object x Options → Decision`. Note that this function *should not* have access to the policy store; this is by design, as it makes this two-stage mechanism *atomic*, just like it would have been if it could have been evaluated directly. + +A condition set, returned by some authorizer, is a map from an authorizer-scoped identifier to a condition. Formally, a condition is a function `c: Object x Object x Options → Boolean`. A condition has an *effect*, which controls how the condition evaluating to “true” should be treated, e.g. should it lead to an `Allow,` `Deny,` or `NoOpinion` response. A condition also has a type, a simple string declaring in what format the condition is encoded. The condition type can be well-known and transparent (e.g. CEL, OPA, or Cedar formats), or opaque and authorizer-specific. Note: Even though the “full” new and old objects are given as inputs to the condition in this model, the authorizer is free to choose how much of that API surface is exposed to policy authors. Some authorizer might decide to e.g. only expose field-selectable fields in the expression model given to the policy author. + +Conditional authorization is available to both in-tree and webhook authorizers. Conditional authorization is a generalization of the interaction between e.g. the Node authorizer and NodeRestriction admission controller. Even though the default assumption is that the authorizer authoring conditions is also responsible for evaluating them, that tight coupling is not necessary. An in-process, CEL-based ConditionSet evaluator is proposed, which can evaluate ConditionSets where every condition is of CEL type. The vast amount of ValidatingAdmissionPolicy CEL infrastructure can be re-used for this evaluator almost as-is. + +TODO: Picture how it could be, e.g. a\_allatonce : Metadata x Object x Object x Options x PolicyStore → Decision vs how it is: a: Metadata x PolicyStore → Decision x Conditions and r: Conditions x Object x Object x Options → Decision. + +The following picture summarizes how, with this feature, a webhook authorizer can expose a unified policy authoring experience (e.g. through Cedar or CEL) by returning conditions that are propagated with the request chain until admission, in which it can be enforced in-process with the builtin CEL conditions enforcer, if available, or through another webhook (not shown in the picture). + +![][image2] + +Together with the [Authorize with Selectors KEP](https://github.com/kubernetes/enhancements/blob/2871b58880f5629f948b4ef50bffec0d1a677eeb/keps/sig-auth/4601-authorize-with-selectors/README.md), it becomes possible to provide policy authors to write unified policies across both authorization and admission, and **reads and writes**, at least whenever operating on field-selectable fields. A practical example would be “allow user Alice to perform *any verb* on PersistentVolumes, *but only when spec.storageClassName is ‘dev’*” (assuming storageClassName is/would become field-selectable). + +Consider that before this KEP, a user might need to use two or even three different paradigms to protect both data and metadata across reads and writes: + +![][image3] + +But after this KEP, it is possible to use a unified paradigm for all types: + +![][image4] + +For a practical example of what this unified interface can look like, take a look at Lucas' proof of concept at [upbound/kubernetes-cedar-authorizer](https://github.com/upbound/kubernetes-cedar-authorizer), in particular the [getting started guide](https://github.com/upbound/kubernetes-cedar-authorizer/blob/main/docs/GETTING_STARTED.md). If this project proves generally useful, it can be donated to a fitting place in the CNCF ecosystem (e.g. kubernetes-sigs or Cedar, which is now a CNCF Sandbox project). For more detailed information about the project and the philosophy behind it, take a look at [Lucas’ Master’s thesis](https://github.com/luxas/research/blob/main/msc_thesis.pdf) (written at Aalto University). + +### **Initial Design Resources** {#initial-design-resources} + +- SIG Auth meeting June 4, 2025: [meeting notes](https://docs.google.com/document/d/1woLGRoONE3EBVx-wTb4pvp4CI7tmLZ6lS26VTbosLKM/edit?tab=t.0#heading=h.2p3xwolypqkm), [video](https://youtu.be/Clg-rz9qlUA?si=Ay4Dddd-iJRnC89R), [slides](https://speakerdeck.com/luxas/conditional-authorization-for-kubernetes-sig-auth-presentation) +- SIG Auth Deep Dive on Conditional Authorization Sept 4, 2025: [meeting notes](https://docs.google.com/document/d/1woLGRoONE3EBVx-wTb4pvp4CI7tmLZ6lS26VTbosLKM/edit?tab=t.0#heading=h.147ygvibasgh), [video](https://zoom.us/rec/share/24DwlfWfrP7UZEMtkpk1XvpNP_sQuRrE7FQxKoJDRRbJ-vJTBarrEermV2-XSD5p.LSzKv2wS797xMYTs), [slides](https://speakerdeck.com/luxas/conditional-authorization-sig-auth-deep-dive) +- Proof of Concept implementation: [luxas/conditional\_authz\_4](https://github.com/kubernetes/kubernetes/compare/master...luxas:kubernetes:conditional_authz_4?expand=1) branch + +### **Goals** {#goals} + +- Provide a way for an authorizer (and policy author) to only authorize certain write operations, when the payload or stored object satisfies some specific conditions +- Allow users subject to conditional policies discover what conditions they are subject to through (Self)SubjectAccessReview +- Ensure that a request is evaluated against an atomic set of policies in the authorizer, even in presence of cached authorization decisions +- Allow conditions to be expressed in both transparent, analyzable forms (e.g. using languages like Cedar or CEL), or opaque ones (e.g. a UUID reference to some policy within the authorizer that must be satisfied) +- Support expressing both “Allow” and “Deny” effect conditions (even though deny conditions might be implemented at a later stage if needed). +- Provide the foundational framework on top of which we can build an RBAC++ API +- Make it possible to encode the logic of the NodeRestriction admission controller through a condition returned by the Node authorizer +- Enable a path in which the Conditional Impersonation KEP could be implemented by an authorizer returning a set of conditions on what kind of request (action and resource) the impersonating user can impersonate + +### **Non-goals** {#non-goals} + +- Designing or mandating use of a specific policy language as the user experience +- Designing or mandating use of a specific “official” condition syntax +- Expose the conditions to arbitrary admission controllers +- Support conditional authorization for requests other than write and connect verbs. + +### **Requirements** {#requirements} + +- Must preserve order of authorizers; evaluation must not differ from how it has been evaluated using separate authorization and admission phases. +- Works for connectible (CONNECT verb) resources; potentially only when the accessing the connect action through POST (TODO: decide on this) +- It should still be the case that only if the request *can become authorized* (depending only on the objects), the request payload should be decoded. We must not decode the object before this, as that would be a DoS attack vector. +- The combined result of the partial authorization \+ later condition enforcement must be the same as if the request and etcd-stored objects were used in authorization directly in one step +- Keep backwards compatibility within version skew, as always. Also, and in particular, for those vendoring [k8s.io/apiserver](http://k8s.io/apiserver). +- Consider that a patch or update in authorization can turn into a create in admission, patch in authorization can turn into an update in admission, and deletecollection in authorization turns into a delete in admission. + +### **Example Use Cases** {#example-use-cases} + +- Only allow a principal to create CertificateSigningRequests with a given signer +- Only allow a principal to update a resource as long as a sensitive field is not changed +- Only allow a principal to issue a ServiceAccount token with a given audience +- Only allow a controller to use a specific finalizer +- Only allow a node agent to handle resources where .spec.nodeName=\ +- Only allow creating or updating a ResourceClaim when adminAccess=false (generalization of DRA AdminAccess) +- Only allow a principal to create objects with certain names +- Only allow proxying certain URLs in the node proxy (generic solution to [KEP-2862: Fine-grained Kubelet API Authorization](https://github.com/kubernetes/enhancements/blob/master/keps/sig-node/2862-fine-grained-kubelet-authz/README.md)) +- Encode the logic of the NodeRestriction admission controller through a condition returned by the Node authorizer +- Empower out-of-tree authorizers to perform finer-grained policies, e.g. with ABAC and/or label-based controls + +## **Proposal** {#proposal} + +### **Introduction to partial evaluation and why it is useful to solve this problem** {#introduction-to-partial-evaluation-and-why-it-is-useful-to-solve-this-problem} + +Kubernetes authorization today only operates on metadata that can be parsed from the HTTP request URI, headers, or method. There are good reasons for this, but the primary one is to avoid excessive resource usage and thus denial of service attacks. + +If the request payload was given to every authorizer, the bound on how much time is reasonable for an authorizer to make a decision would be much looser, and the API server would decode any request payload from potentially untrusted users, without knowing first if it is possible for this request to even in theory be authorized. + +Thus does it make sense for authorization to be based solely on metadata, from a theoretical standpoint. However, users do not necessarily (want to) understand this distinction between the authorization (metadata) and admission (all available data) phases, especially if the UX of those phases are different. + +Fortunately there is a path towards both protection against untrusted users and a unified, consistent user experience through **partial evaluation**. Partial evaluation is the process of evaluating policy expressions as far as possible with available metadata, and crucially, *pruning* all policies that would resolve to the constant false – no matter what the request payload is. However, if all checks that refer to the metadata fold into true, what is left of the policy expression is either true (unconditional allow) or some condition on the request payload, which during the partial evaluation process is explicitly marked *unknown*. + +**Example 1**: Consider a ValidatingAdmissionPolicy-like CEL environment syntax, and how the following two policies would be partially evaluated for the two example users Alice and Bob: + +- Allow Policy 1: “request.apiGroup \== “” && request.userInfo.username \== ‘Bob’” +- Allow Policy 2: “request.apiGroup \== “” + && request.resource \== “persistentvolumeclaims” + && request.verb \== “create” + && request.userInfo.username \== ‘Alice’ + && object.spec.storageClassName \== “dev”” + +Now, if Alice performs a create PersistentVolumeClaims, what will the policies partially evaluate to, when “object” is kept unknown, but everything else is specified? + +- Allow Policy 1: “true && false” \=\> false +- Allow Policy 2: “true && true && true && true && object.spec.storageClassName \== “dev”” + +In this example, the result of each sub-expression is shown for clarity. Policy 1 clearly evaluates to false, without even knowing the value of “object”. Policy 2 is a *residual expression*, without knowing the object, it is impossible to assign a truth value to it. + +Next, let’s consider what happens if Bob performs create persistentvolumeclaims in the same setting (object is unknown): + +- Allow Policy 1: “true && true” \=\> true +- Allow Policy 2: “true && true && true && false && object.spec.storageClassName \== “dev”” \=\> false + +Now, note that Policy 1 returned an unconditional allow, and that Policy 2 in this context will be false, no matter what the value of the object is. There is no need to evaluate further than the first ANDed false sub-expression in Policy 2, as one can soundly conclude that due to the fourth sub-expression evaluating to false, there is no way the expression could become true later. Also, note that “Allow OR Conditional Allow \=\> Allow”, that is, if both a conditional and unconditional allow exists, the OR result is unconditional allow regardless of what the conditional allow would evaluate to. This positive pruning is also useful. + +Finally, what would happen if Eve tries to create PersistentVolumeClaims: + +- Allow Policy 1: “true && false” \=\> false +- Allow Policy 2: “true && true && true && false && object.spec.storageClassName \== “dev”” \=\> false + +This gives us both properties we want: Eve is denied access immediately in the authorization stage (without ever decoding the body), while it being possible to express a policy that spans both authorization and admission (policy 2). + +Three adjacent systems support partial evaluation: [Cedar](https://github.com/cedar-policy/rfcs/blob/main/text/0095-type-aware-partial-evaluation.md), [CEL](https://pkg.go.dev/github.com/google/cel-go@v0.26.1/cel#Env.PartialVars) and [OPA](https://blog.openpolicyagent.org/partial-evaluation-162750eaf422). + +After partial evaluation has been performed successfully, the only variables left are: + +- request/new object +- stored/old object +- options object +- admission operation (CREATE/UPDATE/DELETE). This cannot in fact be known up front, even if we know the authorization verb, as e.g. the “patch” authorization verb using Server-Side Apply can become a CREATE operation or a normal UPDATE operation. + +For example, if a sub-expression of a policy is initially “object.name \== request.userInfo.username”, then by the end of the partial evaluation process, the known variable “request.userInfo.username” *must* be substituted with its concrete value (say ‘lucas’), which yields the expression “object.name \== ‘lucas’”. In other words, the residual expression should not depend on any variables already known, but instead just substitute known variable values with constants. + +One quite tricky technical detail about partial evaluation is the short-circuiting of e.g. the common “&&” and “||” operators, especially with regards to errors. Clearly, “false && \” can be simplified to “false”. However, “\ && false” can either be “false” or “error”, if evaluating “\” produces an error. Thus is not the && operator commutative. However, the authorizer *should* only return conditions that, depending on the resource data, *could* become true. Returning conditions that are always false is a waste of resources, as the request could get farther into the request chain this way, but later just get denied. In other words, the authorizer should not return a condition of form “\ && false” with Allow effect. As conditions with Deny effect are sensitive to errors, it is, however, reasonable to return “\ && false” with a deny effect, if one wants to make sure that if the error happens, the request fails closed. +--- + +### **Why propagate the conditions with the request?** {#why-propagate-the-conditions-with-the-request?} + +In the summary, it was already concluded that the authorizer needs to be able to depend on the API server to “call the authorizer back” with the resource data, whenever a conditional decision is returned. However, let’s consider two major alternative designs before going deeply into the current design. Instead of the authorizer returning a concrete set of conditions to Kubernetes, one could imagine two other methods, as follows: + +1. The authorizer does not return a Condition Set, but relies on Kubernetes to send an AdmissionReview to the authorizer whenever a conditional decision (just a bit) was made. The authorizer then re-evaluates all policies against the AdmissionReview with complete data. This approach has many drawbacks: + 1. **Two full evaluations needed:** During the authorization phase, the worst-case runtime is O(nk), where n is the number of policies, and k is the maximum policy evaluation time. The admission-time evaluation would also be O(nk) in this case. + 1. With this proposal, only O(k) time would be required in admission, given that the amount of conditions is O(1) for a typical request. + 2. **Non-atomicity**: For a given authorizer, a request should be authorized from exactly one policy store snapshot. If two full re-evaluations were done, the latter (admission-time) policy store semantics would apply, if the policy store changed between the request performed authorization and admission. + 1. With this proposal, the conditions are computed at authorization time by partial evaluation and unmodified enforced at admission, exactly and only the authorization-time policy store semantics apply. + 3. **Tight coupling between conditions authoring and evaluation**: The authorizer would be the only entity which would be able to evaluate the conditional response in the admission stage, which forms a forced tight coupling. Two webhooks per authorizer per request is necessary. + 1. With this proposal, builtin conditions enforcers might evaluate and enforce the conditions in-process, without a need for another webhook in admission. One such builtin enforcer is proposed to be CEL-based. This is faster and more reliable. + 4. **Not observable through (Self)SubjectAccessReview**: As for admission today, a user subject to a policy would not know what policy they are subject to before they execute a request that violates it (hopefully with a nice error message). + 1. With this proposal, a user can see the conditions serialized in the (Self)SubjectAccessReview. Some of the conditions might be opaque (like “policy16”), yes, but at least the user might know where to look next. +2. The authorizer does not return a Condition Set, but instead caches the conditions in a memory. The authorizer relies on Kubernetes to generate a random “request ID”, which is passed to both SubjectAccessReview and AdmissionReview webhooks, so the authorizer can know which conditions to apply to which request. + 1. This approach does not have the “Two full evaluations needed” and “Non-atomicity” problems of the first alternative approach, as only the conditions need to be atomically evaluated against the resource data. However, this approach is subject to the “Tight coupling” and “Not observable through (Self)SubjectAccessReview” problems. In addition, the following problems arise: + 2. **A stateful authorizer is complex and hard to scale:** The authorizer must be way more complex, as it needs to keep a lookup table of request ID to condition set internally. If the authorizer needs to be horizontally scaled, the load balancer in front of the horizontally scaled authorizers would somehow need to know which authorizer replica has what requests’ conditions stored in memory. + 1. With this proposal, the authorizer is allowed to be stateless and thus simpler. Therefore, also the horizontal scaling can be done in a straightforward manner, from this perspective. + 3. **Unclear caching semantics**: The authorizer would need to cache the conditions in memory for at least as long as SubjectAccessReview requests can be cached, for the above atomicity invariant to hold. However, the authorizer does not (generally) know the API server configuration, and thus does not know how long to cache the conditions, or if at all. + +### **Condition and ConditionSet data model** {#condition-and-conditionset-data-model} + +The data model is shown in Go pseudocode. These types and interfaces could be put in [k8s.io/apiserver/pkg/authorization/authorizer](http://k8s.io/apiserver/pkg/authorization/authorizer), or in a sub-package. They are abstract, non-serializable types, which concrete implementations implement or convert to/from. + +```go + +package authorizer + +// ConditionEffect specifies how a condition evaluating to true should be handled. +type ConditionEffect string + +const ( + // If any Deny condition evaluates to true, the ConditionSet +// necessarily evaluates to Deny. No further authorizers +// are consulted. + EffectDeny ConditionEffect = "Deny" + // If a NoOpinion condition evaluates to true, the given +// authorizer’s ConditionSet cannot evaluate to Allow anymore, but +// necessarily Deny or NoOpinion, depending on whether there are any +// true EffectDeny conditions. +// However, later authorizers in the chain can still Allow or Deny. +// It is effectively a softer deny that just overrides the +// authorizer's own allow policies. It can be used if an authorizer +// does not consider itself fully authoritative for a given request. +// TODO: Talk about error handling; what happens if any of these +// conditions fail to evaluate. + EffectNoOpinion ConditionEffect = "NoOpinion" + // If an Allow condition evaluates to true, the ConditionSet evaluates +// to Allow, unless any Deny/NoOpinion condition also evaluates to +// true (in which case the Deny/NoOpinion conditions have precedence). + EffectAllow ConditionEffect = "Allow" +) + +// A condition to be evaluatedN@ +type Condition struct { + // An alphanumeric string, max 255 bytes. + // Uniquely identifies the condition within the scope of the +// authorizer that authored the condition. Acts as a key for a +// slice of conditions, such that it can be used as a map. +// The FailureMode of the ConditionalAuthorizer determines how to + // handle invalid ID values. + // Used for error messages, e.g. +// "condition 'no-pod-exec' denied the request" + ID string + // An opaque string that represents the condition that should be +// evaluated. A condition is evaluated after mutation. +// A pure, deterministic function from ConditionData to a Boolean. +// Might or might not be human-readable (could e.g. be +// base64-encoded), but max 1024 bytes. +// The FailureMode of the ConditionalAuthorizer determines how to + // handle too long Condition values. +Condition string + // How should the condition evaluating to "true" be treated. + // The FailureMode of the ConditionalAuthorizer determines how to + // handle unknown Effect values. + Effect ConditionEffect +// The format/encoding/language of the condition string. +// Any type starting with `k8s.io/` is reserved for Kubernetes +// condition types to be added in the future. +// The built-in CEL condition evaluator will use this domain. +// An authorizer must be able to evaluate any conditions it authors. +// Validated as a label key, i.e. an alphanumeric string with an +// optional prefix domain, in total max 63 bytes. +// The FailureMode of the ConditionalAuthorizer determines how to + // handle invalid Type values. +// TODO: We could consider forcing all conditions in a set to be of +// the same type, to avoid repeating this for every condition. +Type string + +// Optional human-friendly description that can be shown as an error +// message or for debugging. +// TODO: We might want to leave this out, in case it consumes too much +// resources to pass around. +Description string +// TODO: Do we need per-condition failure modes? +} + +// ConditionSet represents a potentially conditional output from one authorizer. +// TODO: Decide on a maximum amount of conditions? +type ConditionSet struct { + // Some authorizers that are later in the chain than an authorizer that returned a conditional response, might return unconditional responses. Capture this in the ConditionSet. +// Mutually exclusive with set + unconditionalDecision *Decision + // Private field so constructor function can validate the conditions before adding them to the set. +set []Condition +} +``` + +### **Conditional Authorizer interfaces and the AuthorizationConditionsEnforcer admission controller** {#conditional-authorizer-interfaces-and-the-authorizationconditionsenforcer-admission-controller} + +After the partial evaluation process, the condition is a function that takes the data available in admission, but not in authorization as input, and returns a boolean. The data structure for the input data is defined as follows: + +```go +package authorizer + +// TODO: This interface might need to change to something more generic, as e.g. constrained impersonation might use other contextual data (or we bake that data into GetObject()) +type ConditionData interface { + // GetOperation is the operation being performed + GetOperation() string + // GetOperationOptions is the options for the operation being performed + GetOperationOptions() runtime.Object + // GetObject is the object from the incoming request prior to default values being applied. + // Only populated for CREATE and UPDATE requests. + GetObject() runtime.Object + // GetOldObject is the existing object. Only populated for UPDATE and DELETE requests. + GetOldObject() runtime.Object +} +``` + +Whenever the ConditionalAuthorization feature gate is enabled in the API server, there is an `AuthorizationConditionsEnforcer` validating admission controller whose job it is to evaluate the conditions, and enforce the decision that the condition set evaluated to. The validating admission controller operates on a fully-mutated request object just like other validating admission controllers, by design. + +The signature for an entity that can evaluate a condition set into a concrete decision (`Allow,` `Deny,` or `NoOpinion`) is as follows: + +```go +package authorizer + +type ConditionSetEvaluator interface { + // EvaluateConditions evaluates a condition set into a concrete decision (Allow, Deny, NoOpinion), + // given full information about the request (ConditionData, which includes e.g. the old and new objects). + EvaluateConditions(ctx context.Context, conditionSet *ConditionSet, data ConditionData) (Decision, string, error) +} +``` + +Each conditional authorizer should be able to evaluate any condition set it returned, and thus is the ConditionalAuthorizer interface defined as follows: + +```go +package authorizer + +type ConditionalAuthorizer interface { + Authorizer + ConditionSetEvaluator + // FailureMode determines how to treat an error from EvaluateConditions + FailureMode() FailureMode +} +``` + +In the latter sections, we will walk through a sketch for how to implement the ConditionalAuthorizer interface for the Node and Webhook authorizers and Constrained Impersonation. + +In addition, to facilitate for loose coupling between the authorizer authoring the conditions, and the evaluation process, is there an interface for builtin condition set evaluators, e.g. for evaluating CEL conditions in-process: + +```go +package authorizer + +type BuiltinConditionSetEvaluator interface { + ConditionSetEvaluator + // SupportedConditionTypes defines the condition types that the builtin evaluator can assign truth values to in-process. + SupportedConditionTypes() sets.Set[ConditionType] +} +``` + +Finally, recall that the output of the entrypoint for calling “authorize with conditions” was defined as follows: + +```go +package authorizer + +// Use instead of authorizer.Authorize when the caller wants to use potentially any conditions returned. +// TODO: If SIG Auth wants, this can also be a pointer to a specific struct implementation, so that not "anyone" can implement the interface, if we want to guard it initially. +func AuthorizeWithConditionalSupport(ctx context.Context, attrs Attributes, authorizer Authorizer) (Decision, string, ConditionsEnforcer, error) +``` + +An Authorizer can only return a conditional response in the following way: + +```go +func (a *FooAuthorizer) Authorize(ctx context.Context, attrs authorizer.Attributes) (authorizer.Decision, string, error) { + // ...authorization logic that leads to a conditional response + conditionSet := authorizer.NewConditionSet(fooCondition, barCondition) + return authorizer.NewConditionalDecision(ctx, a, conditionSet) +} +``` + +Why force use of such a helper function? The reason is, that the `AuthorizeWithConditionalSupport` top-level function injects a ConditionsEnforcer into the context, and then `NewConditionalDecision` registers the given ConditionSet into the ConditionsEnforcer from the context. Users cannot access the enforcer directly, but only through these two helper functions, which helps manage and protect the surface area of this. If an authorizer tries to return a conditional decision to a context that was not initialized through AuthorizeWithConditionalSupport (or if the feature gate is disabled), `NewConditionalDecision` fails closed with NoOpinion instead, which means that new Authorizers are backwards-compatible with old Authorize callers at the code level. + +TODO (luxas): Change this to propose another Authorizer interface instead, with upcasting. + +In any case, the returned ConditionsEnforcer can either be: + +1) evaluated, given complete data, into the same decisions that the authorizer chain would have returned immediately, if the authorizers had access to the complete data up front, or +2) serialized, for the purpose of `(Self)SubjectAccessReview`. Each output ConditionSet represents the conditional or unconditional output of one authorizer in the authorizer chain. + +```go +package authorizer + +// ConditionsEnforcer is the conditional output from a chain of authorizers. +// In order to reach a definite/unconditional decision that determines whether to allow the request to go through or not, ConditionData needs to be provided to it. +type ConditionsEnforcer interface { + // EnforceConditions evaluates the ordered authorization chain against concrete data to reach a final Allow/Deny/NoOpinion decision. + EnforceConditions(ctx context.Context, data ConditionData) (Decision, string, error) + + // OrderedConditionSets walks the authorizer chain until an unconditional authorizer response is got, and outputs all ordered ConditionSets that might/should be satisfied for a user. Used for introspection, e.g. (Self)SubjectAccessReview. + OrderedConditionSets(ctx context.Context) []*ConditionSet + + // WithBuiltinConditionsResolvers allows registering loosely-coupled, generic condition evaluators before enforcement. + WithBuiltinConditionsResolvers(builtinConditionsResolvers ...BuiltinConditionsResolver) ConditionsEnforcer +} +``` + +In pseudo-code, the WithAuthorization HTTP filter functions as follows: + +```go +// Call the Authorizer chain with support for conditional authorization +decision, reason, conditionsEnforcer, err := authorizer.AuthorizeWithConditionalSupport(ctx, attributes, a) + +if decision == authorizer.DecisionConditionalAllow { + // Store the ConditionsEnforcer in the request context, so that the +// AuthorizationConditionsEnforcer admission controller has access to +// the conditions later for enforcement. + ctx = request.WithConditionalAuthorizationContext(ctx, conditionsEnforcer) + req = req.WithContext(ctx) +} + +if decision == authorizer.DecisionAllow || + decision == authorizer.DecisionConditionalAllow { + handler.ServeHTTP(w, req) + return +} +responsewriters.Forbidden(ctx, attributes, w, req, reason, s) +return +``` + +The pseudo-code of the `AuthorizationConditionsEnforcer` admission controller is as follows: + +```go +func (c *ConditionalAuthorizationEnforcer) Handles(operation admission.Operation) bool { + return c.featureEnabled +} + +// ConditionalAuthorizationEnforcer is a Validating Admission Controller +func (c *ConditionalAuthorizationEnforcer) Validate(ctx context.Context, a admission.Attributes, o admission.ObjectInterfaces) error { + // Acquire + enforcer, ok := request.ConditionalAuthorizationContextFrom(ctx) + if !ok { + return nil // Unconstrained request, allow to go throughi + } + + // Build the conditions data from the admission attributes + conditionsData := conditionsDataFrom(a) + + // Use the returned enforcer to evaluate the authorization chain + // with all available data. Use the builtin CEL evaluator if possible. + decision, reason, err := enforcer. WithBuiltinConditionsResolvers(c.builtinConditionsResolvers...). + EnforceConditions(ctx, conditionsData) + + // Conditions evaluated to Allow, let the request proceed +if decision == authorizer.DecisionAllow { + return nil + } + // Return 403 if conditional authorization chain came to a negative conclusion + return apierrors.NewForbidden(groupResource, name, responsewriters.ForbiddenStatusError(attrs, reason)) +``` + +In a later section, a concrete visualization of the request flow is shown. + +### **Computing a concrete decision from a ConditionSet** {#computing-a-concrete-decision-from-a-conditionset} + +How should a ConditionsEvaluator evaluate the conditions in the given set? The process is two-fold: + +1. Evaluate each condition function to a boolean value, or error +2. Compute the individual truth values of the conditions, along with their desired effect into an aggregate, unconditional decision (Allow/Deny/NoOpinion) at the authorizer level, according to the following logic: + +If there is at least one condition with `effect=Deny` that evaluates to true, return `Deny`. + +If there is at least one condition with `effect=Deny` that evaluates to an error, return an error. The FailureMode of the ConditionalAuthorizer controls whether to treat the error as decision `Deny` or `NoOpinion`. + +Otherwise, it is known that any `effect=Deny` condition evaluates to false. Then, if there is at least one condition with `effect=NoOpinion` that evaluates to true, return `NoOpinion`. + +If there is at least one condition with `effect=NoOpinion` that evaluates to an error, return `NoOpinion` to fail closed (as if the condition evaluated to true) along with the error for logging/diagnostics. + +Otherwise, it is known that any `effect=NoOpinion` condition evaluates to false. Then, if there is at least one condition with `effect=Allow` that evaluates to true, return `Allow`. + +Any `effect=Allow` condition that evaluates to an error is ignored. If no `effect=Allow` condition evaluates to true, return `NoOpinion`. + +### **Computing a concrete decision from a conditional authorization chain** {#computing-a-concrete-decision-from-a-conditional-authorization-chain} + +It is now known how to evaluate a single ConditionSet together with the ConditionsData into a single, aggregate Allow/Deny/NoOpinion decision, the same decision that the authorizer would have immediately returned, if it had direct access to the ConditionsData. Next, we discuss the semantics of multiple authorizers chained after each other (i.e. the [union](https://pkg.go.dev/k8s.io/apiserver/pkg/authorization/union) authorizer), in the light of conditional authorization. + +To begin with, it is good to state that the semantics of the existing modes Allow, Deny and NoOpinion do not change. Whenever a NoOpinion is returned by an authorizer, it is ignored by the union authorizer, just like it had not been in the chain in the first place. Notably, both before and after this proposal, an authorizer returning NoOpinion is ignored even though it returns an error. Thus must any safety-critical errors be turned into Deny decisions if failing closed is needed. + +Likewise, a chain with the prefix “NoOpinion, …, NoOpinion, Allow” still short-circuits and returns an unconditional Allow, without any conditional authorization. Vice versa for a chain with the prefix “NoOpinion, …, NoOpinion, Deny” \=\> Deny. + +Now, in the introduction it was mentioned that with this proposal, two new [authorizer.Decision](https://pkg.go.dev/k8s.io/apiserver/pkg/authorization/authorizer#Decision) types are added, namely `ConditionalAllow` or `ConditionalDeny`. + +A ConditionSet with at least one Allow effect condition induces the decision `ConditionalAllow`, no matter how many other Deny or NoOpinion effect conditions there are in the same set. `ConditionalAllow` thus means “a ConditionSet with a possibility to evaluate to Allow, given the missing data”. This matters, as it was concluded in the beginning that the API server should only spend resources decoding the request body etc. on requests that have a *chance of becoming authorized*. It is worth pointing out that a ConditionalAllow ConditionSet can end up evaluating to any of the Allow/Deny/NoOpinion decisions, as per the logic in the previous section. + +In contrast, `ConditionalDeny` is returned for all other ConditionSets, namely those where there are no conditions with the Allow effect, only conditions with effect NoOpinion or Deny. A ConditionalDeny ConditionSet can end up evaluating to either Deny or NoOpinion, as per the logic in the previous section. + +Such an authorizer might be useful in the very beginning of the chain, to make sure e.g. that “it is never possible for non-admins to enable DRA adminAccess in request payloads”. This KEP is thus a generalization of the DRA AdminAccess KEP, through authorization, which might or might not be user-editable (in contrast to ValidatingAdmissionPolicies which can be dynamically removed by users). + +However, what happens to the union authorizer semantics when and after a `ConditionalAllow` or `ConditionalDeny` response is seen? + +There are two main options: + +1. **Lazy Evaluation**: When seeing a `ConditionalAllow`\-equivalent response, short circuit the union authorization process BUT add any authorizers later in the chain to the ConditionsEnforcer for later consideration, if this first `ConditionalAllow` ended up producing a `NoOpinion` response when evaluated. The whole chain is thus eventually considered if (and only if) needed. This mode is shown in the picture below. +2. **Eager Evaluation**: The authorization chain is walked until some unconditional decision is reached, or the end of the chain is reached. All ordered ConditionSets are passed with the request and evaluated in order by the admission controller. If some of the earliest ConditionSets in the chain end up being `Allow` or `Deny`, later authorizers’ ConditionSets are ignored and thus computed in vain. + +**![][image5]** +A high-level picture of the request flow with conditional authorization. The chain of authorizer decisions can be lazily evaluated, such that the third authorizer in the picture is not evaluated directly in the authorization stage, as already the second one might yield an Allow. However, in admission, if the second authorizer ends up evaluating to NoOpinion, the third authorizer is evaluated (and in this example evaluates first ConditionalAllow, then Allow). + +Initially, before the SIG Auth Deep Dive (Sept 4, 2025\) on this topic, the idea was to go with option 2, eager evaluation. However, in the meeting, it seemed like the consensus was that there is concern about the eager method being too inefficient. Therefore, the current proposal is to utilize option 1, lazy evaluation, as shown in the picture. This has been implemented in the [proof of concept](https://github.com/kubernetes/kubernetes/compare/master...luxas:kubernetes:conditional_authz_4?expand=1). + +The following diagram shows the various outcomes of when ConditionSet evaluation is performed in a chain (regardless of which of the two options above are chosen). In this picture, NoOpinion results are mostly omitted to yield a clearer picture. The key takeaways are: + +1. If there is not at least one Concrete or Conditional Allow in the chain, the request cannot become allowed, and is thus rejected early (in the WithAuthorization filter) +2. Whenever a ConditionalAllow is encountered, that ConditionSet will be evaluated in the admission controller, and only if that ConditionSet’s decision ends up being NoOpinion, later authorizers are consulted (which can yield any response) +3. A ConditionalDeny before a Concrete Allow yields a Conditional Allow: the request is only allowed if the ConditionalDeny ConditionSet ends up *not* denying the request with higher priority than the later Concrete Allow authorizer. + +Note: As we fold ConditionalDeny \+ Deny into Deny directly, the audit log just tells that one of the authorizers (in this case, the latter) denied it, not necessarily the first one. + +![][image6] + +### **Changes to (Self)SubjectAccessReview** {#changes-to-(self)subjectaccessreview} + +One of the core goals of this KEP is to make it easier also for users subject to authorization policies that span authorization and admission understand what policies they are subject to. This in practice means that the conditions should be shown in (Self)SubjectAccessReview (SAR) responses, as is logical when the authorizer response area grows. However, there are some details to pay attention to: + +- The same request might be subject to multiple conditional authorizers in the authorizer chain. Consider a chain of two authorizers both returning ConditionalAllow. The first authorizer’s returned ConditionSet will have precedence over the second, and thus cannot be merged into one. Instead, the SubjectAccessReview response must retain the ordering of the two ConditionSets, so the user can reason about them. +- Consider a two-authorizer chain, where the first returns ConditionalDeny, and the second (unconditional/concrete) Allow (or Deny) for that matter. Thus, SAR structure should expose whether a later authorizer indeed produced a concrete response. + +The SubjectAccessReviewStatus API is thus augmented with the following field and types: + +```go +type SubjectAccessReviewStatus struct { + // ... Allowed, Denied, Reason and EvaluationError here as normal + + // ConditionsChain is an ordered list of condition sets, where every item of the list represents one authorizer's ConditionSet response. + // When evaluating the conditions, the first condition set must be evaluated as a whole first, and only if that condition set + // evaluates to NoOpinion, can the subsequent condition sets be evaluated. + // + // When ConditionsChain is non-null, Allowed and Denied must be false. + // + // +optional + // +listType=atomic + ConditionsChain []SubjectAccessReviewConditionSet `json:"conditionsChain,omitempty" protobuf:"bytes,5,rep,name=conditionsChain"` +} + +type SubjectAccessReviewConditionSet struct { + // Allowed specifies whether this condition set is unconditionally allowed. + // Mutually exclusive with Denied and Conditions. + Allowed bool `json:"allowed,omitempty" protobuf:"varint,1,opt,name=allowed"` + // Denied specifies whether this condition set is unconditionally denied. + // Mutually exclusive with Allowed and Conditions. + Denied bool `json:"denied,omitempty" protobuf:"varint,2,opt,name=denied"` + + // FailureMode specifies the failure mode for this condition set. + // Only relevant if the conditions are non-null. + FailureMode string `json:"failureMode,omitempty" protobuf:"bytes,3,opt,name=failureMode"` + + // Conditions is an unordered set of conditions that should be evaluated against admission attributes, to determine + // whether this authorizer allows the request. + // + // +listType=map + // +listMapKey=id + // +optional + Conditions []SubjectAccessReviewCondition `json:"conditions,omitempty" protobuf:"bytes,4,rep,name=conditions"` +} + +type SubjectAccessReviewCondition struct { + ID string `json:"id" protobuf:"bytes,1,opt,name=id"` + Effect SubjectAccessReviewConditionEffect `json:"effect" protobuf:"bytes,2,opt,name=effect"` + Type string `json:"type" protobuf:"bytes,3,opt,name=type"` + Condition string `json:"condition" protobuf:"bytes,4,opt,name=condition"` + Description string `json:"description,omitempty" protobuf:"bytes,5,opt,name=description"` +} + +type SubjectAccessReviewConditionEffect string + +const ( + SubjectAccessReviewConditionEffectAllow SubjectAccessReviewConditionEffect = "Allow" + SubjectAccessReviewConditionEffectDeny SubjectAccessReviewConditionEffect = "Deny" + SubjectAccessReviewConditionEffectNoOpinion SubjectAccessReviewConditionEffect = "NoOpinion" +) +``` + +`Status.ConditionsChain` is mutually exclusive with `Status.Allowed` and `Status.Denied`. A conditional response is characterized by `Status.ConditionsChain` \!= null. Old implementers that do not recognize `Status.ConditionsChain` will just safely assume it was a `NoOpinion`. + +### **Changes to the Webhook Authorizer** {#changes-to-the-webhook-authorizer} + +Thanks to the `SubjectAccessReviewStatus` API change, the webhook authorizer supports conditional responses in a straightforward manner. The webhook checks if the feature is enabled, `Status.ConditionsChain` is set, there is only one ConditionSet returned (there is a 1:1 mapping between an authorizer and a ConditionSet), that conditional authorization is configured (as below), as per the following code snippet: + +```go +gotConditionalResponse := len(r.Status.ConditionsChain) != 0 && utilfeature.DefaultFeatureGate.Enabled(genericfeatures.ConditionalAuthorization) + +switch { +case r.Status.Denied && r.Status.Allowed: + return authorizer.DecisionDeny, r.Status.Reason, fmt.Errorf("webhook subject access review returned both allow and deny response") +case r.Status.Denied && gotConditionalResponse: + return authorizer.DecisionDeny, r.Status.Reason, fmt.Errorf("webhook subject access review returned both deny and conditional response") +case r.Status.Allowed && gotConditionalResponse: + return w.decisionOnError, r.Status.Reason, fmt.Errorf("webhook subject access review returned both allow and conditional response") +case r.Status.Denied: + return authorizer.DecisionDeny, r.Status.Reason, nil +case r.Status.Allowed: + return authorizer.DecisionAllow, r.Status.Reason, nil +case gotConditionalResponse: + if !w.supportsConditionalResponse { +return w.decisionOnError, "", fmt.Errorf("webhook authorizer does not support conditional responses") +} + + if len(r.Status.ConditionsChain) > 1 { + return authorizer.DecisionNoOpinion, "", fmt.Errorf("webhook authorizer does not support multiple conditions chains") + } + conditionSet, err := toAuthorizerConditions(r.Status.ConditionsChain[0]) + if err != nil { + return authorizer.DecisionNoOpinion, "", err + } + return authorizer.NewConditionalDecision(ctx, w, conditionSet) +default: + return authorizer.DecisionNoOpinion, r.Status.Reason, nil +} +``` + +The more interesting aspect is, how should the webhook authorizer evaluate the conditions? In order to do this, two changes are proposed. We propose a new `AuthorizationConditionsReview` API, slightly similar to `AdmissionReview`, but for this use-case as the interface between the conditional authorizer and Kubernetes: + +```go +// AuthorizationConditionsReview describes a request to evaluate authorization conditions. +type AuthorizationConditionsReview struct { + metav1.TypeMeta `json:",inline"` + // Request describes the attributes for the authorization conditions request. + // +optional + Request *AuthorizationConditionsRequest `json:"request,omitempty" protobuf:"bytes,1,opt,name=request"` + // Response describes the attributes for the authorization conditions response. + // +optional + Response *AuthorizationConditionsResponse `json:"response,omitempty" protobuf:"bytes,2,opt,name=response"` +} + +// AuthorizationConditionsRequest describes the authorization conditions request. +type AuthorizationConditionsRequest struct { + // Operation is the operation being performed. This may be different than the operation + // requested. e.g. a patch can result in either a CREATE or UPDATE Operation. + Operation admissionv1.Operation `json:"operation" protobuf:"bytes,7,opt,name=operation"` + // Object is the object from the incoming request. + // +optional + Object runtime.RawExtension `json:"object,omitempty" protobuf:"bytes,10,opt,name=object"` + // OldObject is the existing object. Only populated for DELETE and UPDATE requests. + // +optional + OldObject runtime.RawExtension `json:"oldObject,omitempty" protobuf:"bytes,11,opt,name=oldObject"` + // Options is the operation option structure of the operation being performed. + // e.g. `meta.k8s.io/v1.DeleteOptions` or `meta.k8s.io/v1.CreateOptions`. This may be + // different than the options the caller provided. e.g. for a patch request the performed + // Operation might be a CREATE, in which case the Options will a + // `meta.k8s.io/v1.CreateOptions` even though the caller provided `meta.k8s.io/v1.PatchOptions`. + // +optional + Options runtime.RawExtension `json:"options,omitempty" protobuf:"bytes,13,opt,name=options"` + + // ConditionSet is the condition set that the authorizer returned for +// the request in the authorization phase. + ConditionSet authorizationv1.SubjectAccessReviewConditionSet `json:"conditionSet,omitempty" protobuf:"bytes,17,opt,name=conditionSet"` +} + +// AuthorizationConditionsResponse describes an authorization conditions response. +type AuthorizationConditionsResponse struct { + // Allowed indicates whether or not the request is authorized according to the authorization conditions. + // Mutually exclusive with Denied. + // Allowed=false and Denied=false means that the authorizer has no NoOpinion on the request. + Allowed bool `json:"allowed" protobuf:"varint,2,opt,name=allowed"` + + // Denied indicates whether or not the request is denied according to the authorization conditions. + // Mutually exclusive with Allowed. + // Allowed=false and Denied=false means that the authorizer has no NoOpinion on the request. + Denied bool `json:"denied,omitempty" protobuf:"varint,3,opt,name=denied"` + + // Result contains extra details into why an authorization conditions request was denied. + // This field IS NOT consulted in any way if "Allowed" is "true". + // TODO: Might want to use the more authorizer-native Reason and EvaluationError fields + // +optional + Result *metav1.Status `json:"status,omitempty" protobuf:"bytes,4,opt,name=status"` + + // TODO: Add AuditAnnotations and Warnings as in AdmissionReview? +} +``` + +This means that the authorizer can implement an endpoint which resolves its (potentially opaque to Kubernetes) conditions the way it wants. Where the `AuthorizationConditionsReview` is, is defined in a new field on `AuthorizationConfiguration`: + +``` +apiVersion: apiserver.config.k8s.io/v1 +kind: AuthorizationConfiguration +authorizers: + - type: Webhook + name: webhook + webhook: + # New: Encode the endpoint for resolving the conditions as a KubeConfig + # context. If unset, conditional authorization is not supported. + # The authentication info and service hostname can be the same, but most + # likely the HTTP endpoint of the authorizer service is different. + # The authorizer MUST support evaluating any condition type it returns + # in the SubjectAccessReview. + conditionsEndpointKubeConfigContext: authorization-conditions + # Existing struct, pointer to KubeConfig file where the context exists + connectionInfo: + type: KubeConfigFile + kubeConfigFile: /kube-system-authz-webhook.yaml +``` + +Finally, recall that the webhook authorizer by default caches requests. If any authorizer utilizes caching, the conditions must be cached as well, such that there is no difference between cached and uncached authorization responses. Also, recall that if Kubernetes supports evaluating the conditions in-process with a builtin ConditionsEvaluator, e.g. the CEL one, a `AuthorizationConditionsReview` webhook is not needed, as per the following table: + +| Webhooks during phase: | Authorization response not cached | Authorization response cached | +| :---- | :---- | :---- | +| Condition Type Not Supported by Builtin Condition Evaluators | Authorize() \+ EvaluateConditions() | EvaluateConditions() | +| Condition Type Supported | Authorize() | Neither | + +### **Node authorizer** {#node-authorizer} + +The Node authorizer was the first conditional authorizer in that it had both an authorization and admission part that always were designed and evolved in tandem. This proposal generalizes this; now the Node authorizer could return conditional responses with type e.g. `k8s.io/node-authorizer` and either transparent conditions written in CEL, if possible, or opaque ones, e.g. `condition: ‘{“condition”: “require-pod-node-name”, “nodeName”: “foo”}’`. In the opaque condition case, the Node authorizer will get a callback on its then-added `EvaluateConditions()` function to, even in native code, enforce e.g. a Pod’s spec.nodeName actually matches what it should be. If this were the case, all logic is centralized in the authorizer, instead of being split between two components, and SubjectAccessReview shows what policies apply. + +### **Feature availability and version skew** {#feature-availability-and-version-skew} + +Conditional authorization is available when all of the following criteria are met: + +- The authorizer implementation supports conditions, which can be done in two ways: + - In-tree authorizer: through implementing the `authorizer.ConditionsEvaluator` interface, and + - Webhook authorizer: when needed, responds with a non-null `.status.conditionsChain` array, along with `.status.allowed=false` and `.status.denied=false`. +- The `ConditionalAuthorization` feature gate is enabled AND the `AuthorizationConditionsEnforcer` admission plugin is enabled + - The `AuthorizationConditionsEnforcer` plugin could be enabled by default, as it returns Handles=false for every request, if the feature gate is not also enabled. + - However, to avoid the problematic configuration of a server being set up with the feature gate enabled, but not the admission plugin, the proposal is that AdmissionOptions.Validate will error, such that the API server can never start up in such a misconfigured state. +- The SubjectAccessReview's `apiGroup`, `resource` and `apiVersion` selects exactly one GVR, which is served by the current API server, and the verb is one of `create`, `update`, `patch`, `delete`. + +| Version skew matrix | Old API server | New API server | +| :---- | :---- | :---- | +| Old webhook | Never conditions | Conditions never returned from webhook, ok. | +| New webhook | Conditions might be returned, but API server ignores them \=\> NoOpinion | Conditions respected | + +### **Compound Authorization for Connectible Resources** {#compound-authorization-for-connectible-resources} + +After the move to WebSockets ([KEP 4006](https://github.com/kubernetes/enhancements/tree/master/keps/sig-api-machinery/4006-transition-spdy-to-websockets#proposal-synthetic-rbac-create-authorization-check)), connect requests are initially authorized as e.g. “get pods/exec”, which can lead someone thinking that giving “get \*” gives only read-only access, and not also write access. To mitigate this privilege-escalation vector, when the `AuthorizePodWebsocketUpgradeCreatePermission` feature gate is enabled (beta and on by default in 1.35), currently `pods/attach`, `pods/exec` and `pods/portforward` are subject to compound authorization, where effectively it is made sure that the requestor also is authorized to “create” the corresponding connectible resource. However, this check is not added (yet at least) for `pods/proxy`, `services/proxy` and `nodes/proxy`. + +In relation to these two workstreams, it is proposed that we uniformly and generally require the requestor to have the create verb using compound authorization in the `ConnectResource` handler, whenever the feature gate (or a new one) is enabled. This compound check would support conditional authorization as well, with operation \= CONNECT, object \= null, oldobject \= null but options \!= null. Such a check thus becomes a generalization of [KEP-2862: Fine-grained Kubelet API Authorization](https://github.com/kubernetes/enhancements/blob/master/keps/sig-node/2862-fine-grained-kubelet-authz/README.md), as now an authorizer can say “allow lucas to create nodes/proxy, but only when the options.path \== ‘/configz’”, or any other such policy that the administrator might fancy. + +### **Compound Authorization for update/patch → create** {#compound-authorization-for-update/patch-→-create} + +If an update or patch turns into a create, the API server performs compound authorization to make sure the requestor also has the privilege to create the resource. This KEP also applies conditional authorization support for this compound authorization check, for consistency. + +### **Constrained Impersonation through Conditional Authorization** {#constrained-impersonation-through-conditional-authorization} + +[KEP-5284: Constrained Impersonation](https://github.com/kubernetes/enhancements/tree/master/keps/sig-auth/5284-constrained-impersonation) proposes a way to restrict impersonation such that the requestor both needs the permission to impersonate the specified user, but the permission to impersonate certain types of requests, e.g. “lucas can only impersonate node foo, but only to get pods”. This is a perfect example of where conditional authorization shines; the request that is being performed is the initially-unknown data that an authorizer might want to specify conditions on. + +Consider the example of “lucas can only impersonate node foo, but only to get pods”. The authorizer policy (in pseudo-code) is of form: + +“request.userInfo.username \== ‘lucas’ && + request.verb \== ‘impersonate’ && + request.resource \== ‘nodes’ && + request.apiGroup \== ‘authentication.k8s.io’ && + request.name \== ‘foo’ && + impersonatedRequest.apiGroup \== ‘’ && + impersonatedRequest.resource \== ‘pods’ && + impersonatedRequest.verb \== ‘get’” + +The first five ANDed expressions can be evaluated to true directly, just based on the data that is available in the normal impersonation SubjectAccessReview. However, impersonatedRequest is unknown, and thus does the residual expression yield conditions in the SubjectAccessReview response, e.g. as follows: + +``` +apiVersion: authorization.k8s.io/v1 +kind: SubjectAccessReview +status: + allowed: false + conditionsChain: + - conditionsSet: + - type: k8s.io/authorization-cel + id: “lucas-only-impersonate-node-get-pods” + condition: “impersonatedRequest.apiGroup == ‘’ && impersonatedRequest.resource == ‘pods’ && impersonatedRequest.verb == ‘get’” + effect: Allow +``` + +Now, the impersonation filter can evaluate the condition, either through the builtin CEL evaluator (if applicable), or by calling the Authorizer’s EvaluateConditions endpoint with the missing data (the information about the impersonated request). + +This approach avoids adding synthetic verbs like `impersonate-on:user-info:list` to Kubernetes authorization, just for some specific, hard-coded expressions. + +## **Built-in CEL conditions evaluator** {#built-in-cel-conditions-evaluator} + +The most logical alternative for Kubernetes to provide as a builtin primitive is a CEL conditions evaluator. Such a conditions evaluator could re-use most of the CEL infrastructure that Kubernetes already has, and provide a unified model for those that already are familiar with ValidatingAdmissionPolicies. This means that a wide variety of authorizers could author CEL-typed conditions, and let the API server evaluate them without a need for a second webhook. RBAC++ could use this as well. + +However, this evaluator could evolve with distinct maturity guarantees than the core conditional authorization feature. + +## **Open Questions** {#open-questions} + +- What are quantitative performance requirements for this feature? + - Faster than a second webhook? On par with builtin, prebuilt VAP policies? +- How expressive do we let the CEL environment be? Should it e.g. include namespaceObject? +- Do we need to configure conversion of native objects into some specifically-requested version like VAP, or do we just use the raw object in the admission controller? +- What are the most important metrics that should be added? +- Are there specific GVRs we don't want to let be conditionally authorized? +- If there is increasing communication between k8s and e.g. webhook authorizers, would it be more performant to keep a bidirectional gRPC open at all times, and use that for comms, similar to ServiceAccount issuing and KMS implementations? + +## **Alternatives Considered / Detailed Decision Log** {#alternatives-considered-/-detailed-decision-log} + +### **Let the API server indicate that it supports conditional authorization** {#let-the-api-server-indicate-that-it-supports-conditional-authorization} + +In order for the API server to indicate to a webhook authorizer that it supports conditional authorization, the API server would add the `kubernetes.io/ConditionalAuthorizationFeature=true` annotation. + +However, this is not needed with the current setup; if an old apiserver receives conditions from a new authorizer, it will just ignore the conditions and treat the SAR as a NoOpinion, as it should. + +### **Resolve the conditions until a concrete response in the union authorizer** {#resolve-the-conditions-until-a-concrete-response-in-the-union-authorizer} + +In the beginning of writing this proposal, we were thinking that the union authorizer would keep resolving conditions until an unconditional response is found. However, we later opted for the lazy approach, due to performance concerns with the former approach. + +### **Expose all conditions in AdmissionReview, and have admission plugins “acknowledge” the conditions** {#expose-all-conditions-in-admissionreview,-and-have-admission-plugins-“acknowledge”-the-conditions} + +The SIG Auth meeting of September 4, 2025 concluded that this feature should support also condition types that are not built into Kubernetes. Thus does there need to be some way to evaluate the not-natively-supported conditions in the admission phase. The most logical way, would be to add some fields to AdmissionReview, and thus let admission webhooks let the API server know (*besides* the AdmissionReview’s primary response.allowed field) what the conditions evaluated to. + +However, this turned out to be unnecessarily complicated in practice, when taking the idea further. Should all conditions from potentially every authorizer in the chain be sent to every admission webhook? Probably not. + +Can an admission webhook choose to evaluate individual conditions of some specific authorizer, or does the admission webhook need to evaluate all conditions produced by a certain authorizer at once, returning the result of the whole condition set according to the defined semantics? The latter solution is much simpler for both users and implementers to understand, so probably the latter. + +However, then, how can one know that a certain admission webhook has the right to acknowledge a certain authorizer’s conditions? What if the conditional authorizer is controlled by the cloud provider or infrastructure team, but a (malicious) user dynamically registers its own admission webhook that wants to acknowledge the conditions from the cloud provider’s authorizer? What happens if there are multiple (dynamically registered) admission webhooks that evaluated the same input data (conditions+request body) to two different outputs? + +These questions led us to realize that the safest initial plan is to require a 1:1 mapping between the authorizer (registered through AuthorizationConfiguration) and the authorizer’s condition enforcer. As normal users anyways cannot dynamically register authorizers, there is no need to dynamically register authorizer condition enforcers either for normal users. Thus is the most logical place to register the authorizer’s condition enforcer, in the same place the authorizer is defined in AuthorizationConfiguration. + +In other words, only the authorizer itself can evaluate its own conditions in the admission phase, and all at once only (as a set), not partially. + +### **Propagate an API server-generated request UID to both authorization and admission** {#propagate-an-api-server-generated-request-uid-to-both-authorization-and-admission} + +This would have helped solve the atomicity concern, but it is not a full long-term solution, as it still relies on people setting up webhooks. + +### **Only one ConditionSet exposed as part of SubjectAccessReview status** {#only-one-conditionset-exposed-as-part-of-subjectaccessreview-status} + +However, if only one condition set is exposed, it might be impossible for a user to understand what conditions it is subject to for a given request through a (Self/Local/Standard) SubjectAccessReview, as the first conditional response might be just a “deny dangerous operations”-type of conditional response. + +The user should thus see all conditional allows and denies until there is an unconditional response. + +### **Require the client to annotate its write request with field or label selectors** {#require-the-client-to-annotate-its-write-request-with-field-or-label-selectors} + +This would be a breaking change for clients, as whenever conditional authorizers would hit production usage, every client would need to annotate its every request with all selectors “just in case” some authorizer would make use of it, to higher the chances of getting authorized. This could duplicate a fair amount of the request data. + +The other problem is updates: would the selector apply only to the request object, only to the stored one, or both at once. + +### **Extract label and field selectors from the request and current object in etcd, and supply that to the authorization process** {#extract-label-and-field-selectors-from-the-request-and-current-object-in-etcd,-and-supply-that-to-the-authorization-process} + +If the client was not required to send all this data, but the API server would decode the object to extract “just” label and field selectors, the DoS vector occurs, where a malicious party could send huge requests with bogus data, that the API server would decode before authorization takes place. In addition, would this make the authorization process state-dependent (if the selector would need to apply to both the request and stored object), something which is considered an explicit anti-pattern. + + +[image1]: + +[image2]: + +[image3]: + +[image4]: + +[image5]: + +[image6]: \ No newline at end of file diff --git a/keps/sig-auth/5681-conditional-authorization/kep.yaml b/keps/sig-auth/5681-conditional-authorization/kep.yaml new file mode 100644 index 00000000000..4d5eb67e477 --- /dev/null +++ b/keps/sig-auth/5681-conditional-authorization/kep.yaml @@ -0,0 +1,32 @@ +title: Conditional Authorization +kep-number: 5681 +authors: + - "@luxas" + - "@micahhausler" +owning-sig: sig-auth +status: provisional +creation-date: 2025-11-05 +reviewers: + - "@deads2k" + - "@enj" + - "@liggitt" +approvers: + - "@deads2k" + - "@enj" + - "@liggitt" + +stage: alpha + +latest-milestone: "v1.36" + +milestone: + alpha: "v1.36" + +feature-gates: + - name: ConditionalAuthorization + components: + - kube-apiserver +disable-supported: true + +# The following PRR answers are required at beta release +metrics: {} From 22e7fd6bb32898d69753cd6b5cfcf4c71a732e1f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Lucas=20K=C3=A4ldstr=C3=B6m?= Date: Thu, 6 Nov 2025 10:05:08 +0200 Subject: [PATCH 2/7] Add TOC, check in images separately. --- .../5681-conditional-authorization/README.md | 125 ++++++++++-------- .../images/authorize-with-selectors-after.png | Bin 0 -> 195134 bytes .../authorize-with-selectors-before.png | Bin 0 -> 216596 bytes .../images/authorizer-chain-computation.png | Bin 0 -> 33833 bytes .../images/over-grant-rbac-deny-vap.png | Bin 0 -> 681019 bytes .../images/request-conditions-flow.png | Bin 0 -> 281826 bytes .../images/webhook-architecture.png | Bin 0 -> 290316 bytes 7 files changed, 71 insertions(+), 54 deletions(-) create mode 100644 keps/sig-auth/5681-conditional-authorization/images/authorize-with-selectors-after.png create mode 100644 keps/sig-auth/5681-conditional-authorization/images/authorize-with-selectors-before.png create mode 100644 keps/sig-auth/5681-conditional-authorization/images/authorizer-chain-computation.png create mode 100644 keps/sig-auth/5681-conditional-authorization/images/over-grant-rbac-deny-vap.png create mode 100644 keps/sig-auth/5681-conditional-authorization/images/request-conditions-flow.png create mode 100644 keps/sig-auth/5681-conditional-authorization/images/webhook-architecture.png diff --git a/keps/sig-auth/5681-conditional-authorization/README.md b/keps/sig-auth/5681-conditional-authorization/README.md index b0517460c76..68760cd082b 100644 --- a/keps/sig-auth/5681-conditional-authorization/README.md +++ b/keps/sig-auth/5681-conditional-authorization/README.md @@ -4,9 +4,39 @@ - Contributor: Micah Hausler, AWS +- [Summary](#summary) + - [Initial Design Resources](#initial-design-resources) + - [Goals](#goals) + - [Non-goals](#non-goals) + - [Requirements](#requirements) + - [Example Use Cases](#example-use-cases) +- [Proposal](#proposal) + - [Introduction to partial evaluation and why it is useful to solve this problem](#introduction-to-partial-evaluation-and-why-it-is-useful-to-solve-this-problem) + - [Why propagate the conditions with the request?](#why-propagate-the-conditions-with-the-request) + - [Condition and ConditionSet data model](#condition-and-conditionset-data-model) + - [Conditional Authorizer interfaces and the AuthorizationConditionsEnforcer admission controller](#conditional-authorizer-interfaces-and-the-authorizationconditionsenforcer-admission-controller) + - [Computing a concrete decision from a ConditionSet](#computing-a-concrete-decision-from-a-conditionset) + - [Computing a concrete decision from a conditional authorization chain](#computing-a-concrete-decision-from-a-conditional-authorization-chain) + - [Changes to (Self)SubjectAccessReview](#changes-to-selfsubjectaccessreview) + - [Changes to the Webhook Authorizer](#changes-to-the-webhook-authorizer) + - [Node authorizer](#node-authorizer) + - [Feature availability and version skew](#feature-availability-and-version-skew) + - [Compound Authorization for Connectible Resources](#compound-authorization-for-connectible-resources) + - [Compound Authorization for update/patch → create](#compound-authorization-for-updatepatch--create) + - [Constrained Impersonation through Conditional Authorization](#constrained-impersonation-through-conditional-authorization) +- [Built-in CEL conditions evaluator](#built-in-cel-conditions-evaluator) +- [Open Questions](#open-questions) +- [Alternatives Considered, Detailed Decision Log](#alternatives-considered-detailed-decision-log) + - [Let the API server indicate that it supports conditional authorization](#let-the-api-server-indicate-that-it-supports-conditional-authorization) + - [Resolve the conditions until a concrete response in the union authorizer](#resolve-the-conditions-until-a-concrete-response-in-the-union-authorizer) + - [Expose all conditions in AdmissionReview, and have admission plugins “acknowledge” the conditions](#expose-all-conditions-in-admissionreview-and-have-admission-plugins-acknowledge-the-conditions) + - [Propagate an API server-generated request UID to both authorization and admission](#propagate-an-api-server-generated-request-uid-to-both-authorization-and-admission) + - [Only one ConditionSet exposed as part of SubjectAccessReview status](#only-one-conditionset-exposed-as-part-of-subjectaccessreview-status) + - [Require the client to annotate its write request with field or label selectors](#require-the-client-to-annotate-its-write-request-with-field-or-label-selectors) + - [Extract label and field selectors from the request and current object in etcd, and supply that to the authorization process](#extract-label-and-field-selectors-from-the-request-and-current-object-in-etcd-and-supply-that-to-the-authorization-process) -## **Summary** {#summary} +## Summary This KEP proposes extending Kubernetes authorization to support **conditional authorization**, where authorization decisions can depend on resource data (labels and fields of object), rather than only metadata. This enables more fine-grained access control policies while maintaining backward compatibility with existing RBAC mechanisms. The goal of this proposal is to make authorizers able scope down their policies, and have Kubernetes enforce those scoped-down policies *as if* the authorizer had access to the resource data directly. Examples of policies that bind the authorization decision to the resource data: @@ -34,7 +64,7 @@ The observant reader might notice that in theory, a user could achieve this desi Finally, an authorizer cannot expose a unified interface to the policy author, as the authorizer might not be able to control the admission plugins or cluster setup process otherwise of the cluster it serves authorization decisions to. That means, that without this conditional authorization feature, the authorizer cannot return conditional responses, as it cannot be sure they will be correctly enforced in the API server chain (again, as the enforcement admission controller might or might not exist). -![][image1] +![Over-grant in RBAC, deny in VAP](images/over-grant-rbac-deny-vap.png) To achieve the goal of making an authorizer able to enforce invariants on the resource data as if it had access to it, and critically, expose a unified experience to the policy authors, the process is split in two (for conditional policies only, all existing policies and logic are unchanged): @@ -68,29 +98,29 @@ Conditional authorization is available to both in-tree and webhook authorizers. TODO: Picture how it could be, e.g. a\_allatonce : Metadata x Object x Object x Options x PolicyStore → Decision vs how it is: a: Metadata x PolicyStore → Decision x Conditions and r: Conditions x Object x Object x Options → Decision. -The following picture summarizes how, with this feature, a webhook authorizer can expose a unified policy authoring experience (e.g. through Cedar or CEL) by returning conditions that are propagated with the request chain until admission, in which it can be enforced in-process with the builtin CEL conditions enforcer, if available, or through another webhook (not shown in the picture). +The following picture summarizes how, with this feature, a webhook authorizer can expose a unified policy authoring experience (e.g. through Cedar or CEL) by returning conditions that are propagated with the request chain until admission, in which it can be enforced in-process with the builtin CEL conditions enforcer, if available, or through another admission-time webhook (not shown in the picture). -![][image2] +![Webhook Architecture](images/webhook-architecture.png) Together with the [Authorize with Selectors KEP](https://github.com/kubernetes/enhancements/blob/2871b58880f5629f948b4ef50bffec0d1a677eeb/keps/sig-auth/4601-authorize-with-selectors/README.md), it becomes possible to provide policy authors to write unified policies across both authorization and admission, and **reads and writes**, at least whenever operating on field-selectable fields. A practical example would be “allow user Alice to perform *any verb* on PersistentVolumes, *but only when spec.storageClassName is ‘dev’*” (assuming storageClassName is/would become field-selectable). Consider that before this KEP, a user might need to use two or even three different paradigms to protect both data and metadata across reads and writes: -![][image3] +![Read/write and data/metadata consistency before this KEP](images/authorize-with-selectors-before.png) But after this KEP, it is possible to use a unified paradigm for all types: -![][image4] +![Read/write and data/metadata consistency after this KEP](images/authorize-with-selectors-after.png) For a practical example of what this unified interface can look like, take a look at Lucas' proof of concept at [upbound/kubernetes-cedar-authorizer](https://github.com/upbound/kubernetes-cedar-authorizer), in particular the [getting started guide](https://github.com/upbound/kubernetes-cedar-authorizer/blob/main/docs/GETTING_STARTED.md). If this project proves generally useful, it can be donated to a fitting place in the CNCF ecosystem (e.g. kubernetes-sigs or Cedar, which is now a CNCF Sandbox project). For more detailed information about the project and the philosophy behind it, take a look at [Lucas’ Master’s thesis](https://github.com/luxas/research/blob/main/msc_thesis.pdf) (written at Aalto University). -### **Initial Design Resources** {#initial-design-resources} +### Initial Design Resources - SIG Auth meeting June 4, 2025: [meeting notes](https://docs.google.com/document/d/1woLGRoONE3EBVx-wTb4pvp4CI7tmLZ6lS26VTbosLKM/edit?tab=t.0#heading=h.2p3xwolypqkm), [video](https://youtu.be/Clg-rz9qlUA?si=Ay4Dddd-iJRnC89R), [slides](https://speakerdeck.com/luxas/conditional-authorization-for-kubernetes-sig-auth-presentation) - SIG Auth Deep Dive on Conditional Authorization Sept 4, 2025: [meeting notes](https://docs.google.com/document/d/1woLGRoONE3EBVx-wTb4pvp4CI7tmLZ6lS26VTbosLKM/edit?tab=t.0#heading=h.147ygvibasgh), [video](https://zoom.us/rec/share/24DwlfWfrP7UZEMtkpk1XvpNP_sQuRrE7FQxKoJDRRbJ-vJTBarrEermV2-XSD5p.LSzKv2wS797xMYTs), [slides](https://speakerdeck.com/luxas/conditional-authorization-sig-auth-deep-dive) - Proof of Concept implementation: [luxas/conditional\_authz\_4](https://github.com/kubernetes/kubernetes/compare/master...luxas:kubernetes:conditional_authz_4?expand=1) branch -### **Goals** {#goals} +### Goals - Provide a way for an authorizer (and policy author) to only authorize certain write operations, when the payload or stored object satisfies some specific conditions - Allow users subject to conditional policies discover what conditions they are subject to through (Self)SubjectAccessReview @@ -101,14 +131,14 @@ For a practical example of what this unified interface can look like, take a loo - Make it possible to encode the logic of the NodeRestriction admission controller through a condition returned by the Node authorizer - Enable a path in which the Conditional Impersonation KEP could be implemented by an authorizer returning a set of conditions on what kind of request (action and resource) the impersonating user can impersonate -### **Non-goals** {#non-goals} +### Non-goals - Designing or mandating use of a specific policy language as the user experience - Designing or mandating use of a specific “official” condition syntax - Expose the conditions to arbitrary admission controllers - Support conditional authorization for requests other than write and connect verbs. -### **Requirements** {#requirements} +### Requirements - Must preserve order of authorizers; evaluation must not differ from how it has been evaluated using separate authorization and admission phases. - Works for connectible (CONNECT verb) resources; potentially only when the accessing the connect action through POST (TODO: decide on this) @@ -117,7 +147,7 @@ For a practical example of what this unified interface can look like, take a loo - Keep backwards compatibility within version skew, as always. Also, and in particular, for those vendoring [k8s.io/apiserver](http://k8s.io/apiserver). - Consider that a patch or update in authorization can turn into a create in admission, patch in authorization can turn into an update in admission, and deletecollection in authorization turns into a delete in admission. -### **Example Use Cases** {#example-use-cases} +### Example Use Cases - Only allow a principal to create CertificateSigningRequests with a given signer - Only allow a principal to update a resource as long as a sensitive field is not changed @@ -130,9 +160,9 @@ For a practical example of what this unified interface can look like, take a loo - Encode the logic of the NodeRestriction admission controller through a condition returned by the Node authorizer - Empower out-of-tree authorizers to perform finer-grained policies, e.g. with ABAC and/or label-based controls -## **Proposal** {#proposal} +## Proposal -### **Introduction to partial evaluation and why it is useful to solve this problem** {#introduction-to-partial-evaluation-and-why-it-is-useful-to-solve-this-problem} +### Introduction to partial evaluation and why it is useful to solve this problem Kubernetes authorization today only operates on metadata that can be parsed from the HTTP request URI, headers, or method. There are good reasons for this, but the primary one is to avoid excessive resource usage and thus denial of service attacks. @@ -184,9 +214,8 @@ After partial evaluation has been performed successfully, the only variables lef For example, if a sub-expression of a policy is initially “object.name \== request.userInfo.username”, then by the end of the partial evaluation process, the known variable “request.userInfo.username” *must* be substituted with its concrete value (say ‘lucas’), which yields the expression “object.name \== ‘lucas’”. In other words, the residual expression should not depend on any variables already known, but instead just substitute known variable values with constants. One quite tricky technical detail about partial evaluation is the short-circuiting of e.g. the common “&&” and “||” operators, especially with regards to errors. Clearly, “false && \” can be simplified to “false”. However, “\ && false” can either be “false” or “error”, if evaluating “\” produces an error. Thus is not the && operator commutative. However, the authorizer *should* only return conditions that, depending on the resource data, *could* become true. Returning conditions that are always false is a waste of resources, as the request could get farther into the request chain this way, but later just get denied. In other words, the authorizer should not return a condition of form “\ && false” with Allow effect. As conditions with Deny effect are sensitive to errors, it is, however, reasonable to return “\ && false” with a deny effect, if one wants to make sure that if the error happens, the request fails closed. ---- -### **Why propagate the conditions with the request?** {#why-propagate-the-conditions-with-the-request?} +### Why propagate the conditions with the request? In the summary, it was already concluded that the authorizer needs to be able to depend on the API server to “call the authorizer back” with the resource data, whenever a conditional decision is returned. However, let’s consider two major alternative designs before going deeply into the current design. Instead of the authorizer returning a concrete set of conditions to Kubernetes, one could imagine two other methods, as follows: @@ -205,7 +234,7 @@ In the summary, it was already concluded that the authorizer needs to be able to 1. With this proposal, the authorizer is allowed to be stateless and thus simpler. Therefore, also the horizontal scaling can be done in a straightforward manner, from this perspective. 3. **Unclear caching semantics**: The authorizer would need to cache the conditions in memory for at least as long as SubjectAccessReview requests can be cached, for the above atomicity invariant to hold. However, the authorizer does not (generally) know the API server configuration, and thus does not know how long to cache the conditions, or if at all. -### **Condition and ConditionSet data model** {#condition-and-conditionset-data-model} +### Condition and ConditionSet data model The data model is shown in Go pseudocode. These types and interfaces could be put in [k8s.io/apiserver/pkg/authorization/authorizer](http://k8s.io/apiserver/pkg/authorization/authorizer), or in a sub-package. They are abstract, non-serializable types, which concrete implementations implement or convert to/from. @@ -293,7 +322,7 @@ set []Condition } ``` -### **Conditional Authorizer interfaces and the AuthorizationConditionsEnforcer admission controller** {#conditional-authorizer-interfaces-and-the-authorizationconditionsenforcer-admission-controller} +### Conditional Authorizer interfaces and the AuthorizationConditionsEnforcer admission controller After the partial evaluation process, the condition is a function that takes the data available in admission, but not in authorization as input, and returns a boolean. The data structure for the input data is defined as follows: @@ -457,7 +486,7 @@ if decision == authorizer.DecisionAllow { In a later section, a concrete visualization of the request flow is shown. -### **Computing a concrete decision from a ConditionSet** {#computing-a-concrete-decision-from-a-conditionset} +### Computing a concrete decision from a ConditionSet How should a ConditionsEvaluator evaluate the conditions in the given set? The process is two-fold: @@ -476,7 +505,7 @@ Otherwise, it is known that any `effect=NoOpinion` condition evaluates to false. Any `effect=Allow` condition that evaluates to an error is ignored. If no `effect=Allow` condition evaluates to true, return `NoOpinion`. -### **Computing a concrete decision from a conditional authorization chain** {#computing-a-concrete-decision-from-a-conditional-authorization-chain} +### Computing a concrete decision from a conditional authorization chain It is now known how to evaluate a single ConditionSet together with the ConditionsData into a single, aggregate Allow/Deny/NoOpinion decision, the same decision that the authorizer would have immediately returned, if it had direct access to the ConditionsData. Next, we discuss the semantics of multiple authorizers chained after each other (i.e. the [union](https://pkg.go.dev/k8s.io/apiserver/pkg/authorization/union) authorizer), in the light of conditional authorization. @@ -499,7 +528,8 @@ There are two main options: 1. **Lazy Evaluation**: When seeing a `ConditionalAllow`\-equivalent response, short circuit the union authorization process BUT add any authorizers later in the chain to the ConditionsEnforcer for later consideration, if this first `ConditionalAllow` ended up producing a `NoOpinion` response when evaluated. The whole chain is thus eventually considered if (and only if) needed. This mode is shown in the picture below. 2. **Eager Evaluation**: The authorization chain is walked until some unconditional decision is reached, or the end of the chain is reached. All ordered ConditionSets are passed with the request and evaluated in order by the admission controller. If some of the earliest ConditionSets in the chain end up being `Allow` or `Deny`, later authorizers’ ConditionSets are ignored and thus computed in vain. -**![][image5]** +![How conditions are propagated in the API server request chain](images/request-conditions-flow.png) + A high-level picture of the request flow with conditional authorization. The chain of authorizer decisions can be lazily evaluated, such that the third authorizer in the picture is not evaluated directly in the authorization stage, as already the second one might yield an Allow. However, in admission, if the second authorizer ends up evaluating to NoOpinion, the third authorizer is evaluated (and in this example evaluates first ConditionalAllow, then Allow). Initially, before the SIG Auth Deep Dive (Sept 4, 2025\) on this topic, the idea was to go with option 2, eager evaluation. However, in the meeting, it seemed like the consensus was that there is concern about the eager method being too inefficient. Therefore, the current proposal is to utilize option 1, lazy evaluation, as shown in the picture. This has been implemented in the [proof of concept](https://github.com/kubernetes/kubernetes/compare/master...luxas:kubernetes:conditional_authz_4?expand=1). @@ -512,9 +542,9 @@ The following diagram shows the various outcomes of when ConditionSet evaluation Note: As we fold ConditionalDeny \+ Deny into Deny directly, the audit log just tells that one of the authorizers (in this case, the latter) denied it, not necessarily the first one. -![][image6] +![How various authorizer chain decisions are computed into one](images/authorizer-chain-computation.png) -### **Changes to (Self)SubjectAccessReview** {#changes-to-(self)subjectaccessreview} +### Changes to (Self)SubjectAccessReview One of the core goals of this KEP is to make it easier also for users subject to authorization policies that span authorization and admission understand what policies they are subject to. This in practice means that the conditions should be shown in (Self)SubjectAccessReview (SAR) responses, as is logical when the authorizer response area grows. However, there are some details to pay attention to: @@ -578,7 +608,7 @@ const ( `Status.ConditionsChain` is mutually exclusive with `Status.Allowed` and `Status.Denied`. A conditional response is characterized by `Status.ConditionsChain` \!= null. Old implementers that do not recognize `Status.ConditionsChain` will just safely assume it was a `NoOpinion`. -### **Changes to the Webhook Authorizer** {#changes-to-the-webhook-authorizer} +### Changes to the Webhook Authorizer Thanks to the `SubjectAccessReviewStatus` API change, the webhook authorizer supports conditional responses in a straightforward manner. The webhook checks if the feature is enabled, `Status.ConditionsChain` is set, there is only one ConditionSet returned (there is a 1:1 mapping between an authorizer and a ConditionSet), that conditional authorization is configured (as below), as per the following code snippet: @@ -676,7 +706,7 @@ type AuthorizationConditionsResponse struct { This means that the authorizer can implement an endpoint which resolves its (potentially opaque to Kubernetes) conditions the way it wants. Where the `AuthorizationConditionsReview` is, is defined in a new field on `AuthorizationConfiguration`: -``` +```yaml apiVersion: apiserver.config.k8s.io/v1 kind: AuthorizationConfiguration authorizers: @@ -691,7 +721,7 @@ authorizers: # in the SubjectAccessReview. conditionsEndpointKubeConfigContext: authorization-conditions # Existing struct, pointer to KubeConfig file where the context exists - connectionInfo: + connectionInfo: type: KubeConfigFile kubeConfigFile: /kube-system-authz-webhook.yaml ``` @@ -703,11 +733,11 @@ Finally, recall that the webhook authorizer by default caches requests. If any a | Condition Type Not Supported by Builtin Condition Evaluators | Authorize() \+ EvaluateConditions() | EvaluateConditions() | | Condition Type Supported | Authorize() | Neither | -### **Node authorizer** {#node-authorizer} +### Node authorizer The Node authorizer was the first conditional authorizer in that it had both an authorization and admission part that always were designed and evolved in tandem. This proposal generalizes this; now the Node authorizer could return conditional responses with type e.g. `k8s.io/node-authorizer` and either transparent conditions written in CEL, if possible, or opaque ones, e.g. `condition: ‘{“condition”: “require-pod-node-name”, “nodeName”: “foo”}’`. In the opaque condition case, the Node authorizer will get a callback on its then-added `EvaluateConditions()` function to, even in native code, enforce e.g. a Pod’s spec.nodeName actually matches what it should be. If this were the case, all logic is centralized in the authorizer, instead of being split between two components, and SubjectAccessReview shows what policies apply. -### **Feature availability and version skew** {#feature-availability-and-version-skew} +### Feature availability and version skew Conditional authorization is available when all of the following criteria are met: @@ -724,17 +754,17 @@ Conditional authorization is available when all of the following criteria are me | Old webhook | Never conditions | Conditions never returned from webhook, ok. | | New webhook | Conditions might be returned, but API server ignores them \=\> NoOpinion | Conditions respected | -### **Compound Authorization for Connectible Resources** {#compound-authorization-for-connectible-resources} +### Compound Authorization for Connectible Resources After the move to WebSockets ([KEP 4006](https://github.com/kubernetes/enhancements/tree/master/keps/sig-api-machinery/4006-transition-spdy-to-websockets#proposal-synthetic-rbac-create-authorization-check)), connect requests are initially authorized as e.g. “get pods/exec”, which can lead someone thinking that giving “get \*” gives only read-only access, and not also write access. To mitigate this privilege-escalation vector, when the `AuthorizePodWebsocketUpgradeCreatePermission` feature gate is enabled (beta and on by default in 1.35), currently `pods/attach`, `pods/exec` and `pods/portforward` are subject to compound authorization, where effectively it is made sure that the requestor also is authorized to “create” the corresponding connectible resource. However, this check is not added (yet at least) for `pods/proxy`, `services/proxy` and `nodes/proxy`. In relation to these two workstreams, it is proposed that we uniformly and generally require the requestor to have the create verb using compound authorization in the `ConnectResource` handler, whenever the feature gate (or a new one) is enabled. This compound check would support conditional authorization as well, with operation \= CONNECT, object \= null, oldobject \= null but options \!= null. Such a check thus becomes a generalization of [KEP-2862: Fine-grained Kubelet API Authorization](https://github.com/kubernetes/enhancements/blob/master/keps/sig-node/2862-fine-grained-kubelet-authz/README.md), as now an authorizer can say “allow lucas to create nodes/proxy, but only when the options.path \== ‘/configz’”, or any other such policy that the administrator might fancy. -### **Compound Authorization for update/patch → create** {#compound-authorization-for-update/patch-→-create} +### Compound Authorization for update/patch → create If an update or patch turns into a create, the API server performs compound authorization to make sure the requestor also has the privilege to create the resource. This KEP also applies conditional authorization support for this compound authorization check, for consistency. -### **Constrained Impersonation through Conditional Authorization** {#constrained-impersonation-through-conditional-authorization} +### Constrained Impersonation through Conditional Authorization [KEP-5284: Constrained Impersonation](https://github.com/kubernetes/enhancements/tree/master/keps/sig-auth/5284-constrained-impersonation) proposes a way to restrict impersonation such that the requestor both needs the permission to impersonate the specified user, but the permission to impersonate certain types of requests, e.g. “lucas can only impersonate node foo, but only to get pods”. This is a perfect example of where conditional authorization shines; the request that is being performed is the initially-unknown data that an authorizer might want to specify conditions on. @@ -751,7 +781,7 @@ Consider the example of “lucas can only impersonate node foo, but only to get The first five ANDed expressions can be evaluated to true directly, just based on the data that is available in the normal impersonation SubjectAccessReview. However, impersonatedRequest is unknown, and thus does the residual expression yield conditions in the SubjectAccessReview response, e.g. as follows: -``` +```yaml apiVersion: authorization.k8s.io/v1 kind: SubjectAccessReview status: @@ -768,13 +798,13 @@ Now, the impersonation filter can evaluate the condition, either through the bui This approach avoids adding synthetic verbs like `impersonate-on:user-info:list` to Kubernetes authorization, just for some specific, hard-coded expressions. -## **Built-in CEL conditions evaluator** {#built-in-cel-conditions-evaluator} +## Built-in CEL conditions evaluator The most logical alternative for Kubernetes to provide as a builtin primitive is a CEL conditions evaluator. Such a conditions evaluator could re-use most of the CEL infrastructure that Kubernetes already has, and provide a unified model for those that already are familiar with ValidatingAdmissionPolicies. This means that a wide variety of authorizers could author CEL-typed conditions, and let the API server evaluate them without a need for a second webhook. RBAC++ could use this as well. However, this evaluator could evolve with distinct maturity guarantees than the core conditional authorization feature. -## **Open Questions** {#open-questions} +## Open Questions - What are quantitative performance requirements for this feature? - Faster than a second webhook? On par with builtin, prebuilt VAP policies? @@ -784,19 +814,19 @@ However, this evaluator could evolve with distinct maturity guarantees than the - Are there specific GVRs we don't want to let be conditionally authorized? - If there is increasing communication between k8s and e.g. webhook authorizers, would it be more performant to keep a bidirectional gRPC open at all times, and use that for comms, similar to ServiceAccount issuing and KMS implementations? -## **Alternatives Considered / Detailed Decision Log** {#alternatives-considered-/-detailed-decision-log} +## Alternatives Considered, Detailed Decision Log -### **Let the API server indicate that it supports conditional authorization** {#let-the-api-server-indicate-that-it-supports-conditional-authorization} +### Let the API server indicate that it supports conditional authorization In order for the API server to indicate to a webhook authorizer that it supports conditional authorization, the API server would add the `kubernetes.io/ConditionalAuthorizationFeature=true` annotation. However, this is not needed with the current setup; if an old apiserver receives conditions from a new authorizer, it will just ignore the conditions and treat the SAR as a NoOpinion, as it should. -### **Resolve the conditions until a concrete response in the union authorizer** {#resolve-the-conditions-until-a-concrete-response-in-the-union-authorizer} +### Resolve the conditions until a concrete response in the union authorizer In the beginning of writing this proposal, we were thinking that the union authorizer would keep resolving conditions until an unconditional response is found. However, we later opted for the lazy approach, due to performance concerns with the former approach. -### **Expose all conditions in AdmissionReview, and have admission plugins “acknowledge” the conditions** {#expose-all-conditions-in-admissionreview,-and-have-admission-plugins-“acknowledge”-the-conditions} +### Expose all conditions in AdmissionReview, and have admission plugins “acknowledge” the conditions The SIG Auth meeting of September 4, 2025 concluded that this feature should support also condition types that are not built into Kubernetes. Thus does there need to be some way to evaluate the not-natively-supported conditions in the admission phase. The most logical way, would be to add some fields to AdmissionReview, and thus let admission webhooks let the API server know (*besides* the AdmissionReview’s primary response.allowed field) what the conditions evaluated to. @@ -810,35 +840,22 @@ These questions led us to realize that the safest initial plan is to require a 1 In other words, only the authorizer itself can evaluate its own conditions in the admission phase, and all at once only (as a set), not partially. -### **Propagate an API server-generated request UID to both authorization and admission** {#propagate-an-api-server-generated-request-uid-to-both-authorization-and-admission} +### Propagate an API server-generated request UID to both authorization and admission This would have helped solve the atomicity concern, but it is not a full long-term solution, as it still relies on people setting up webhooks. -### **Only one ConditionSet exposed as part of SubjectAccessReview status** {#only-one-conditionset-exposed-as-part-of-subjectaccessreview-status} +### Only one ConditionSet exposed as part of SubjectAccessReview status However, if only one condition set is exposed, it might be impossible for a user to understand what conditions it is subject to for a given request through a (Self/Local/Standard) SubjectAccessReview, as the first conditional response might be just a “deny dangerous operations”-type of conditional response. The user should thus see all conditional allows and denies until there is an unconditional response. -### **Require the client to annotate its write request with field or label selectors** {#require-the-client-to-annotate-its-write-request-with-field-or-label-selectors} +### Require the client to annotate its write request with field or label selectors This would be a breaking change for clients, as whenever conditional authorizers would hit production usage, every client would need to annotate its every request with all selectors “just in case” some authorizer would make use of it, to higher the chances of getting authorized. This could duplicate a fair amount of the request data. The other problem is updates: would the selector apply only to the request object, only to the stored one, or both at once. -### **Extract label and field selectors from the request and current object in etcd, and supply that to the authorization process** {#extract-label-and-field-selectors-from-the-request-and-current-object-in-etcd,-and-supply-that-to-the-authorization-process} +### Extract label and field selectors from the request and current object in etcd, and supply that to the authorization process If the client was not required to send all this data, but the API server would decode the object to extract “just” label and field selectors, the DoS vector occurs, where a malicious party could send huge requests with bogus data, that the API server would decode before authorization takes place. 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Subject: [PATCH 3/7] Fix spacing and most linebreaks --- .../5681-conditional-authorization/README.md | 1470 ++++++++++++----- 1 file changed, 1017 insertions(+), 453 deletions(-) diff --git a/keps/sig-auth/5681-conditional-authorization/README.md b/keps/sig-auth/5681-conditional-authorization/README.md index 68760cd082b..ad8f1cbd9be 100644 --- a/keps/sig-auth/5681-conditional-authorization/README.md +++ b/keps/sig-auth/5681-conditional-authorization/README.md @@ -38,47 +38,119 @@ ## Summary -This KEP proposes extending Kubernetes authorization to support **conditional authorization**, where authorization decisions can depend on resource data (labels and fields of object), rather than only metadata. This enables more fine-grained access control policies while maintaining backward compatibility with existing RBAC mechanisms. The goal of this proposal is to make authorizers able scope down their policies, and have Kubernetes enforce those scoped-down policies *as if* the authorizer had access to the resource data directly. Examples of policies that bind the authorization decision to the resource data: - -- Allow user Alice to create, update, delete PersistentVolumes, but only whenever spec.storageClassName is ‘dev’ -- Allow a principal to update an object only when a sensitive field is unchanged +This KEP proposes extending Kubernetes authorization to support **conditional +authorization**, where authorization decisions can depend on resource data +(labels and fields of object), rather than only metadata. This enables more +fine-grained access control policies while maintaining backward compatibility +with existing RBAC mechanisms. The goal of this proposal is to make authorizers +able scope down their policies, and have Kubernetes enforce those scoped-down +policies *as if* the authorizer had access to the resource data directly. +Examples of policies that bind the authorization decision to the resource data: + +- Allow user Alice to create, update, delete PersistentVolumes, but only + whenever spec.storageClassName is ‘dev’ +- Allow a principal to update an object only when a sensitive field is unchanged - Allow a principal to create objects only with certain names - Allow a node agent to only access objects referring to them - Allow a controller to only add/remove its own finalizer - Deny everyone except admins to use DRA adminAccess -For context, Kubernetes Authorizers today do not have access to the resource data for good reasons: +For context, Kubernetes Authorizers today do not have access to the resource +data for good reasons: 1) Not all requests have resource data attached to it -2) The API server must be sure that the request **can become authorized** according to all data known at the time (even though to reach a final decision, the object must be decoded to check). It would be wasteful, and a DoS vector to use API server CPU and RAM resources to decode a request payload in a request that anyways cannot become authorized. -3) Authorization decisions must be stateless, i.e. the same authorization query must yield the exact same decision whenever the underlying policy store is the same. The authorizer should in other words be a deterministic function `a: Metadata x PolicyStore → Decision`. In other words, the final authorization decision (`Allow,` `Deny,` or `NoOpinion`) *must not* depend on the state of objects in etcd. -4) The request payload might be mutated many times by admission controllers before it reaches the state that can be checked into etcd. In addition, the old object is only available very late in the request handling process, right before an update is actually about to go through in the storage layer (and thus admission is invoked). - -The observant reader might notice that in theory, a user could achieve this desired protection effect by first authoring an “over-granting” RBAC rule, and then “remove” the unwanted permissions through a ValidatingAdmissionPolicy. However, this approach has downsides: - -1. The user needs to understand two different paradigms at once, and coordinate the policies between them. -2. The principal matching predicate needs to be duplicated between RBAC and VAP -3. The policy author needs permission to both author RBAC rules and VAP objects. VAP objects do not have privilege escalation prevention, which means that anyone that can create a VAP can author a static “false” condition for operation=\* and resources=\*, which blocks all writes to the cluster, until an admin removes the offending VAP. Thus should not “create VAP” permissions be handed out to lower-privileged principals, e.g. namespaced administrators, who otherwise legitimately would need to write conditionally authorized policies. -4. Strict ordering of creates and deletes: In order to not at any point leak data, must the VAP deny rule be authored *and successfully activated* before the RBAC allow rules are, and vice versa for deletes. -5. The conditions do not show up in a (Self)SubjectAccessReview, but are only noticed by a user subject to the policy upon performing a request. - -Finally, an authorizer cannot expose a unified interface to the policy author, as the authorizer might not be able to control the admission plugins or cluster setup process otherwise of the cluster it serves authorization decisions to. That means, that without this conditional authorization feature, the authorizer cannot return conditional responses, as it cannot be sure they will be correctly enforced in the API server chain (again, as the enforcement admission controller might or might not exist). +2) The API server must be sure that the request **can become authorized** +according to all data known at the time (even though to reach a final decision, +the object must be decoded to check). It would be wasteful, and a DoS vector to +use API server CPU and RAM resources to decode a request payload in a request +that anyways cannot become authorized. +3) Authorization decisions must be stateless, i.e. the same authorization query +must yield the exact same decision whenever the underlying policy store is the +same. The authorizer should in other words be a deterministic function +`a: Metadata x PolicyStore → Decision`. In other words, the final authorization +decision (`Allow,` `Deny,` or `NoOpinion`) *must not* depend on the state of +objects in etcd. +4) The request payload might be mutated many times by admission controllers +before it reaches the state that can be checked into etcd. In addition, the old +object is only available very late in the request handling process, right before +an update is actually about to go through in the storage layer (and thus +admission is invoked). + +The observant reader might notice that in theory, a user could achieve this +desired protection effect by first authoring an “over-granting” RBAC rule, and +then “remove” the unwanted permissions through a ValidatingAdmissionPolicy. +However, this approach has downsides: + +1. The user needs to understand two different paradigms at once, and coordinate + the policies between them. +2. The principal matching predicate needs to be duplicated between RBAC and VAP +3. The policy author needs permission to both author RBAC rules and VAP objects. + VAP objects do not have privilege escalation prevention, which means that + anyone that can create a VAP can author a static “false” condition for + `operation=*` and `resources=*`, which blocks all writes to the cluster, until + an admin removes the offending VAP. Thus should not “create VAP” permissions + be handed out to lower-privileged principals, e.g. namespaced administrators, + who otherwise legitimately would need to write conditionally authorized + policies. +4. Strict ordering of creates and deletes: In order to not at any point leak + data, must the VAP deny rule be authored *and successfully activated* before + the RBAC allow rules are, and vice versa for deletes. +5. The conditions do not show up in a (Self)SubjectAccessReview, but are only + noticed by a user subject to the policy upon performing a request. + +Finally, an authorizer cannot expose a unified interface to the policy author, +as the authorizer might not be able to control the admission plugins or cluster +setup process otherwise of the cluster it serves authorization decisions to. +That means, that without this conditional authorization feature, the authorizer +cannot return conditional responses, as it cannot be sure they will be correctly +enforced in the API server chain (again, as the enforcement admission controller +might or might not exist). ![Over-grant in RBAC, deny in VAP](images/over-grant-rbac-deny-vap.png) -To achieve the goal of making an authorizer able to enforce invariants on the resource data as if it had access to it, and critically, expose a unified experience to the policy authors, the process is split in two (for conditional policies only, all existing policies and logic are unchanged): - -1. In the authorization stage, the authorizer **partially evaluates** the conditional policies such that the old and new objects and request options are marked unknown (and thus un-evaluatable). If the policy is satisfied *in every other regard* than as a function on the unknown data, this condition on the unknown data is returned by the authorizer to the API server. -2. If there is a chance of the request becoming authorized, the API server proceeds with the request, and enforces the conditions (as a validating admission step) by either evaluating the conditions in-process (if supported), or by calling the authorizer to evaluate the value of the conditions, now given all possible data. - -Notably, this design achieves its goal of unified authorization expressions across authorization and admission, without the breaking the reasons why authorizers do not have direct access to the request body in the authorization stage: - -1) Conditional Authorization is only supported for certain requests, namely whenever admission is invoked (verbs create, update, patch, delete). -2) Any request that cannot become authorized, regardless of the value of the resource data, is rejected already at the authorization stage, thanks to partial evaluation. -3) The conditions are part of the returned authorization decision, and partial evaluation is a deterministic function, i.e. the same output (which includes the conditions) is guaranteed for the same inputs (metadata and policy store content). -4) The API server enforces the conditions in the validating admission stage, where access to the objects is available with the correct consistency guarantees. - -The abstract Authorizer function definition is augmented from `a: Metadata x PolicyStore → Decision` today to `a: Metadata x PolicyStore → Decision x ConditionSet`. Concretely, the `Decision` enum of the API server gets two new variants: `ConditionalAllow` and `ConditionalDeny`. The `authorizer.Authorizer` Go interface’s function signature naturally cannot be changed due to backwards compatibility requirements, but instead are two dedicated functions used for invoking an authorizer with potentially a conditional response, and returning a conditional response from the authorizer: +To achieve the goal of making an authorizer able to enforce invariants on the +resource data as if it had access to it, and critically, expose a unified +experience to the policy authors, the process is split in two (for conditional +policies only, all existing policies and logic are unchanged): + +1. In the authorization stage, the authorizer **partially evaluates** the + conditional policies such that the old and new objects and request options + are marked unknown (and thus un-evaluatable). If the policy is satisfied *in + every other regard* than as a function on the unknown data, this condition on + the unknown data is returned by the authorizer to the API server. +2. If there is a chance of the request becoming authorized, the API server + proceeds with the request, and enforces the conditions (as a validating + admission step) by either evaluating the conditions in-process (if + supported), or by calling the authorizer to evaluate the value of the + conditions, now given all possible data. + +Notably, this design achieves its goal of unified authorization expressions +across authorization and admission, without the breaking the reasons why +authorizers do not have direct access to the request body in the authorization +stage: + +1. Conditional Authorization is only supported for certain requests, namely + whenever admission is invoked (verbs create, update, patch, delete). +1. Any request that cannot become authorized, regardless of the value of the + resource data, is rejected already at the authorization stage, thanks to + partial evaluation. +1. The conditions are part of the returned authorization decision, and partial + evaluation is a deterministic function, i.e. the same output (which includes + the conditions) is guaranteed for the same inputs (metadata and policy store + content). +1. The API server enforces the conditions in the validating admission stage, + where access to the objects is available with the correct consistency + guarantees. + +The abstract Authorizer function definition is augmented from +`a: Metadata x PolicyStore → Decision` today to +`a: Metadata x PolicyStore → Decision x ConditionSet`. Concretely, the +`Decision` enum of the API server gets two new variants: `ConditionalAllow` and +`ConditionalDeny`. The `authorizer.Authorizer` Go interface’s function signature +naturally cannot be changed due to backwards compatibility requirements, but +instead are two dedicated functions used for invoking an authorizer with +potentially a conditional response, and returning a conditional response from +the authorizer: ```go package authorizer @@ -90,21 +162,63 @@ func AuthorizeWithConditionalSupport(ctx context.Context, attrs Attributes, auth func NewConditionalDecision(ctx context.Context, self ConditionalAuthorizer, conditions *ConditionSet) (Decision, string, error) ``` -The abstract, deterministic function for an authorizer evaluating its conditions into an unconditional Decision (`Allow,` `Deny,` or `NoOpinion`) is defined as: `e: ConditionSet x Object x Object x Options → Decision`. Note that this function *should not* have access to the policy store; this is by design, as it makes this two-stage mechanism *atomic*, just like it would have been if it could have been evaluated directly. - -A condition set, returned by some authorizer, is a map from an authorizer-scoped identifier to a condition. Formally, a condition is a function `c: Object x Object x Options → Boolean`. A condition has an *effect*, which controls how the condition evaluating to “true” should be treated, e.g. should it lead to an `Allow,` `Deny,` or `NoOpinion` response. A condition also has a type, a simple string declaring in what format the condition is encoded. The condition type can be well-known and transparent (e.g. CEL, OPA, or Cedar formats), or opaque and authorizer-specific. Note: Even though the “full” new and old objects are given as inputs to the condition in this model, the authorizer is free to choose how much of that API surface is exposed to policy authors. Some authorizer might decide to e.g. only expose field-selectable fields in the expression model given to the policy author. - -Conditional authorization is available to both in-tree and webhook authorizers. Conditional authorization is a generalization of the interaction between e.g. the Node authorizer and NodeRestriction admission controller. Even though the default assumption is that the authorizer authoring conditions is also responsible for evaluating them, that tight coupling is not necessary. An in-process, CEL-based ConditionSet evaluator is proposed, which can evaluate ConditionSets where every condition is of CEL type. The vast amount of ValidatingAdmissionPolicy CEL infrastructure can be re-used for this evaluator almost as-is. - -TODO: Picture how it could be, e.g. a\_allatonce : Metadata x Object x Object x Options x PolicyStore → Decision vs how it is: a: Metadata x PolicyStore → Decision x Conditions and r: Conditions x Object x Object x Options → Decision. - -The following picture summarizes how, with this feature, a webhook authorizer can expose a unified policy authoring experience (e.g. through Cedar or CEL) by returning conditions that are propagated with the request chain until admission, in which it can be enforced in-process with the builtin CEL conditions enforcer, if available, or through another admission-time webhook (not shown in the picture). +TODO(luxas): Change this to propose another Authorizer interface instead, with upcasting. + +The abstract, deterministic function for an authorizer evaluating its conditions +into an unconditional Decision (`Allow,` `Deny,` or `NoOpinion`) is defined as: +`e: ConditionSet x Object x Object x Options → Decision`. Note that this +function *should not* have access to the policy store; this is by design, as it +makes this two-stage mechanism *atomic*, just like it would have been if it +could have been evaluated directly. + +A condition set, returned by some authorizer, is a map from an authorizer-scoped +identifier to a condition. Formally, a condition is a function +`c: Object x Object x Options → Boolean`. A condition has an *effect*, which +controls how the condition evaluating to “true” should be treated, e.g. should +it lead to an `Allow,` `Deny,` or `NoOpinion` response. A condition also has a +type, a simple string declaring in what format the condition is encoded. The +condition type can be well-known and transparent (e.g. CEL, OPA, or Cedar +formats), or opaque and authorizer-specific. Note: Even though the “full” new +and old objects are given as inputs to the condition in this model, the +authorizer is free to choose how much of that API surface is exposed to policy +authors. Some authorizer might decide to e.g. only expose field-selectable +fields in the expression model given to the policy author. + +Conditional authorization is available to both in-tree and webhook authorizers. +Conditional authorization is a generalization of the interaction between e.g. +the Node authorizer and NodeRestriction admission controller. Even though the +default assumption is that the authorizer authoring conditions is also +responsible for evaluating them, that tight coupling is not necessary. An +in-process, CEL-based ConditionSet evaluator is proposed, which can evaluate +ConditionSets where every condition is of CEL type. The vast amount of +ValidatingAdmissionPolicy CEL infrastructure can be re-used for this evaluator +almost as-is. + +TODO: Picture how it could be, e.g. +`a\_allatonce : Metadata x Object x Object x Options x PolicyStore → Decision` +vs how it is: `a: Metadata x PolicyStore → Decision x Conditions` and +`e: Conditions x Object x Object x Options → Decision`. + +The following picture summarizes how, with this feature, a webhook authorizer +can expose a unified policy authoring experience (e.g. through Cedar or CEL) by +returning conditions that are propagated with the request chain until admission, +in which it can be enforced in-process with the builtin CEL conditions enforcer, +if available, or through another admission-time webhook (not shown in the +picture). ![Webhook Architecture](images/webhook-architecture.png) -Together with the [Authorize with Selectors KEP](https://github.com/kubernetes/enhancements/blob/2871b58880f5629f948b4ef50bffec0d1a677eeb/keps/sig-auth/4601-authorize-with-selectors/README.md), it becomes possible to provide policy authors to write unified policies across both authorization and admission, and **reads and writes**, at least whenever operating on field-selectable fields. A practical example would be “allow user Alice to perform *any verb* on PersistentVolumes, *but only when spec.storageClassName is ‘dev’*” (assuming storageClassName is/would become field-selectable). +Together with the +[Authorize with Selectors KEP](https://github.com/kubernetes/enhancements/blob/2871b58880f5629f948b4ef50bffec0d1a677eeb/keps/sig-auth/4601-authorize-with-selectors/README.md), +it becomes possible to provide policy authors to write unified policies across +both authorization and admission, and **reads and writes**, at least whenever +operating on field-selectable fields. A practical example would be “allow user +Alice to perform *any verb* on PersistentVolumes, *but only when +spec.storageClassName is ‘dev’*” (assuming storageClassName is/would become +field-selectable). -Consider that before this KEP, a user might need to use two or even three different paradigms to protect both data and metadata across reads and writes: +Consider that before this KEP, a user might need to use two or even three +different paradigms to protect both data and metadata across reads and writes: ![Read/write and data/metadata consistency before this KEP](images/authorize-with-selectors-before.png) @@ -112,285 +226,469 @@ But after this KEP, it is possible to use a unified paradigm for all types: ![Read/write and data/metadata consistency after this KEP](images/authorize-with-selectors-after.png) -For a practical example of what this unified interface can look like, take a look at Lucas' proof of concept at [upbound/kubernetes-cedar-authorizer](https://github.com/upbound/kubernetes-cedar-authorizer), in particular the [getting started guide](https://github.com/upbound/kubernetes-cedar-authorizer/blob/main/docs/GETTING_STARTED.md). If this project proves generally useful, it can be donated to a fitting place in the CNCF ecosystem (e.g. kubernetes-sigs or Cedar, which is now a CNCF Sandbox project). For more detailed information about the project and the philosophy behind it, take a look at [Lucas’ Master’s thesis](https://github.com/luxas/research/blob/main/msc_thesis.pdf) (written at Aalto University). +For a practical example of what this unified interface can look like, take a +look at Lucas' proof of concept at +[upbound/kubernetes-cedar-authorizer](https://github.com/upbound/kubernetes-cedar-authorizer), +in particular the +[getting started guide](https://github.com/upbound/kubernetes-cedar-authorizer/blob/main/docs/GETTING_STARTED.md). +If this project proves generally useful, it can be donated to a fitting place in +the CNCF ecosystem (e.g. kubernetes-sigs or Cedar, which is now a CNCF Sandbox +project). For more detailed information about the project and the philosophy +behind it, take a look at +[Lucas’ Master’s thesis](https://github.com/luxas/research/blob/main/msc_thesis.pdf) +(written at Aalto University). ### Initial Design Resources -- SIG Auth meeting June 4, 2025: [meeting notes](https://docs.google.com/document/d/1woLGRoONE3EBVx-wTb4pvp4CI7tmLZ6lS26VTbosLKM/edit?tab=t.0#heading=h.2p3xwolypqkm), [video](https://youtu.be/Clg-rz9qlUA?si=Ay4Dddd-iJRnC89R), [slides](https://speakerdeck.com/luxas/conditional-authorization-for-kubernetes-sig-auth-presentation) -- SIG Auth Deep Dive on Conditional Authorization Sept 4, 2025: [meeting notes](https://docs.google.com/document/d/1woLGRoONE3EBVx-wTb4pvp4CI7tmLZ6lS26VTbosLKM/edit?tab=t.0#heading=h.147ygvibasgh), [video](https://zoom.us/rec/share/24DwlfWfrP7UZEMtkpk1XvpNP_sQuRrE7FQxKoJDRRbJ-vJTBarrEermV2-XSD5p.LSzKv2wS797xMYTs), [slides](https://speakerdeck.com/luxas/conditional-authorization-sig-auth-deep-dive) -- Proof of Concept implementation: [luxas/conditional\_authz\_4](https://github.com/kubernetes/kubernetes/compare/master...luxas:kubernetes:conditional_authz_4?expand=1) branch +- SIG Auth meeting June 4, 2025: + [meeting notes](https://docs.google.com/document/d/1woLGRoONE3EBVx-wTb4pvp4CI7tmLZ6lS26VTbosLKM/edit?tab=t.0#heading=h.2p3xwolypqkm), + [video](https://youtu.be/Clg-rz9qlUA?si=Ay4Dddd-iJRnC89R), + [slides](https://speakerdeck.com/luxas/conditional-authorization-for-kubernetes-sig-auth-presentation) +- SIG Auth Deep Dive on Conditional Authorization Sept 4, 2025: + [meeting notes](https://docs.google.com/document/d/1woLGRoONE3EBVx-wTb4pvp4CI7tmLZ6lS26VTbosLKM/edit?tab=t.0#heading=h.147ygvibasgh), + [video](https://zoom.us/rec/share/24DwlfWfrP7UZEMtkpk1XvpNP_sQuRrE7FQxKoJDRRbJ-vJTBarrEermV2-XSD5p.LSzKv2wS797xMYTs), + [slides](https://speakerdeck.com/luxas/conditional-authorization-sig-auth-deep-dive) +- Proof of Concept implementation: + [luxas/conditional\_authz\_4](https://github.com/kubernetes/kubernetes/compare/master...luxas:kubernetes:conditional_authz_4?expand=1) + branch ### Goals -- Provide a way for an authorizer (and policy author) to only authorize certain write operations, when the payload or stored object satisfies some specific conditions -- Allow users subject to conditional policies discover what conditions they are subject to through (Self)SubjectAccessReview -- Ensure that a request is evaluated against an atomic set of policies in the authorizer, even in presence of cached authorization decisions -- Allow conditions to be expressed in both transparent, analyzable forms (e.g. using languages like Cedar or CEL), or opaque ones (e.g. a UUID reference to some policy within the authorizer that must be satisfied) -- Support expressing both “Allow” and “Deny” effect conditions (even though deny conditions might be implemented at a later stage if needed). -- Provide the foundational framework on top of which we can build an RBAC++ API -- Make it possible to encode the logic of the NodeRestriction admission controller through a condition returned by the Node authorizer -- Enable a path in which the Conditional Impersonation KEP could be implemented by an authorizer returning a set of conditions on what kind of request (action and resource) the impersonating user can impersonate +- Provide a way for an authorizer (and policy author) to only authorize certain + write operations, when the payload or stored object satisfies some specific + conditions +- Allow users subject to conditional policies discover what conditions they are + subject to through (Self)SubjectAccessReview +- Ensure that a request is evaluated against an atomic set of policies in the + authorizer, even in presence of cached authorization decisions +- Allow conditions to be expressed in both transparent, analyzable forms (e.g. + using languages like Cedar or CEL), or opaque ones (e.g. a UUID reference to + some policy within the authorizer that must be satisfied) +- Support expressing both “Allow” and “Deny” effect conditions (even though deny + conditions might be implemented at a later stage if needed). +- Provide the foundational framework on top of which we can build an RBAC++ API +- Make it possible to encode the logic of the NodeRestriction admission + controller through a condition returned by the Node authorizer +- Enable a path in which the Conditional Impersonation KEP could be implemented + by an authorizer returning a set of conditions on what kind of request (action + and resource) the impersonating user can impersonate ### Non-goals -- Designing or mandating use of a specific policy language as the user experience +- Designing or mandating use of a specific policy language as the user experience - Designing or mandating use of a specific “official” condition syntax - Expose the conditions to arbitrary admission controllers - Support conditional authorization for requests other than write and connect verbs. ### Requirements -- Must preserve order of authorizers; evaluation must not differ from how it has been evaluated using separate authorization and admission phases. -- Works for connectible (CONNECT verb) resources; potentially only when the accessing the connect action through POST (TODO: decide on this) -- It should still be the case that only if the request *can become authorized* (depending only on the objects), the request payload should be decoded. We must not decode the object before this, as that would be a DoS attack vector. -- The combined result of the partial authorization \+ later condition enforcement must be the same as if the request and etcd-stored objects were used in authorization directly in one step -- Keep backwards compatibility within version skew, as always. Also, and in particular, for those vendoring [k8s.io/apiserver](http://k8s.io/apiserver). -- Consider that a patch or update in authorization can turn into a create in admission, patch in authorization can turn into an update in admission, and deletecollection in authorization turns into a delete in admission. +- Must preserve order of authorizers; evaluation must not differ from how it has + been evaluated using separate authorization and admission phases. +- Works for connectible (CONNECT verb) resources; only when the accessing the + connect action through POST (which we can guarantee works through compound + authorization, see below) +- It should still be the case that only if the request *can become authorized* + (depending only on the objects), the request payload should be decoded. We + must not decode the object before this, as that would be a DoS attack vector. +- The combined result of the partial authorization \+ later condition + enforcement must be the same as if the request and etcd-stored objects were + used in authorization directly in one step +- Keep backwards compatibility within version skew, as always. Also, and in + particular, for those vendoring [k8s.io/apiserver](http://pkg.go.dev/k8s.io/apiserver). +- Consider that a patch or update in authorization can turn into a create in + admission, patch in authorization can turn into an update in admission, and + deletecollection in authorization turns into a delete in admission. ### Example Use Cases -- Only allow a principal to create CertificateSigningRequests with a given signer -- Only allow a principal to update a resource as long as a sensitive field is not changed +- Only allow a principal to create CertificateSigningRequests with a given signer +- Only allow a principal to update a resource as long as a sensitive field is + not changed - Only allow a principal to issue a ServiceAccount token with a given audience - Only allow a controller to use a specific finalizer -- Only allow a node agent to handle resources where .spec.nodeName=\ -- Only allow creating or updating a ResourceClaim when adminAccess=false (generalization of DRA AdminAccess) +- Only allow a node agent to handle resources where `.spec.nodeName=` +- Only allow creating or updating a ResourceClaim when adminAccess=false + (generalization of DRA AdminAccess) - Only allow a principal to create objects with certain names -- Only allow proxying certain URLs in the node proxy (generic solution to [KEP-2862: Fine-grained Kubelet API Authorization](https://github.com/kubernetes/enhancements/blob/master/keps/sig-node/2862-fine-grained-kubelet-authz/README.md)) -- Encode the logic of the NodeRestriction admission controller through a condition returned by the Node authorizer -- Empower out-of-tree authorizers to perform finer-grained policies, e.g. with ABAC and/or label-based controls +- Only allow proxying certain URLs in the node proxy (generic solution to + [KEP-2862: Fine-grained Kubelet API Authorization](https://github.com/kubernetes/enhancements/blob/master/keps/sig-node/2862-fine-grained-kubelet-authz/README.md)) +- Encode the logic of the NodeRestriction admission controller through a + condition returned by the Node authorizer +- Empower out-of-tree authorizers to perform finer-grained policies, e.g. with + ABAC and/or label-based controls ## Proposal ### Introduction to partial evaluation and why it is useful to solve this problem -Kubernetes authorization today only operates on metadata that can be parsed from the HTTP request URI, headers, or method. There are good reasons for this, but the primary one is to avoid excessive resource usage and thus denial of service attacks. - -If the request payload was given to every authorizer, the bound on how much time is reasonable for an authorizer to make a decision would be much looser, and the API server would decode any request payload from potentially untrusted users, without knowing first if it is possible for this request to even in theory be authorized. - -Thus does it make sense for authorization to be based solely on metadata, from a theoretical standpoint. However, users do not necessarily (want to) understand this distinction between the authorization (metadata) and admission (all available data) phases, especially if the UX of those phases are different. - -Fortunately there is a path towards both protection against untrusted users and a unified, consistent user experience through **partial evaluation**. Partial evaluation is the process of evaluating policy expressions as far as possible with available metadata, and crucially, *pruning* all policies that would resolve to the constant false – no matter what the request payload is. However, if all checks that refer to the metadata fold into true, what is left of the policy expression is either true (unconditional allow) or some condition on the request payload, which during the partial evaluation process is explicitly marked *unknown*. - -**Example 1**: Consider a ValidatingAdmissionPolicy-like CEL environment syntax, and how the following two policies would be partially evaluated for the two example users Alice and Bob: - -- Allow Policy 1: “request.apiGroup \== “” && request.userInfo.username \== ‘Bob’” -- Allow Policy 2: “request.apiGroup \== “” - && request.resource \== “persistentvolumeclaims” - && request.verb \== “create” - && request.userInfo.username \== ‘Alice’ - && object.spec.storageClassName \== “dev”” - -Now, if Alice performs a create PersistentVolumeClaims, what will the policies partially evaluate to, when “object” is kept unknown, but everything else is specified? +Kubernetes authorization today only operates on metadata that can be parsed from +the HTTP request URI, headers, or method. There are good reasons for this, but +the primary one is to avoid excessive resource usage and thus denial of service +attacks. + +If the request payload was given to every authorizer, the bound on how much time +is reasonable for an authorizer to make a decision would be much looser, and the +API server would decode any request payload from potentially untrusted users, +without knowing first if it is possible for this request to even in theory be +authorized. + +Thus does it make sense for authorization to be based solely on metadata, from a +theoretical standpoint. However, users do not necessarily (want to) understand +this distinction between the authorization (metadata) and admission (all +available data) phases, especially if the UX of those phases are different. + +Fortunately there is a path towards both protection against untrusted users and +a unified, consistent user experience through **partial evaluation**. Partial +evaluation is the process of evaluating policy expressions as far as possible +with available metadata, and crucially, *pruning* all policies that would +resolve to the constant false – no matter what the request payload is. However, +if all checks that refer to the metadata fold into true, what is left of the +policy expression is either true (unconditional allow) or some condition on the +request payload, which during the partial evaluation process is explicitly +marked *unknown*. + +**Example 1**: Consider a ValidatingAdmissionPolicy-like CEL environment syntax, +and how the following two policies would be partially evaluated for the two +example users Alice and Bob: + +- Allow Policy 1: “request.apiGroup \== “” && request.userInfo.username \== ‘Bob’” +- Allow Policy 2: “request.apiGroup \== “” + && request.resource \== “persistentvolumeclaims” + && request.verb \== “create” + && request.userInfo.username \== ‘Alice’ + && object.spec.storageClassName \== “dev”” + +Now, if Alice performs a create PersistentVolumeClaims, what will the policies +partially evaluate to, when “object” is kept unknown, but everything else is +specified? - Allow Policy 1: “true && false” \=\> false - Allow Policy 2: “true && true && true && true && object.spec.storageClassName \== “dev”” -In this example, the result of each sub-expression is shown for clarity. Policy 1 clearly evaluates to false, without even knowing the value of “object”. Policy 2 is a *residual expression*, without knowing the object, it is impossible to assign a truth value to it. +In this example, the result of each sub-expression is shown for clarity. Policy +1 clearly evaluates to false, without even knowing the value of “object”. Policy +2 is a *residual expression*, without knowing the object, it is impossible to +assign a truth value to it. -Next, let’s consider what happens if Bob performs create persistentvolumeclaims in the same setting (object is unknown): +Next, let’s consider what happens if Bob performs create persistentvolumeclaims +in the same setting (object is unknown): - Allow Policy 1: “true && true” \=\> true - Allow Policy 2: “true && true && true && false && object.spec.storageClassName \== “dev”” \=\> false -Now, note that Policy 1 returned an unconditional allow, and that Policy 2 in this context will be false, no matter what the value of the object is. There is no need to evaluate further than the first ANDed false sub-expression in Policy 2, as one can soundly conclude that due to the fourth sub-expression evaluating to false, there is no way the expression could become true later. Also, note that “Allow OR Conditional Allow \=\> Allow”, that is, if both a conditional and unconditional allow exists, the OR result is unconditional allow regardless of what the conditional allow would evaluate to. This positive pruning is also useful. +Now, note that Policy 1 returned an unconditional allow, and that Policy 2 in +this context will be false, no matter what the value of the object is. There is +no need to evaluate further than the first ANDed false sub-expression in Policy +2, as one can soundly conclude that due to the fourth sub-expression evaluating +to false, there is no way the expression could become true later. Also, note +that “Allow OR Conditional Allow \=\> Allow”, that is, if both a conditional and +unconditional allow exists, the OR result is unconditional allow regardless of +what the conditional allow would evaluate to. This positive pruning is also +useful. Finally, what would happen if Eve tries to create PersistentVolumeClaims: - Allow Policy 1: “true && false” \=\> false - Allow Policy 2: “true && true && true && false && object.spec.storageClassName \== “dev”” \=\> false -This gives us both properties we want: Eve is denied access immediately in the authorization stage (without ever decoding the body), while it being possible to express a policy that spans both authorization and admission (policy 2). +This gives us both properties we want: Eve is denied access immediately in the +authorization stage (without ever decoding the body), while it being possible to +express a policy that spans both authorization and admission (policy 2). -Three adjacent systems support partial evaluation: [Cedar](https://github.com/cedar-policy/rfcs/blob/main/text/0095-type-aware-partial-evaluation.md), [CEL](https://pkg.go.dev/github.com/google/cel-go@v0.26.1/cel#Env.PartialVars) and [OPA](https://blog.openpolicyagent.org/partial-evaluation-162750eaf422). +Three adjacent systems support partial evaluation: +[Cedar](https://github.com/cedar-policy/rfcs/blob/main/text/0095-type-aware-partial-evaluation.md), +[CEL](https://pkg.go.dev/github.com/google/cel-go@v0.26.1/cel#Env.PartialVars) +and [OPA](https://blog.openpolicyagent.org/partial-evaluation-162750eaf422). In +particular the Cedar RFC has good argumentation on why partial evaluation only +works well in cases where all expressions have a concrete type. -After partial evaluation has been performed successfully, the only variables left are: +After partial evaluation has been performed successfully, the only variables +left are: - request/new object - stored/old object - options object -- admission operation (CREATE/UPDATE/DELETE). This cannot in fact be known up front, even if we know the authorization verb, as e.g. the “patch” authorization verb using Server-Side Apply can become a CREATE operation or a normal UPDATE operation. - -For example, if a sub-expression of a policy is initially “object.name \== request.userInfo.username”, then by the end of the partial evaluation process, the known variable “request.userInfo.username” *must* be substituted with its concrete value (say ‘lucas’), which yields the expression “object.name \== ‘lucas’”. In other words, the residual expression should not depend on any variables already known, but instead just substitute known variable values with constants. - -One quite tricky technical detail about partial evaluation is the short-circuiting of e.g. the common “&&” and “||” operators, especially with regards to errors. Clearly, “false && \” can be simplified to “false”. However, “\ && false” can either be “false” or “error”, if evaluating “\” produces an error. Thus is not the && operator commutative. However, the authorizer *should* only return conditions that, depending on the resource data, *could* become true. Returning conditions that are always false is a waste of resources, as the request could get farther into the request chain this way, but later just get denied. In other words, the authorizer should not return a condition of form “\ && false” with Allow effect. As conditions with Deny effect are sensitive to errors, it is, however, reasonable to return “\ && false” with a deny effect, if one wants to make sure that if the error happens, the request fails closed. +- admission operation (CREATE/UPDATE/DELETE). This cannot in fact be known up + front, even if we know the authorization verb, as e.g. the “patch” + authorization verb using Server-Side Apply can become a CREATE operation or a + normal UPDATE operation. + +For example, if a sub-expression of a policy is initially +`object.name == request.userInfo.username`, then by the end of the partial +evaluation process, the known variable “request.userInfo.username” *must* be +substituted with its concrete value (say ‘lucas’), which yields the expression +“object.name \== ‘lucas’”. In other words, the residual expression should not +depend on any variables already known, but instead just substitute known +variable values with constants. + +One quite tricky technical detail about partial evaluation is the +short-circuiting of e.g. the common “&&” and “||” operators, especially with +regards to errors. Clearly, `false && ` can be simplified to +“false”. However, ` && false` can either be “false” or “error”, if +evaluating `` produces an error. Thus is not the && operator +commutative. However, the authorizer *should* only return conditions that, +depending on the resource data, *could* become true. Returning conditions that +are always false is a waste of resources, as the request could get farther into +the request chain this way, but later just get denied. In other words, the +authorizer should not return a condition of form ` && false` with +Allow effect. As conditions with Deny effect are sensitive to errors, it is, +however, reasonable to return ` && false` with a deny effect, if one +wants to make sure that if the error happens, the request fails closed. ### Why propagate the conditions with the request? -In the summary, it was already concluded that the authorizer needs to be able to depend on the API server to “call the authorizer back” with the resource data, whenever a conditional decision is returned. However, let’s consider two major alternative designs before going deeply into the current design. Instead of the authorizer returning a concrete set of conditions to Kubernetes, one could imagine two other methods, as follows: - -1. The authorizer does not return a Condition Set, but relies on Kubernetes to send an AdmissionReview to the authorizer whenever a conditional decision (just a bit) was made. The authorizer then re-evaluates all policies against the AdmissionReview with complete data. This approach has many drawbacks: - 1. **Two full evaluations needed:** During the authorization phase, the worst-case runtime is O(nk), where n is the number of policies, and k is the maximum policy evaluation time. The admission-time evaluation would also be O(nk) in this case. - 1. With this proposal, only O(k) time would be required in admission, given that the amount of conditions is O(1) for a typical request. - 2. **Non-atomicity**: For a given authorizer, a request should be authorized from exactly one policy store snapshot. If two full re-evaluations were done, the latter (admission-time) policy store semantics would apply, if the policy store changed between the request performed authorization and admission. - 1. With this proposal, the conditions are computed at authorization time by partial evaluation and unmodified enforced at admission, exactly and only the authorization-time policy store semantics apply. - 3. **Tight coupling between conditions authoring and evaluation**: The authorizer would be the only entity which would be able to evaluate the conditional response in the admission stage, which forms a forced tight coupling. Two webhooks per authorizer per request is necessary. - 1. With this proposal, builtin conditions enforcers might evaluate and enforce the conditions in-process, without a need for another webhook in admission. One such builtin enforcer is proposed to be CEL-based. This is faster and more reliable. - 4. **Not observable through (Self)SubjectAccessReview**: As for admission today, a user subject to a policy would not know what policy they are subject to before they execute a request that violates it (hopefully with a nice error message). - 1. With this proposal, a user can see the conditions serialized in the (Self)SubjectAccessReview. Some of the conditions might be opaque (like “policy16”), yes, but at least the user might know where to look next. -2. The authorizer does not return a Condition Set, but instead caches the conditions in a memory. The authorizer relies on Kubernetes to generate a random “request ID”, which is passed to both SubjectAccessReview and AdmissionReview webhooks, so the authorizer can know which conditions to apply to which request. - 1. This approach does not have the “Two full evaluations needed” and “Non-atomicity” problems of the first alternative approach, as only the conditions need to be atomically evaluated against the resource data. However, this approach is subject to the “Tight coupling” and “Not observable through (Self)SubjectAccessReview” problems. In addition, the following problems arise: - 2. **A stateful authorizer is complex and hard to scale:** The authorizer must be way more complex, as it needs to keep a lookup table of request ID to condition set internally. If the authorizer needs to be horizontally scaled, the load balancer in front of the horizontally scaled authorizers would somehow need to know which authorizer replica has what requests’ conditions stored in memory. - 1. With this proposal, the authorizer is allowed to be stateless and thus simpler. Therefore, also the horizontal scaling can be done in a straightforward manner, from this perspective. - 3. **Unclear caching semantics**: The authorizer would need to cache the conditions in memory for at least as long as SubjectAccessReview requests can be cached, for the above atomicity invariant to hold. However, the authorizer does not (generally) know the API server configuration, and thus does not know how long to cache the conditions, or if at all. +In the summary, it was already concluded that the authorizer needs to be able to +depend on the API server to “call the authorizer back” with the resource data, +whenever a conditional decision is returned. However, let’s consider two major +alternative designs before going deeply into the current design. Instead of the +authorizer returning a concrete set of conditions to Kubernetes, one could +imagine two other methods, as follows: + +1. The authorizer does not return a Condition Set, but relies on Kubernetes to + send an `AdmissionReview` to the authorizer whenever a conditional decision + (just a bit) was made. The authorizer then re-evaluates all policies against + the AdmissionReview with complete data. This approach has many drawbacks: + 1. **Two full evaluations needed:** During the authorization phase, the + worst-case runtime is `O(nk)`, where n is the number of policies, and k is + the maximum policy evaluation time. The admission-time evaluation would + also be `O(nk)` in this case. + 1. With this proposal, only `O(k)` time would be required in admission, + given that the amount of conditions is O(1) for a typical request. + 2. **Non-atomicity**: For a given authorizer, a request should be authorized + from exactly one policy store snapshot. If two full re-evaluations were + done, the latter (admission-time) policy store semantics would apply, if + the policy store changed between the request performed authorization and + admission. + 1. With this proposal, the conditions are computed at authorization time + by partial evaluation and unmodified enforced at admission, exactly and + only the authorization-time policy store semantics apply. + 3. **Tight coupling between conditions authoring and evaluation**: The + authorizer would be the only entity which would be able to evaluate the + conditional response in the admission stage, which forms a forced tight + coupling. Two webhooks per authorizer per request is necessary. + 1. With this proposal, builtin conditions enforcers might evaluate and + enforce the conditions in-process, without a need for another webhook + in admission. One such builtin enforcer is proposed to be CEL-based. + This is faster and more reliable. + 4. **Not observable through (Self)SubjectAccessReview**: As for admission + today, a user subject to a policy would not know what policy they are + subject to before they execute a request that violates it (hopefully with + a nice error message). + 1. With this proposal, a user can see the conditions serialized in the + (Self)SubjectAccessReview. Some of the conditions might be opaque (like + “policy16”), yes, but at least the user might know where to look next. +2. The authorizer does not return a Condition Set, but instead caches the + conditions in a memory. The authorizer relies on Kubernetes to generate a + random “request ID”, which is passed to both SubjectAccessReview and + AdmissionReview webhooks, so the authorizer can know which conditions to + apply to which request. + 1. This approach does not have the “Two full evaluations needed” and + “Non-atomicity” problems of the first alternative approach, as only the + conditions need to be atomically evaluated against the resource data. + However, this approach is subject to the “Tight coupling” and “Not + observable through (Self)SubjectAccessReview” problems. In addition, the + following problems arise: + 2. **A stateful authorizer is complex and hard to scale:** The authorizer + must be way more complex, as it needs to keep a lookup table of request ID + to condition set internally. If the authorizer needs to be horizontally + scaled, the load balancer in front of the horizontally scaled authorizers + would somehow need to know which authorizer replica has what requests’ + conditions stored in memory. + 1. With this proposal, the authorizer is allowed to be stateless and thus + simpler. Therefore, also the horizontal scaling can be done in a + straightforward manner, from this perspective. + 3. **Unclear caching semantics**: The authorizer would need to cache the + conditions in memory for at least as long as SubjectAccessReview requests + can be cached, for the above atomicity invariant to hold. However, the + authorizer does not (generally) know the API server configuration, and + thus does not know how long to cache the conditions, or if at all. ### Condition and ConditionSet data model -The data model is shown in Go pseudocode. These types and interfaces could be put in [k8s.io/apiserver/pkg/authorization/authorizer](http://k8s.io/apiserver/pkg/authorization/authorizer), or in a sub-package. They are abstract, non-serializable types, which concrete implementations implement or convert to/from. +The data model is shown in Go pseudocode. These types and interfaces could be +put in +[k8s.io/apiserver/pkg/authorization/authorizer](http://k8s.io/apiserver/pkg/authorization/authorizer), +or in a sub-package. They are abstract, non-serializable types, which concrete +implementations implement or convert to/from. ```go - package authorizer // ConditionEffect specifies how a condition evaluating to true should be handled. type ConditionEffect string const ( - // If any Deny condition evaluates to true, the ConditionSet -// necessarily evaluates to Deny. No further authorizers -// are consulted. - EffectDeny ConditionEffect = "Deny" - // If a NoOpinion condition evaluates to true, the given -// authorizer’s ConditionSet cannot evaluate to Allow anymore, but -// necessarily Deny or NoOpinion, depending on whether there are any -// true EffectDeny conditions. -// However, later authorizers in the chain can still Allow or Deny. -// It is effectively a softer deny that just overrides the -// authorizer's own allow policies. It can be used if an authorizer -// does not consider itself fully authoritative for a given request. -// TODO: Talk about error handling; what happens if any of these -// conditions fail to evaluate. - EffectNoOpinion ConditionEffect = "NoOpinion" - // If an Allow condition evaluates to true, the ConditionSet evaluates -// to Allow, unless any Deny/NoOpinion condition also evaluates to -// true (in which case the Deny/NoOpinion conditions have precedence). - EffectAllow ConditionEffect = "Allow" + // If any Deny condition evaluates to true, the ConditionSet + // necessarily evaluates to Deny. No further authorizers + // are consulted. + EffectDeny ConditionEffect = "Deny" + // If a NoOpinion condition evaluates to true, the given + // authorizer’s ConditionSet cannot evaluate to Allow anymore, but + // necessarily Deny or NoOpinion, depending on whether there are any + // true EffectDeny conditions. + // However, later authorizers in the chain can still Allow or Deny. + // It is effectively a softer deny that just overrides the + // authorizer's own allow policies. It can be used if an authorizer + // does not consider itself fully authoritative for a given request. + // TODO: Talk about error handling; what happens if any of these + // conditions fail to evaluate. + EffectNoOpinion ConditionEffect = "NoOpinion" + // If an Allow condition evaluates to true, the ConditionSet evaluates + // to Allow, unless any Deny/NoOpinion condition also evaluates to + // true (in which case the Deny/NoOpinion conditions have precedence). + EffectAllow ConditionEffect = "Allow" ) // A condition to be evaluatedN@ type Condition struct { - // An alphanumeric string, max 255 bytes. - // Uniquely identifies the condition within the scope of the -// authorizer that authored the condition. Acts as a key for a -// slice of conditions, such that it can be used as a map. -// The FailureMode of the ConditionalAuthorizer determines how to - // handle invalid ID values. - // Used for error messages, e.g. -// "condition 'no-pod-exec' denied the request" - ID string - // An opaque string that represents the condition that should be -// evaluated. A condition is evaluated after mutation. -// A pure, deterministic function from ConditionData to a Boolean. -// Might or might not be human-readable (could e.g. be -// base64-encoded), but max 1024 bytes. -// The FailureMode of the ConditionalAuthorizer determines how to - // handle too long Condition values. -Condition string - // How should the condition evaluating to "true" be treated. - // The FailureMode of the ConditionalAuthorizer determines how to - // handle unknown Effect values. - Effect ConditionEffect -// The format/encoding/language of the condition string. -// Any type starting with `k8s.io/` is reserved for Kubernetes -// condition types to be added in the future. -// The built-in CEL condition evaluator will use this domain. -// An authorizer must be able to evaluate any conditions it authors. -// Validated as a label key, i.e. an alphanumeric string with an -// optional prefix domain, in total max 63 bytes. -// The FailureMode of the ConditionalAuthorizer determines how to - // handle invalid Type values. -// TODO: We could consider forcing all conditions in a set to be of -// the same type, to avoid repeating this for every condition. -Type string - -// Optional human-friendly description that can be shown as an error -// message or for debugging. -// TODO: We might want to leave this out, in case it consumes too much -// resources to pass around. -Description string -// TODO: Do we need per-condition failure modes? + // An alphanumeric string, max 255 bytes. + // Uniquely identifies the condition within the scope of the + // authorizer that authored the condition. Acts as a key for a + // slice of conditions, such that it can be used as a map. + // The FailureMode of the ConditionalAuthorizer determines how to + // handle invalid ID values. + // Used for error messages, e.g. + // "condition 'no-pod-exec' denied the request" + ID string + // An opaque string that represents the condition that should be + // evaluated. A condition is evaluated after mutation. + // A pure, deterministic function from ConditionData to a Boolean. + // Might or might not be human-readable (could e.g. be + // base64-encoded), but max 1024 bytes. + // The FailureMode of the ConditionalAuthorizer determines how to + // handle too long Condition values. + Condition string + // How should the condition evaluating to "true" be treated. + // The FailureMode of the ConditionalAuthorizer determines how to + // handle unknown Effect values. + Effect ConditionEffect + // The format/encoding/language of the condition string. + // Any type starting with `k8s.io/` is reserved for Kubernetes + // condition types to be added in the future. + // The built-in CEL condition evaluator will use this domain. + // An authorizer must be able to evaluate any conditions it authors. + // Validated as a label key, i.e. an alphanumeric string with an + // optional prefix domain, in total max 63 bytes. + // The FailureMode of the ConditionalAuthorizer determines how to + // handle invalid Type values. + // TODO: We could consider forcing all conditions in a set to be of + // the same type, to avoid repeating this for every condition. + Type string + + // Optional human-friendly description that can be shown as an error + // message or for debugging. + // TODO: We might want to leave this out, in case it consumes too much + // resources to pass around. + Description string + // TODO: Do we need per-condition failure modes? } // ConditionSet represents a potentially conditional output from one authorizer. // TODO: Decide on a maximum amount of conditions? type ConditionSet struct { - // Some authorizers that are later in the chain than an authorizer that returned a conditional response, might return unconditional responses. Capture this in the ConditionSet. -// Mutually exclusive with set - unconditionalDecision *Decision - // Private field so constructor function can validate the conditions before adding them to the set. -set []Condition + // Some authorizers that are later in the chain than an authorizer that + // returned a conditional response, might return unconditional responses. + // Capture this in the ConditionSet. + // Mutually exclusive with set + unconditionalDecision *Decision + // Private field so constructor function can validate the conditions before + // adding them to the set. + set []Condition } ``` -### Conditional Authorizer interfaces and the AuthorizationConditionsEnforcer admission controller +### Core interfaces and the `AuthorizationConditionsEnforcer` admission controller -After the partial evaluation process, the condition is a function that takes the data available in admission, but not in authorization as input, and returns a boolean. The data structure for the input data is defined as follows: +After the partial evaluation process, the condition is a function that takes the +data available in admission, but not in authorization as input, and returns a +boolean. The data structure for the input data is defined as follows: ```go package authorizer -// TODO: This interface might need to change to something more generic, as e.g. constrained impersonation might use other contextual data (or we bake that data into GetObject()) +// TODO: This interface might need to change to something more generic, +// as e.g. constrained impersonation might use other contextual data +// (or we bake that data into GetObject()) type ConditionData interface { - // GetOperation is the operation being performed - GetOperation() string - // GetOperationOptions is the options for the operation being performed - GetOperationOptions() runtime.Object - // GetObject is the object from the incoming request prior to default values being applied. - // Only populated for CREATE and UPDATE requests. - GetObject() runtime.Object - // GetOldObject is the existing object. Only populated for UPDATE and DELETE requests. - GetOldObject() runtime.Object + // GetOperation is the operation being performed + GetOperation() string + // GetOperationOptions is the options for the operation being performed + GetOperationOptions() runtime.Object + // GetObject is the object from the incoming request prior to default values + // being applied. + // Only populated for CREATE and UPDATE requests. + GetObject() runtime.Object + // GetOldObject is the existing object. + // Only populated for UPDATE and DELETE requests. + GetOldObject() runtime.Object } ``` -Whenever the ConditionalAuthorization feature gate is enabled in the API server, there is an `AuthorizationConditionsEnforcer` validating admission controller whose job it is to evaluate the conditions, and enforce the decision that the condition set evaluated to. The validating admission controller operates on a fully-mutated request object just like other validating admission controllers, by design. +Whenever the ConditionalAuthorization feature gate is enabled in the API server, +there is an `AuthorizationConditionsEnforcer` validating admission controller +whose job it is to evaluate the conditions, and enforce the decision that the +condition set evaluated to. The validating admission controller operates on a +fully-mutated request object just like other validating admission controllers, +by design. -The signature for an entity that can evaluate a condition set into a concrete decision (`Allow,` `Deny,` or `NoOpinion`) is as follows: +The signature for an entity that can evaluate a condition set into a concrete +decision (`Allow,` `Deny,` or `NoOpinion`) is as follows: ```go package authorizer type ConditionSetEvaluator interface { - // EvaluateConditions evaluates a condition set into a concrete decision (Allow, Deny, NoOpinion), - // given full information about the request (ConditionData, which includes e.g. the old and new objects). - EvaluateConditions(ctx context.Context, conditionSet *ConditionSet, data ConditionData) (Decision, string, error) + // EvaluateConditions evaluates a condition set into + // a concrete decision (Allow, Deny, NoOpinion), given full information + // about the request (ConditionData, which includes e.g. the old and new objects). + EvaluateConditions(ctx context.Context, conditionSet *ConditionSet, data ConditionData) (Decision, string, error) } ``` -Each conditional authorizer should be able to evaluate any condition set it returned, and thus is the ConditionalAuthorizer interface defined as follows: +Each conditional authorizer should be able to evaluate any condition set it +returned, and thus is the ConditionalAuthorizer interface defined as follows: ```go package authorizer type ConditionalAuthorizer interface { - Authorizer - ConditionSetEvaluator - // FailureMode determines how to treat an error from EvaluateConditions - FailureMode() FailureMode + Authorizer + ConditionSetEvaluator + // FailureMode determines how to treat an error from EvaluateConditions + FailureMode() FailureMode } ``` -In the latter sections, we will walk through a sketch for how to implement the ConditionalAuthorizer interface for the Node and Webhook authorizers and Constrained Impersonation. +In the latter sections, we will walk through a sketch for how to implement the +`ConditionalAuthorizer` interface for the Node and Webhook authorizers and +Constrained Impersonation. -In addition, to facilitate for loose coupling between the authorizer authoring the conditions, and the evaluation process, is there an interface for builtin condition set evaluators, e.g. for evaluating CEL conditions in-process: +In addition, to facilitate for loose coupling between the authorizer authoring +the conditions, and the evaluation process, is there an interface for builtin +condition set evaluators, e.g. for evaluating CEL conditions in-process: ```go package authorizer type BuiltinConditionSetEvaluator interface { - ConditionSetEvaluator - // SupportedConditionTypes defines the condition types that the builtin evaluator can assign truth values to in-process. - SupportedConditionTypes() sets.Set[ConditionType] + ConditionSetEvaluator + // SupportedConditionTypes defines the condition types that the builtin + // evaluator can assign truth values to in-process. + SupportedConditionTypes() sets.Set[ConditionType] } ``` -Finally, recall that the output of the entrypoint for calling “authorize with conditions” was defined as follows: +Finally, recall that the output of the entrypoint for calling “authorize with +conditions” was defined as follows: ```go package authorizer -// Use instead of authorizer.Authorize when the caller wants to use potentially any conditions returned. -// TODO: If SIG Auth wants, this can also be a pointer to a specific struct implementation, so that not "anyone" can implement the interface, if we want to guard it initially. +// Use instead of authorizer.Authorize when the caller wants to use potentially +// any conditions returned. +// TODO: If SIG Auth wants, this can also be a pointer to a specific struct +// implementation, so that not "anyone" can implement the interface, +// if we want to guard it initially. func AuthorizeWithConditionalSupport(ctx context.Context, attrs Attributes, authorizer Authorizer) (Decision, string, ConditionsEnforcer, error) ``` @@ -398,35 +696,54 @@ An Authorizer can only return a conditional response in the following way: ```go func (a *FooAuthorizer) Authorize(ctx context.Context, attrs authorizer.Attributes) (authorizer.Decision, string, error) { - // ...authorization logic that leads to a conditional response - conditionSet := authorizer.NewConditionSet(fooCondition, barCondition) - return authorizer.NewConditionalDecision(ctx, a, conditionSet) + // ...authorization logic that leads to a conditional response + conditionSet := authorizer.NewConditionSet(fooCondition, barCondition) + return authorizer.NewConditionalDecision(ctx, a, conditionSet) } ``` -Why force use of such a helper function? The reason is, that the `AuthorizeWithConditionalSupport` top-level function injects a ConditionsEnforcer into the context, and then `NewConditionalDecision` registers the given ConditionSet into the ConditionsEnforcer from the context. Users cannot access the enforcer directly, but only through these two helper functions, which helps manage and protect the surface area of this. If an authorizer tries to return a conditional decision to a context that was not initialized through AuthorizeWithConditionalSupport (or if the feature gate is disabled), `NewConditionalDecision` fails closed with NoOpinion instead, which means that new Authorizers are backwards-compatible with old Authorize callers at the code level. +Why force use of such a helper function? The reason is, that the +`AuthorizeWithConditionalSupport` top-level function injects a +ConditionsEnforcer into the context, and then `NewConditionalDecision` registers +the given ConditionSet into the ConditionsEnforcer from the context. Users +cannot access the enforcer directly, but only through these two helper +functions, which helps manage and protect the surface area of this. If an +authorizer tries to return a conditional decision to a context that was not +initialized through AuthorizeWithConditionalSupport (or if the feature gate is +disabled), `NewConditionalDecision` fails closed with NoOpinion instead, which +means that new Authorizers are backwards-compatible with old Authorize callers +at the code level. -TODO (luxas): Change this to propose another Authorizer interface instead, with upcasting. +TODO(luxas): Change this to propose another Authorizer interface instead, with upcasting. In any case, the returned ConditionsEnforcer can either be: -1) evaluated, given complete data, into the same decisions that the authorizer chain would have returned immediately, if the authorizers had access to the complete data up front, or -2) serialized, for the purpose of `(Self)SubjectAccessReview`. Each output ConditionSet represents the conditional or unconditional output of one authorizer in the authorizer chain. +1) evaluated, given complete data, into the same decisions that the authorizer +chain would have returned immediately, if the authorizers had access to the +complete data up front, or +2) serialized, for the purpose of `(Self)SubjectAccessReview`. Each output +ConditionSet represents the conditional or unconditional output of one +authorizer in the authorizer chain. ```go package authorizer // ConditionsEnforcer is the conditional output from a chain of authorizers. -// In order to reach a definite/unconditional decision that determines whether to allow the request to go through or not, ConditionData needs to be provided to it. +// In order to reach a definite/unconditional decision that determines whether +// to allow the request to go through or not, ConditionData needs to be provided. type ConditionsEnforcer interface { - // EnforceConditions evaluates the ordered authorization chain against concrete data to reach a final Allow/Deny/NoOpinion decision. - EnforceConditions(ctx context.Context, data ConditionData) (Decision, string, error) - - // OrderedConditionSets walks the authorizer chain until an unconditional authorizer response is got, and outputs all ordered ConditionSets that might/should be satisfied for a user. Used for introspection, e.g. (Self)SubjectAccessReview. - OrderedConditionSets(ctx context.Context) []*ConditionSet - - // WithBuiltinConditionsResolvers allows registering loosely-coupled, generic condition evaluators before enforcement. - WithBuiltinConditionsResolvers(builtinConditionsResolvers ...BuiltinConditionsResolver) ConditionsEnforcer + // EnforceConditions evaluates the ordered authorization chain against + // concrete data to reach a final Allow/Deny/NoOpinion decision. + EnforceConditions(ctx context.Context, data ConditionData) (Decision, string, error) + + // OrderedConditionSets walks the authorizer chain until an unconditional + // authorizer response is got, and outputs all ordered ConditionSets that + // might/should be satisfied for a user. Used for introspection, e.g. (Self)SubjectAccessReview. + OrderedConditionSets(ctx context.Context) []*ConditionSet + + // WithBuiltinConditionsResolvers allows registering loosely-coupled, + // generic condition evaluators before enforcement. + WithBuiltinConditionsResolvers(builtinConditionsResolvers ...BuiltinConditionsResolver) ConditionsEnforcer } ``` @@ -437,274 +754,388 @@ In pseudo-code, the WithAuthorization HTTP filter functions as follows: decision, reason, conditionsEnforcer, err := authorizer.AuthorizeWithConditionalSupport(ctx, attributes, a) if decision == authorizer.DecisionConditionalAllow { - // Store the ConditionsEnforcer in the request context, so that the -// AuthorizationConditionsEnforcer admission controller has access to -// the conditions later for enforcement. - ctx = request.WithConditionalAuthorizationContext(ctx, conditionsEnforcer) - req = req.WithContext(ctx) + // Store the ConditionsEnforcer in the request context, so that the + // AuthorizationConditionsEnforcer admission controller has access to + // the conditions later for enforcement. + ctx = request.WithConditionalAuthorizationContext(ctx, conditionsEnforcer) + req = req.WithContext(ctx) } if decision == authorizer.DecisionAllow || decision == authorizer.DecisionConditionalAllow { - handler.ServeHTTP(w, req) - return + handler.ServeHTTP(w, req) + return } responsewriters.Forbidden(ctx, attributes, w, req, reason, s) return ``` -The pseudo-code of the `AuthorizationConditionsEnforcer` admission controller is as follows: +The pseudo-code of the `AuthorizationConditionsEnforcer` admission controller is +as follows: ```go func (c *ConditionalAuthorizationEnforcer) Handles(operation admission.Operation) bool { - return c.featureEnabled + return c.featureEnabled } // ConditionalAuthorizationEnforcer is a Validating Admission Controller func (c *ConditionalAuthorizationEnforcer) Validate(ctx context.Context, a admission.Attributes, o admission.ObjectInterfaces) error { - // Acquire - enforcer, ok := request.ConditionalAuthorizationContextFrom(ctx) - if !ok { - return nil // Unconstrained request, allow to go throughi - } - - // Build the conditions data from the admission attributes - conditionsData := conditionsDataFrom(a) - - // Use the returned enforcer to evaluate the authorization chain - // with all available data. Use the builtin CEL evaluator if possible. - decision, reason, err := enforcer. WithBuiltinConditionsResolvers(c.builtinConditionsResolvers...). - EnforceConditions(ctx, conditionsData) - - // Conditions evaluated to Allow, let the request proceed -if decision == authorizer.DecisionAllow { - return nil - } - // Return 403 if conditional authorization chain came to a negative conclusion - return apierrors.NewForbidden(groupResource, name, responsewriters.ForbiddenStatusError(attrs, reason)) + // Acquire the attached enforcer from the context + enforcer, ok := request.ConditionalAuthorizationContextFrom(ctx) + if !ok { + return nil // Unconstrained request, allow to go throughi + } + + // Build the conditions data from the admission attributes + conditionsData := conditionsDataFrom(a) + + // Use the returned enforcer to evaluate the authorization chain + // with all available data. Use the builtin CEL evaluator if possible. + decision, reason, err := enforcer. + WithBuiltinConditionsResolvers(c.builtinConditionsResolvers...). + EnforceConditions(ctx, conditionsData) + + // Conditions evaluated to Allow, let the request proceed + if decision == authorizer.DecisionAllow { + return nil + } + // Return 403 if conditional authorization chain came to a negative conclusion + return apierrors.NewForbidden(groupResource, name, responsewriters.ForbiddenStatusError(attrs, reason)) ``` In a later section, a concrete visualization of the request flow is shown. ### Computing a concrete decision from a ConditionSet -How should a ConditionsEvaluator evaluate the conditions in the given set? The process is two-fold: +How should a ConditionsEvaluator evaluate the conditions in the given set? The +process is two-fold: 1. Evaluate each condition function to a boolean value, or error -2. Compute the individual truth values of the conditions, along with their desired effect into an aggregate, unconditional decision (Allow/Deny/NoOpinion) at the authorizer level, according to the following logic: +2. Compute the individual truth values of the conditions, along with their + desired effect into an aggregate, unconditional decision + (Allow/Deny/NoOpinion) at the authorizer level, according to the following + logic: -If there is at least one condition with `effect=Deny` that evaluates to true, return `Deny`. +If there is at least one condition with `effect=Deny` that evaluates to true, +return `Deny`. -If there is at least one condition with `effect=Deny` that evaluates to an error, return an error. The FailureMode of the ConditionalAuthorizer controls whether to treat the error as decision `Deny` or `NoOpinion`. +If there is at least one condition with `effect=Deny` that evaluates to an +error, return an error. The FailureMode of the ConditionalAuthorizer controls +whether to treat the error as decision `Deny` or `NoOpinion`. -Otherwise, it is known that any `effect=Deny` condition evaluates to false. Then, if there is at least one condition with `effect=NoOpinion` that evaluates to true, return `NoOpinion`. +Otherwise, it is known that any `effect=Deny` condition evaluates to false. +Then, if there is at least one condition with `effect=NoOpinion` that evaluates +to true, return `NoOpinion`. -If there is at least one condition with `effect=NoOpinion` that evaluates to an error, return `NoOpinion` to fail closed (as if the condition evaluated to true) along with the error for logging/diagnostics. +If there is at least one condition with `effect=NoOpinion` that evaluates to an +error, return `NoOpinion` to fail closed (as if the condition evaluated to true) +along with the error for logging/diagnostics. -Otherwise, it is known that any `effect=NoOpinion` condition evaluates to false. Then, if there is at least one condition with `effect=Allow` that evaluates to true, return `Allow`. +Otherwise, it is known that any `effect=NoOpinion` condition evaluates to false. +Then, if there is at least one condition with `effect=Allow` that evaluates to +true, return `Allow`. -Any `effect=Allow` condition that evaluates to an error is ignored. If no `effect=Allow` condition evaluates to true, return `NoOpinion`. +Any `effect=Allow` condition that evaluates to an error is ignored. If no +`effect=Allow` condition evaluates to true, return `NoOpinion`. ### Computing a concrete decision from a conditional authorization chain -It is now known how to evaluate a single ConditionSet together with the ConditionsData into a single, aggregate Allow/Deny/NoOpinion decision, the same decision that the authorizer would have immediately returned, if it had direct access to the ConditionsData. Next, we discuss the semantics of multiple authorizers chained after each other (i.e. the [union](https://pkg.go.dev/k8s.io/apiserver/pkg/authorization/union) authorizer), in the light of conditional authorization. - -To begin with, it is good to state that the semantics of the existing modes Allow, Deny and NoOpinion do not change. Whenever a NoOpinion is returned by an authorizer, it is ignored by the union authorizer, just like it had not been in the chain in the first place. Notably, both before and after this proposal, an authorizer returning NoOpinion is ignored even though it returns an error. Thus must any safety-critical errors be turned into Deny decisions if failing closed is needed. - -Likewise, a chain with the prefix “NoOpinion, …, NoOpinion, Allow” still short-circuits and returns an unconditional Allow, without any conditional authorization. Vice versa for a chain with the prefix “NoOpinion, …, NoOpinion, Deny” \=\> Deny. - -Now, in the introduction it was mentioned that with this proposal, two new [authorizer.Decision](https://pkg.go.dev/k8s.io/apiserver/pkg/authorization/authorizer#Decision) types are added, namely `ConditionalAllow` or `ConditionalDeny`. - -A ConditionSet with at least one Allow effect condition induces the decision `ConditionalAllow`, no matter how many other Deny or NoOpinion effect conditions there are in the same set. `ConditionalAllow` thus means “a ConditionSet with a possibility to evaluate to Allow, given the missing data”. This matters, as it was concluded in the beginning that the API server should only spend resources decoding the request body etc. on requests that have a *chance of becoming authorized*. It is worth pointing out that a ConditionalAllow ConditionSet can end up evaluating to any of the Allow/Deny/NoOpinion decisions, as per the logic in the previous section. - -In contrast, `ConditionalDeny` is returned for all other ConditionSets, namely those where there are no conditions with the Allow effect, only conditions with effect NoOpinion or Deny. A ConditionalDeny ConditionSet can end up evaluating to either Deny or NoOpinion, as per the logic in the previous section. - -Such an authorizer might be useful in the very beginning of the chain, to make sure e.g. that “it is never possible for non-admins to enable DRA adminAccess in request payloads”. This KEP is thus a generalization of the DRA AdminAccess KEP, through authorization, which might or might not be user-editable (in contrast to ValidatingAdmissionPolicies which can be dynamically removed by users). - -However, what happens to the union authorizer semantics when and after a `ConditionalAllow` or `ConditionalDeny` response is seen? +It is now known how to evaluate a single ConditionSet together with the +`ConditionsData` into a single, aggregate Allow/Deny/NoOpinion decision, the +same decision that the authorizer would have immediately returned, if it had +direct access to the `ConditionsData`. Next, we discuss the semantics of +multiple authorizers chained after each other (i.e. the +[union](https://pkg.go.dev/k8s.io/apiserver/pkg/authorization/union) +authorizer), in the light of conditional authorization. + +To begin with, it is good to state that the semantics of the existing modes +Allow, Deny and NoOpinion do not change. Whenever a NoOpinion is returned by an +authorizer, it is ignored by the union authorizer, just like it had not been in +the chain in the first place. Notably, both before and after this proposal, an +authorizer returning NoOpinion is ignored even though it returns an error. Thus +must any safety-critical errors be turned into Deny decisions if failing closed +is needed. + +Likewise, a chain with the prefix `NoOpinion, …, NoOpinion, Allow` still +short-circuits and returns an unconditional Allow, without any conditional +authorization. Vice versa for a chain with the prefix +`NoOpinion, …, NoOpinion, Deny` \=\> Deny. + +Now, in the introduction it was mentioned that with this proposal, two new +[authorizer.Decision](https://pkg.go.dev/k8s.io/apiserver/pkg/authorization/authorizer#Decision) +types are added, namely `ConditionalAllow` or `ConditionalDeny`. + +A ConditionSet with at least one Allow effect condition induces the decision +`ConditionalAllow`, no matter how many other Deny or NoOpinion effect conditions +there are in the same set. `ConditionalAllow` thus means “a ConditionSet with a +possibility to evaluate to Allow, given the missing data”. This matters, as it +was concluded in the beginning that the API server should only spend resources +decoding the request body etc. on requests that have a *chance of becoming +authorized*. It is worth pointing out that a ConditionalAllow ConditionSet can +end up evaluating to any of the Allow/Deny/NoOpinion decisions, as per the logic +in the previous section. + +In contrast, `ConditionalDeny` is returned for all other ConditionSets, namely +those where there are no conditions with the Allow effect, only conditions with +effect NoOpinion or Deny. A ConditionalDeny ConditionSet can end up evaluating +to either Deny or NoOpinion, as per the logic in the previous section. + +Such an authorizer might be useful in the very beginning of the chain, to make +sure e.g. that “it is never possible for non-admins to enable DRA adminAccess in +request payloads”. This KEP is thus a generalization of the DRA AdminAccess KEP, +through authorization, which might or might not be user-editable (in contrast to +ValidatingAdmissionPolicies which can be dynamically removed by users). + +However, what happens to the union authorizer semantics when and after a +`ConditionalAllow` or `ConditionalDeny` response is seen? There are two main options: -1. **Lazy Evaluation**: When seeing a `ConditionalAllow`\-equivalent response, short circuit the union authorization process BUT add any authorizers later in the chain to the ConditionsEnforcer for later consideration, if this first `ConditionalAllow` ended up producing a `NoOpinion` response when evaluated. The whole chain is thus eventually considered if (and only if) needed. This mode is shown in the picture below. -2. **Eager Evaluation**: The authorization chain is walked until some unconditional decision is reached, or the end of the chain is reached. All ordered ConditionSets are passed with the request and evaluated in order by the admission controller. If some of the earliest ConditionSets in the chain end up being `Allow` or `Deny`, later authorizers’ ConditionSets are ignored and thus computed in vain. +1. **Lazy Evaluation**: When seeing a `ConditionalAllow`\-equivalent response, + short circuit the union authorization process BUT add any authorizers later + in the chain to the ConditionsEnforcer for later consideration, if this first + `ConditionalAllow` ended up producing a `NoOpinion` response when evaluated. + The whole chain is thus eventually considered if (and only if) needed. This + mode is shown in the picture below. +2. **Eager Evaluation**: The authorization chain is walked until some + unconditional decision is reached, or the end of the chain is reached. All + ordered ConditionSets are passed with the request and evaluated in order by + the admission controller. If some of the earliest ConditionSets in the chain + end up being `Allow` or `Deny`, later authorizers’ ConditionSets are ignored + and thus computed in vain. ![How conditions are propagated in the API server request chain](images/request-conditions-flow.png) -A high-level picture of the request flow with conditional authorization. The chain of authorizer decisions can be lazily evaluated, such that the third authorizer in the picture is not evaluated directly in the authorization stage, as already the second one might yield an Allow. However, in admission, if the second authorizer ends up evaluating to NoOpinion, the third authorizer is evaluated (and in this example evaluates first ConditionalAllow, then Allow). - -Initially, before the SIG Auth Deep Dive (Sept 4, 2025\) on this topic, the idea was to go with option 2, eager evaluation. However, in the meeting, it seemed like the consensus was that there is concern about the eager method being too inefficient. Therefore, the current proposal is to utilize option 1, lazy evaluation, as shown in the picture. This has been implemented in the [proof of concept](https://github.com/kubernetes/kubernetes/compare/master...luxas:kubernetes:conditional_authz_4?expand=1). - -The following diagram shows the various outcomes of when ConditionSet evaluation is performed in a chain (regardless of which of the two options above are chosen). In this picture, NoOpinion results are mostly omitted to yield a clearer picture. The key takeaways are: - -1. If there is not at least one Concrete or Conditional Allow in the chain, the request cannot become allowed, and is thus rejected early (in the WithAuthorization filter) -2. Whenever a ConditionalAllow is encountered, that ConditionSet will be evaluated in the admission controller, and only if that ConditionSet’s decision ends up being NoOpinion, later authorizers are consulted (which can yield any response) -3. A ConditionalDeny before a Concrete Allow yields a Conditional Allow: the request is only allowed if the ConditionalDeny ConditionSet ends up *not* denying the request with higher priority than the later Concrete Allow authorizer. - -Note: As we fold ConditionalDeny \+ Deny into Deny directly, the audit log just tells that one of the authorizers (in this case, the latter) denied it, not necessarily the first one. +A high-level picture of the request flow with conditional authorization. The +chain of authorizer decisions can be lazily evaluated, such that the third +authorizer in the picture is not evaluated directly in the authorization stage, +as already the second one might yield an Allow. However, in admission, if the +second authorizer ends up evaluating to NoOpinion, the third authorizer is +evaluated (and in this example evaluates first ConditionalAllow, then Allow). + +Initially, before the SIG Auth Deep Dive (Sept 4, 2025) on this topic, the idea +was to go with option 2, eager evaluation. However, in the meeting, it seemed +like the consensus was that there is concern about the eager method being too +inefficient. Therefore, the current proposal is to utilize option 1, lazy +evaluation, as shown in the picture. This has been implemented in the +[proof of concept](https://github.com/kubernetes/kubernetes/compare/master...luxas:kubernetes:conditional_authz_4?expand=1). + +The following diagram shows the various outcomes of when ConditionSet evaluation +is performed in a chain (regardless of which of the two options above are +chosen). In this picture, NoOpinion results are mostly omitted to yield a +clearer picture. The key takeaways are: + +1. If there is not at least one Concrete or Conditional Allow in the chain, the + request cannot become allowed, and is thus rejected early (in the + `WithAuthorization` filter) +2. Whenever a ConditionalAllow is encountered, that ConditionSet will be + evaluated in the admission controller, and only if that ConditionSet’s + decision ends up being NoOpinion, later authorizers are consulted (which can + yield any response) +3. A ConditionalDeny before a Concrete Allow yields a Conditional Allow: the + request is only allowed if the ConditionalDeny ConditionSet ends up *not* + denying the request with higher priority than the later Concrete Allow + authorizer. + +Note: As we fold `ConditionalDeny + Deny` into Deny directly, the audit log just +tells that one of the authorizers (in this case, the latter) denied it, not +necessarily the first one. ![How various authorizer chain decisions are computed into one](images/authorizer-chain-computation.png) ### Changes to (Self)SubjectAccessReview -One of the core goals of this KEP is to make it easier also for users subject to authorization policies that span authorization and admission understand what policies they are subject to. This in practice means that the conditions should be shown in (Self)SubjectAccessReview (SAR) responses, as is logical when the authorizer response area grows. However, there are some details to pay attention to: - -- The same request might be subject to multiple conditional authorizers in the authorizer chain. Consider a chain of two authorizers both returning ConditionalAllow. The first authorizer’s returned ConditionSet will have precedence over the second, and thus cannot be merged into one. Instead, the SubjectAccessReview response must retain the ordering of the two ConditionSets, so the user can reason about them. -- Consider a two-authorizer chain, where the first returns ConditionalDeny, and the second (unconditional/concrete) Allow (or Deny) for that matter. Thus, SAR structure should expose whether a later authorizer indeed produced a concrete response. - -The SubjectAccessReviewStatus API is thus augmented with the following field and types: +One of the core goals of this KEP is to make it easier also for users subject to +authorization policies that span authorization and admission understand what +policies they are subject to. This in practice means that the conditions should +be shown in (Self)SubjectAccessReview (SAR) responses, as is logical when the +authorizer response area grows. However, there are some details to pay attention +to: + +- The same request might be subject to multiple conditional authorizers in the + authorizer chain. Consider a chain of two authorizers both returning + ConditionalAllow. The first authorizer’s returned ConditionSet will have + precedence over the second, and thus cannot be merged into one. Instead, the + SubjectAccessReview response must retain the ordering of the two + ConditionSets, so the user can reason about them. +- Consider a two-authorizer chain, where the first returns ConditionalDeny, and + the second (unconditional/concrete) Allow (or Deny) for that matter. Thus, SAR + structure should expose whether a later authorizer indeed produced a concrete + response. + +The SubjectAccessReviewStatus API is thus augmented with the following field and +types: ```go type SubjectAccessReviewStatus struct { - // ... Allowed, Denied, Reason and EvaluationError here as normal - - // ConditionsChain is an ordered list of condition sets, where every item of the list represents one authorizer's ConditionSet response. - // When evaluating the conditions, the first condition set must be evaluated as a whole first, and only if that condition set - // evaluates to NoOpinion, can the subsequent condition sets be evaluated. - // - // When ConditionsChain is non-null, Allowed and Denied must be false. - // - // +optional - // +listType=atomic - ConditionsChain []SubjectAccessReviewConditionSet `json:"conditionsChain,omitempty" protobuf:"bytes,5,rep,name=conditionsChain"` + // ... Allowed, Denied, Reason and EvaluationError here as normal + + // ConditionsChain is an ordered list of condition sets, where every item of the list represents one authorizer's ConditionSet response. + // When evaluating the conditions, the first condition set must be evaluated as a whole first, and only if that condition set + // evaluates to NoOpinion, can the subsequent condition sets be evaluated. + // + // When ConditionsChain is non-null, Allowed and Denied must be false. + // + // +optional + // +listType=atomic + ConditionsChain []SubjectAccessReviewConditionSet `json:"conditionsChain,omitempty"` } type SubjectAccessReviewConditionSet struct { - // Allowed specifies whether this condition set is unconditionally allowed. - // Mutually exclusive with Denied and Conditions. - Allowed bool `json:"allowed,omitempty" protobuf:"varint,1,opt,name=allowed"` - // Denied specifies whether this condition set is unconditionally denied. - // Mutually exclusive with Allowed and Conditions. - Denied bool `json:"denied,omitempty" protobuf:"varint,2,opt,name=denied"` - - // FailureMode specifies the failure mode for this condition set. - // Only relevant if the conditions are non-null. - FailureMode string `json:"failureMode,omitempty" protobuf:"bytes,3,opt,name=failureMode"` - - // Conditions is an unordered set of conditions that should be evaluated against admission attributes, to determine - // whether this authorizer allows the request. - // - // +listType=map - // +listMapKey=id - // +optional - Conditions []SubjectAccessReviewCondition `json:"conditions,omitempty" protobuf:"bytes,4,rep,name=conditions"` + // Allowed specifies whether this condition set is unconditionally allowed. + // Mutually exclusive with Denied and Conditions. + Allowed bool `json:"allowed,omitempty"` + // Denied specifies whether this condition set is unconditionally denied. + // Mutually exclusive with Allowed and Conditions. + Denied bool `json:"denied,omitempty"` + + // FailureMode specifies the failure mode for this condition set. + // Only relevant if the conditions are non-null. + FailureMode string `json:"failureMode,omitempty"` + + // Conditions is an unordered set of conditions that should be evaluated + // against admission attributes, to determine + // whether this authorizer allows the request. + // + // +listType=map + // +listMapKey=id + // +optional + Conditions []SubjectAccessReviewCondition `json:"conditions,omitempty"` } type SubjectAccessReviewCondition struct { - ID string `json:"id" protobuf:"bytes,1,opt,name=id"` - Effect SubjectAccessReviewConditionEffect `json:"effect" protobuf:"bytes,2,opt,name=effect"` - Type string `json:"type" protobuf:"bytes,3,opt,name=type"` - Condition string `json:"condition" protobuf:"bytes,4,opt,name=condition"` - Description string `json:"description,omitempty" protobuf:"bytes,5,opt,name=description"` + ID string `json:"id"` + Effect SubjectAccessReviewConditionEffect `json:"effect"` + Type string `json:"type"` + Condition string `json:"condition"` + Description string `json:"description,omitempty"` } type SubjectAccessReviewConditionEffect string const ( - SubjectAccessReviewConditionEffectAllow SubjectAccessReviewConditionEffect = "Allow" - SubjectAccessReviewConditionEffectDeny SubjectAccessReviewConditionEffect = "Deny" - SubjectAccessReviewConditionEffectNoOpinion SubjectAccessReviewConditionEffect = "NoOpinion" + SubjectAccessReviewConditionEffectAllow SubjectAccessReviewConditionEffect = "Allow" + SubjectAccessReviewConditionEffectDeny SubjectAccessReviewConditionEffect = "Deny" + SubjectAccessReviewConditionEffectNoOpinion SubjectAccessReviewConditionEffect = "NoOpinion" ) ``` -`Status.ConditionsChain` is mutually exclusive with `Status.Allowed` and `Status.Denied`. A conditional response is characterized by `Status.ConditionsChain` \!= null. Old implementers that do not recognize `Status.ConditionsChain` will just safely assume it was a `NoOpinion`. +`Status.ConditionsChain` is mutually exclusive with `Status.Allowed` and +`Status.Denied`. A conditional response is characterized by +`Status.ConditionsChain != null`. Old implementers that do not recognize +`Status.ConditionsChain` will just safely assume it was a `NoOpinion`. ### Changes to the Webhook Authorizer -Thanks to the `SubjectAccessReviewStatus` API change, the webhook authorizer supports conditional responses in a straightforward manner. The webhook checks if the feature is enabled, `Status.ConditionsChain` is set, there is only one ConditionSet returned (there is a 1:1 mapping between an authorizer and a ConditionSet), that conditional authorization is configured (as below), as per the following code snippet: +Thanks to the `SubjectAccessReviewStatus` API change, the webhook authorizer +supports conditional responses in a straightforward manner. The webhook checks +if the feature is enabled, `Status.ConditionsChain` is set, there is only one +ConditionSet returned (there is a 1:1 mapping between an authorizer and a +ConditionSet), that conditional authorization is configured (as below), as per +the following code snippet: ```go gotConditionalResponse := len(r.Status.ConditionsChain) != 0 && utilfeature.DefaultFeatureGate.Enabled(genericfeatures.ConditionalAuthorization) switch { case r.Status.Denied && r.Status.Allowed: - return authorizer.DecisionDeny, r.Status.Reason, fmt.Errorf("webhook subject access review returned both allow and deny response") + return authorizer.DecisionDeny, r.Status.Reason, fmt.Errorf("webhook subject access review returned both allow and deny response") case r.Status.Denied && gotConditionalResponse: - return authorizer.DecisionDeny, r.Status.Reason, fmt.Errorf("webhook subject access review returned both deny and conditional response") + return authorizer.DecisionDeny, r.Status.Reason, fmt.Errorf("webhook subject access review returned both deny and conditional response") case r.Status.Allowed && gotConditionalResponse: - return w.decisionOnError, r.Status.Reason, fmt.Errorf("webhook subject access review returned both allow and conditional response") + return w.decisionOnError, r.Status.Reason, fmt.Errorf("webhook subject access review returned both allow and conditional response") case r.Status.Denied: - return authorizer.DecisionDeny, r.Status.Reason, nil + return authorizer.DecisionDeny, r.Status.Reason, nil case r.Status.Allowed: - return authorizer.DecisionAllow, r.Status.Reason, nil + return authorizer.DecisionAllow, r.Status.Reason, nil case gotConditionalResponse: - if !w.supportsConditionalResponse { -return w.decisionOnError, "", fmt.Errorf("webhook authorizer does not support conditional responses") -} - - if len(r.Status.ConditionsChain) > 1 { - return authorizer.DecisionNoOpinion, "", fmt.Errorf("webhook authorizer does not support multiple conditions chains") - } - conditionSet, err := toAuthorizerConditions(r.Status.ConditionsChain[0]) - if err != nil { - return authorizer.DecisionNoOpinion, "", err - } - return authorizer.NewConditionalDecision(ctx, w, conditionSet) + if !w.supportsConditionalResponse { + return w.decisionOnError, "", fmt.Errorf("webhook authorizer does not support conditional responses") + } + + if len(r.Status.ConditionsChain) > 1 { + return authorizer.DecisionNoOpinion, "", fmt.Errorf("webhook authorizer does not support multiple conditions chains") + } + conditionSet, err := toAuthorizerConditions(r.Status.ConditionsChain[0]) + if err != nil { + return authorizer.DecisionNoOpinion, "", err + } + return authorizer.NewConditionalDecision(ctx, w, conditionSet) default: - return authorizer.DecisionNoOpinion, r.Status.Reason, nil + return authorizer.DecisionNoOpinion, r.Status.Reason, nil } ``` -The more interesting aspect is, how should the webhook authorizer evaluate the conditions? In order to do this, two changes are proposed. We propose a new `AuthorizationConditionsReview` API, slightly similar to `AdmissionReview`, but for this use-case as the interface between the conditional authorizer and Kubernetes: +The more interesting aspect is, how should the webhook authorizer evaluate the +conditions? In order to do this, two changes are proposed. We propose a new +`AuthorizationConditionsReview` API, slightly similar to `AdmissionReview`, but +for this use-case as the interface between the conditional authorizer and +Kubernetes: ```go // AuthorizationConditionsReview describes a request to evaluate authorization conditions. type AuthorizationConditionsReview struct { - metav1.TypeMeta `json:",inline"` - // Request describes the attributes for the authorization conditions request. - // +optional - Request *AuthorizationConditionsRequest `json:"request,omitempty" protobuf:"bytes,1,opt,name=request"` - // Response describes the attributes for the authorization conditions response. - // +optional - Response *AuthorizationConditionsResponse `json:"response,omitempty" protobuf:"bytes,2,opt,name=response"` + metav1.TypeMeta `json:",inline"` + // Request describes the attributes for the authorization conditions request. + // +optional + Request *AuthorizationConditionsRequest `json:"request,omitempty"` + // Response describes the attributes for the authorization conditions response. + // +optional + Response *AuthorizationConditionsResponse `json:"response,omitempty"` } // AuthorizationConditionsRequest describes the authorization conditions request. type AuthorizationConditionsRequest struct { - // Operation is the operation being performed. This may be different than the operation - // requested. e.g. a patch can result in either a CREATE or UPDATE Operation. - Operation admissionv1.Operation `json:"operation" protobuf:"bytes,7,opt,name=operation"` - // Object is the object from the incoming request. - // +optional - Object runtime.RawExtension `json:"object,omitempty" protobuf:"bytes,10,opt,name=object"` - // OldObject is the existing object. Only populated for DELETE and UPDATE requests. - // +optional - OldObject runtime.RawExtension `json:"oldObject,omitempty" protobuf:"bytes,11,opt,name=oldObject"` - // Options is the operation option structure of the operation being performed. - // e.g. `meta.k8s.io/v1.DeleteOptions` or `meta.k8s.io/v1.CreateOptions`. This may be - // different than the options the caller provided. e.g. for a patch request the performed - // Operation might be a CREATE, in which case the Options will a - // `meta.k8s.io/v1.CreateOptions` even though the caller provided `meta.k8s.io/v1.PatchOptions`. - // +optional - Options runtime.RawExtension `json:"options,omitempty" protobuf:"bytes,13,opt,name=options"` - - // ConditionSet is the condition set that the authorizer returned for -// the request in the authorization phase. - ConditionSet authorizationv1.SubjectAccessReviewConditionSet `json:"conditionSet,omitempty" protobuf:"bytes,17,opt,name=conditionSet"` + // Operation is the operation being performed. This may be different than the + // operation requested. e.g. a patch can result in either a CREATE or UPDATE. + Operation admissionv1.Operation `json:"operation"` + // Object is the object from the incoming request. + // +optional + Object runtime.RawExtension `json:"object,omitempty"` + // OldObject is the existing object. Only populated for DELETE and UPDATE requests. + // +optional + OldObject runtime.RawExtension `json:"oldObject,omitempty"` + // Options is the operation option structure of the operation being performed. + // e.g. `meta.k8s.io/v1.DeleteOptions` or `meta.k8s.io/v1.CreateOptions`. + // This may be different than the options the caller provided, + // e.g. for a patch request the performed Operation might be a CREATE, + // in which case the Options will a `meta.k8s.io/v1.CreateOptions` even + // though the caller provided `meta.k8s.io/v1.PatchOptions`. + // +optional + Options runtime.RawExtension `json:"options,omitempty"` + + // ConditionSet is the condition set that the authorizer returned for + // the request in the authorization phase. + ConditionSet authorizationv1.SubjectAccessReviewConditionSet `json:"conditionSet,omitempty"` } // AuthorizationConditionsResponse describes an authorization conditions response. type AuthorizationConditionsResponse struct { - // Allowed indicates whether or not the request is authorized according to the authorization conditions. - // Mutually exclusive with Denied. - // Allowed=false and Denied=false means that the authorizer has no NoOpinion on the request. - Allowed bool `json:"allowed" protobuf:"varint,2,opt,name=allowed"` - - // Denied indicates whether or not the request is denied according to the authorization conditions. - // Mutually exclusive with Allowed. - // Allowed=false and Denied=false means that the authorizer has no NoOpinion on the request. - Denied bool `json:"denied,omitempty" protobuf:"varint,3,opt,name=denied"` - - // Result contains extra details into why an authorization conditions request was denied. - // This field IS NOT consulted in any way if "Allowed" is "true". - // TODO: Might want to use the more authorizer-native Reason and EvaluationError fields - // +optional - Result *metav1.Status `json:"status,omitempty" protobuf:"bytes,4,opt,name=status"` - - // TODO: Add AuditAnnotations and Warnings as in AdmissionReview? + // Allowed indicates whether or not the request is authorized according to + // the authorization conditions. + // Mutually exclusive with Denied. + // Allowed=false and Denied=false means that the authorizer has no NoOpinion on the request. + Allowed bool `json:"allowed" protobuf:"varint,2,opt,name=allowed"` + + // Denied indicates whether or not the request is denied according to the authorization conditions. + // Mutually exclusive with Allowed. + // Allowed=false and Denied=false means that the authorizer has no NoOpinion on the request. + Denied bool `json:"denied,omitempty" protobuf:"varint,3,opt,name=denied"` + + // Result contains extra details into why an authorization conditions request was denied. + // This field IS NOT consulted in any way if "Allowed" is "true". + // TODO: Might want to use the more authorizer-native Reason and EvaluationError fields + // +optional + Result *metav1.Status `json:"status,omitempty" protobuf:"bytes,4,opt,name=status"` + + // TODO: Add AuditAnnotations and Warnings as in AdmissionReview? } ``` -This means that the authorizer can implement an endpoint which resolves its (potentially opaque to Kubernetes) conditions the way it wants. Where the `AuthorizationConditionsReview` is, is defined in a new field on `AuthorizationConfiguration`: +This means that the authorizer can implement an endpoint which resolves its +(potentially opaque to Kubernetes) conditions the way it wants. Where the +`AuthorizationConditionsReview` is, is defined in a new field on +`AuthorizationConfiguration`: ```yaml apiVersion: apiserver.config.k8s.io/v1 @@ -726,7 +1157,13 @@ authorizers: kubeConfigFile: /kube-system-authz-webhook.yaml ``` -Finally, recall that the webhook authorizer by default caches requests. If any authorizer utilizes caching, the conditions must be cached as well, such that there is no difference between cached and uncached authorization responses. Also, recall that if Kubernetes supports evaluating the conditions in-process with a builtin ConditionsEvaluator, e.g. the CEL one, a `AuthorizationConditionsReview` webhook is not needed, as per the following table: +Finally, recall that the webhook authorizer by default caches requests. If any +authorizer utilizes caching, the conditions must be cached as well, such that +there is no difference between cached and uncached authorization responses. +Also, recall that if Kubernetes supports evaluating the conditions in-process +with a builtin ConditionsEvaluator, e.g. the CEL one, a +`AuthorizationConditionsReview` webhook is not needed, as per the following +table: | Webhooks during phase: | Authorization response not cached | Authorization response cached | | :---- | :---- | :---- | @@ -735,19 +1172,41 @@ Finally, recall that the webhook authorizer by default caches requests. If any a ### Node authorizer -The Node authorizer was the first conditional authorizer in that it had both an authorization and admission part that always were designed and evolved in tandem. This proposal generalizes this; now the Node authorizer could return conditional responses with type e.g. `k8s.io/node-authorizer` and either transparent conditions written in CEL, if possible, or opaque ones, e.g. `condition: ‘{“condition”: “require-pod-node-name”, “nodeName”: “foo”}’`. In the opaque condition case, the Node authorizer will get a callback on its then-added `EvaluateConditions()` function to, even in native code, enforce e.g. a Pod’s spec.nodeName actually matches what it should be. If this were the case, all logic is centralized in the authorizer, instead of being split between two components, and SubjectAccessReview shows what policies apply. +The Node authorizer was the first conditional authorizer in that it had both an +authorization and admission part that always were designed and evolved in +tandem. This proposal generalizes this; now the Node authorizer could return +conditional responses with type e.g. `k8s.io/node-authorizer` and either +transparent conditions written in CEL, if possible, or opaque ones, e.g. +`condition: ‘{“condition”: “require-pod-node-name”, “nodeName”: “foo”}’`. + +In the opaque condition case, the Node authorizer will get a callback on its +then-added `EvaluateConditions()` function to, even in native code, enforce e.g. +a Pod’s spec.nodeName actually matches what it should be. If this were the case, +all logic is centralized in the authorizer, instead of being split between two +components, and SubjectAccessReview shows what policies apply. ### Feature availability and version skew Conditional authorization is available when all of the following criteria are met: -- The authorizer implementation supports conditions, which can be done in two ways: - - In-tree authorizer: through implementing the `authorizer.ConditionsEvaluator` interface, and - - Webhook authorizer: when needed, responds with a non-null `.status.conditionsChain` array, along with `.status.allowed=false` and `.status.denied=false`. -- The `ConditionalAuthorization` feature gate is enabled AND the `AuthorizationConditionsEnforcer` admission plugin is enabled - - The `AuthorizationConditionsEnforcer` plugin could be enabled by default, as it returns Handles=false for every request, if the feature gate is not also enabled. - - However, to avoid the problematic configuration of a server being set up with the feature gate enabled, but not the admission plugin, the proposal is that AdmissionOptions.Validate will error, such that the API server can never start up in such a misconfigured state. -- The SubjectAccessReview's `apiGroup`, `resource` and `apiVersion` selects exactly one GVR, which is served by the current API server, and the verb is one of `create`, `update`, `patch`, `delete`. +- The authorizer implementation supports conditions, which can be done in two ways: + - In-tree authorizer: through implementing the + `authorizer.ConditionsEvaluator` interface, and + - Webhook authorizer: when needed, responds with a non-null + `.status.conditionsChain` array, along with `.status.allowed=false` and + `.status.denied=false`. +- The `ConditionalAuthorization` feature gate is enabled AND the + `AuthorizationConditionsEnforcer` admission plugin is enabled + - The `AuthorizationConditionsEnforcer` plugin could be enabled by default, as + it returns `Handles=false` for every request, if the feature gate is not + also enabled. + - However, to avoid the problematic configuration of a server being set up + with the feature gate enabled, but not the admission plugin, the proposal is + that AdmissionOptions.Validate will error, such that the API server can + never start up in such a misconfigured state. +- The SubjectAccessReview's `apiGroup`, `resource` and `apiVersion` selects + exactly one GVR, which is served by the current API server, and the verb is + one of `create`, `update`, `patch`, `delete`. | Version skew matrix | Old API server | New API server | | :---- | :---- | :---- | @@ -756,30 +1215,66 @@ Conditional authorization is available when all of the following criteria are me ### Compound Authorization for Connectible Resources -After the move to WebSockets ([KEP 4006](https://github.com/kubernetes/enhancements/tree/master/keps/sig-api-machinery/4006-transition-spdy-to-websockets#proposal-synthetic-rbac-create-authorization-check)), connect requests are initially authorized as e.g. “get pods/exec”, which can lead someone thinking that giving “get \*” gives only read-only access, and not also write access. To mitigate this privilege-escalation vector, when the `AuthorizePodWebsocketUpgradeCreatePermission` feature gate is enabled (beta and on by default in 1.35), currently `pods/attach`, `pods/exec` and `pods/portforward` are subject to compound authorization, where effectively it is made sure that the requestor also is authorized to “create” the corresponding connectible resource. However, this check is not added (yet at least) for `pods/proxy`, `services/proxy` and `nodes/proxy`. - -In relation to these two workstreams, it is proposed that we uniformly and generally require the requestor to have the create verb using compound authorization in the `ConnectResource` handler, whenever the feature gate (or a new one) is enabled. This compound check would support conditional authorization as well, with operation \= CONNECT, object \= null, oldobject \= null but options \!= null. Such a check thus becomes a generalization of [KEP-2862: Fine-grained Kubelet API Authorization](https://github.com/kubernetes/enhancements/blob/master/keps/sig-node/2862-fine-grained-kubelet-authz/README.md), as now an authorizer can say “allow lucas to create nodes/proxy, but only when the options.path \== ‘/configz’”, or any other such policy that the administrator might fancy. +After the move to WebSockets +([KEP 4006](https://github.com/kubernetes/enhancements/tree/master/keps/sig-api-machinery/4006-transition-spdy-to-websockets#proposal-synthetic-rbac-create-authorization-check)), +connect requests are initially authorized as e.g. “get pods/exec”, which can +lead someone thinking that giving “get \*” gives only read-only access, and not +also write access. To mitigate this privilege-escalation vector, when the +`AuthorizePodWebsocketUpgradeCreatePermission` feature gate is enabled (beta and +on by default in 1.35), currently `pods/attach`, `pods/exec` and +`pods/portforward` are subject to compound authorization, where effectively it +is made sure that the requestor also is authorized to “create” the corresponding +connectible resource. However, this check is not added (yet at least) for +`pods/proxy`, `services/proxy` and `nodes/proxy`. + +In relation to these two workstreams, it is proposed that we uniformly and +generally require the requestor to have the create verb using compound +authorization in the `ConnectResource` handler, whenever the feature gate (or a +new one) is enabled. This compound check would support conditional authorization +as well, with `operation == CONNECT`, `object == null`, `oldobject == null` but +`options != null`. Such a check thus becomes a generalization of +[KEP-2862: Fine-grained Kubelet API Authorization](https://github.com/kubernetes/enhancements/blob/master/keps/sig-node/2862-fine-grained-kubelet-authz/README.md), +as now an authorizer can say “allow lucas to create nodes/proxy, but only when +`options.path == ‘/configz’`”, or any other such policy that the administrator +might fancy. ### Compound Authorization for update/patch → create -If an update or patch turns into a create, the API server performs compound authorization to make sure the requestor also has the privilege to create the resource. This KEP also applies conditional authorization support for this compound authorization check, for consistency. +If an update or patch turns into a create, the API server performs compound +authorization to make sure the requestor also has the privilege to create the +resource. This KEP also applies conditional authorization support for this +compound authorization check, for consistency. ### Constrained Impersonation through Conditional Authorization -[KEP-5284: Constrained Impersonation](https://github.com/kubernetes/enhancements/tree/master/keps/sig-auth/5284-constrained-impersonation) proposes a way to restrict impersonation such that the requestor both needs the permission to impersonate the specified user, but the permission to impersonate certain types of requests, e.g. “lucas can only impersonate node foo, but only to get pods”. This is a perfect example of where conditional authorization shines; the request that is being performed is the initially-unknown data that an authorizer might want to specify conditions on. - -Consider the example of “lucas can only impersonate node foo, but only to get pods”. The authorizer policy (in pseudo-code) is of form: - -“request.userInfo.username \== ‘lucas’ && - request.verb \== ‘impersonate’ && - request.resource \== ‘nodes’ && - request.apiGroup \== ‘authentication.k8s.io’ && - request.name \== ‘foo’ && - impersonatedRequest.apiGroup \== ‘’ && - impersonatedRequest.resource \== ‘pods’ && - impersonatedRequest.verb \== ‘get’” +[KEP-5284: Constrained Impersonation](https://github.com/kubernetes/enhancements/tree/master/keps/sig-auth/5284-constrained-impersonation) +proposes a way to restrict impersonation such that the requestor both needs the +permission to impersonate the specified user, but the permission to impersonate +certain types of requests, e.g. +`lucas can only impersonate node foo, but only to get pods`. This is a perfect +example of where conditional authorization shines; the request that is being +performed is the initially-unknown data that an authorizer might want to specify +conditions on. + +Consider the example of +`lucas can only impersonate node foo, but only to get pods`. The authorizer +policy (in pseudo-code) is of form: + +```cel +request.userInfo.username == ‘lucas’ && +request.verb == ‘impersonate’ && +request.resource == ‘nodes’ && +request.apiGroup == ‘authentication.k8s.io’ && +request.name == ‘foo’ && +impersonatedRequest.apiGroup == ‘’ && +impersonatedRequest.resource == ‘pods’ && +impersonatedRequest.verb == ‘get’ +``` -The first five ANDed expressions can be evaluated to true directly, just based on the data that is available in the normal impersonation SubjectAccessReview. However, impersonatedRequest is unknown, and thus does the residual expression yield conditions in the SubjectAccessReview response, e.g. as follows: +The first five ANDed expressions can be evaluated to true directly, just based +on the data that is available in the normal impersonation SubjectAccessReview. +However, impersonatedRequest is unknown, and thus does the residual expression +yield conditions in the SubjectAccessReview response, e.g. as follows: ```yaml apiVersion: authorization.k8s.io/v1 @@ -790,72 +1285,141 @@ status: - conditionsSet: - type: k8s.io/authorization-cel id: “lucas-only-impersonate-node-get-pods” - condition: “impersonatedRequest.apiGroup == ‘’ && impersonatedRequest.resource == ‘pods’ && impersonatedRequest.verb == ‘get’” + condition: | + impersonatedRequest.apiGroup == ‘’ && + impersonatedRequest.resource == ‘pods’ && + impersonatedRequest.verb == ‘get’” effect: Allow ``` -Now, the impersonation filter can evaluate the condition, either through the builtin CEL evaluator (if applicable), or by calling the Authorizer’s EvaluateConditions endpoint with the missing data (the information about the impersonated request). +Now, the impersonation filter can evaluate the condition, either through the +builtin CEL evaluator (if applicable), or by calling the Authorizer’s +EvaluateConditions endpoint with the missing data (the information about the +impersonated request). -This approach avoids adding synthetic verbs like `impersonate-on:user-info:list` to Kubernetes authorization, just for some specific, hard-coded expressions. +This approach avoids adding synthetic verbs like `impersonate-on:user-info:list` +to Kubernetes authorization, just for some specific, hard-coded expressions. ## Built-in CEL conditions evaluator -The most logical alternative for Kubernetes to provide as a builtin primitive is a CEL conditions evaluator. Such a conditions evaluator could re-use most of the CEL infrastructure that Kubernetes already has, and provide a unified model for those that already are familiar with ValidatingAdmissionPolicies. This means that a wide variety of authorizers could author CEL-typed conditions, and let the API server evaluate them without a need for a second webhook. RBAC++ could use this as well. +The most logical alternative for Kubernetes to provide as a builtin primitive is +a CEL conditions evaluator. Such a conditions evaluator could re-use most of the +CEL infrastructure that Kubernetes already has, and provide a unified model for +those that already are familiar with ValidatingAdmissionPolicies. This means +that a wide variety of authorizers could author CEL-typed conditions, and let +the API server evaluate them without a need for a second webhook. RBAC++ could +use this as well. -However, this evaluator could evolve with distinct maturity guarantees than the core conditional authorization feature. +However, this evaluator could evolve with distinct maturity guarantees than the +core conditional authorization feature. ## Open Questions - What are quantitative performance requirements for this feature? - Faster than a second webhook? On par with builtin, prebuilt VAP policies? -- How expressive do we let the CEL environment be? Should it e.g. include namespaceObject? -- Do we need to configure conversion of native objects into some specifically-requested version like VAP, or do we just use the raw object in the admission controller? +- How expressive do we let the CEL environment be? Should it e.g. include + `namespaceObject`? +- Do we need to configure conversion of native objects into some + specifically-requested version like VAP, or do we just use the raw object in + the admission controller? - What are the most important metrics that should be added? - Are there specific GVRs we don't want to let be conditionally authorized? -- If there is increasing communication between k8s and e.g. webhook authorizers, would it be more performant to keep a bidirectional gRPC open at all times, and use that for comms, similar to ServiceAccount issuing and KMS implementations? +- If there is increasing communication between k8s and e.g. webhook authorizers, + would it be more performant to keep a bidirectional gRPC open at all times, + and use that for comms, similar to ServiceAccount issuing and KMS + implementations? ## Alternatives Considered, Detailed Decision Log ### Let the API server indicate that it supports conditional authorization -In order for the API server to indicate to a webhook authorizer that it supports conditional authorization, the API server would add the `kubernetes.io/ConditionalAuthorizationFeature=true` annotation. +In order for the API server to indicate to a webhook authorizer that it supports +conditional authorization, the API server would add the +`kubernetes.io/ConditionalAuthorizationFeature=true` annotation. -However, this is not needed with the current setup; if an old apiserver receives conditions from a new authorizer, it will just ignore the conditions and treat the SAR as a NoOpinion, as it should. +However, this is not needed with the current setup; if an old apiserver receives +conditions from a new authorizer, it will just ignore the conditions and treat +the SAR as a NoOpinion, as it should. ### Resolve the conditions until a concrete response in the union authorizer -In the beginning of writing this proposal, we were thinking that the union authorizer would keep resolving conditions until an unconditional response is found. However, we later opted for the lazy approach, due to performance concerns with the former approach. +In the beginning of writing this proposal, we were thinking that the union +authorizer would keep resolving conditions until an unconditional response is +found. However, we later opted for the lazy approach, due to performance +concerns with the former approach. ### Expose all conditions in AdmissionReview, and have admission plugins “acknowledge” the conditions -The SIG Auth meeting of September 4, 2025 concluded that this feature should support also condition types that are not built into Kubernetes. Thus does there need to be some way to evaluate the not-natively-supported conditions in the admission phase. The most logical way, would be to add some fields to AdmissionReview, and thus let admission webhooks let the API server know (*besides* the AdmissionReview’s primary response.allowed field) what the conditions evaluated to. - -However, this turned out to be unnecessarily complicated in practice, when taking the idea further. Should all conditions from potentially every authorizer in the chain be sent to every admission webhook? Probably not. - -Can an admission webhook choose to evaluate individual conditions of some specific authorizer, or does the admission webhook need to evaluate all conditions produced by a certain authorizer at once, returning the result of the whole condition set according to the defined semantics? The latter solution is much simpler for both users and implementers to understand, so probably the latter. - -However, then, how can one know that a certain admission webhook has the right to acknowledge a certain authorizer’s conditions? What if the conditional authorizer is controlled by the cloud provider or infrastructure team, but a (malicious) user dynamically registers its own admission webhook that wants to acknowledge the conditions from the cloud provider’s authorizer? What happens if there are multiple (dynamically registered) admission webhooks that evaluated the same input data (conditions+request body) to two different outputs? - -These questions led us to realize that the safest initial plan is to require a 1:1 mapping between the authorizer (registered through AuthorizationConfiguration) and the authorizer’s condition enforcer. As normal users anyways cannot dynamically register authorizers, there is no need to dynamically register authorizer condition enforcers either for normal users. Thus is the most logical place to register the authorizer’s condition enforcer, in the same place the authorizer is defined in AuthorizationConfiguration. - -In other words, only the authorizer itself can evaluate its own conditions in the admission phase, and all at once only (as a set), not partially. +The SIG Auth meeting of September 4, 2025 concluded that this feature should +support also condition types that are not built into Kubernetes. Thus does there +need to be some way to evaluate the not-natively-supported conditions in the +admission phase. The most logical way, would be to add some fields to +AdmissionReview, and thus let admission webhooks let the API server know +(*besides* the AdmissionReview’s primary response.allowed field) what the +conditions evaluated to. + +However, this turned out to be unnecessarily complicated in practice, when +taking the idea further. Should all conditions from potentially every authorizer +in the chain be sent to every admission webhook? Probably not. + +Can an admission webhook choose to evaluate individual conditions of some +specific authorizer, or does the admission webhook need to evaluate all +conditions produced by a certain authorizer at once, returning the result of the +whole condition set according to the defined semantics? The latter solution is +much simpler for both users and implementers to understand, so probably the +latter. + +However, then, how can one know that a certain admission webhook has the right +to acknowledge a certain authorizer’s conditions? What if the conditional +authorizer is controlled by the cloud provider or infrastructure team, but a +(malicious) user dynamically registers its own admission webhook that wants to +acknowledge the conditions from the cloud provider’s authorizer? What happens if +there are multiple (dynamically registered) admission webhooks that evaluated +the same input data (conditions+request body) to two different outputs? + +These questions led us to realize that the safest initial plan is to require a +1:1 mapping between the authorizer (registered through +`AuthorizationConfiguration`) and the authorizer’s condition enforcer. As normal +users anyways cannot dynamically register authorizers, there is no need to +dynamically register authorizer condition enforcers either for normal users. +Thus is the most logical place to register the authorizer’s condition enforcer, +in the same place the authorizer is defined in `AuthorizationConfiguration`. + +In other words, only the authorizer itself can evaluate its own conditions in +the admission phase, and all at once only (as a set), not partially. ### Propagate an API server-generated request UID to both authorization and admission -This would have helped solve the atomicity concern, but it is not a full long-term solution, as it still relies on people setting up webhooks. +This would have helped solve the atomicity concern, but it is not a full +long-term solution, as it still relies on people setting up webhooks. ### Only one ConditionSet exposed as part of SubjectAccessReview status -However, if only one condition set is exposed, it might be impossible for a user to understand what conditions it is subject to for a given request through a (Self/Local/Standard) SubjectAccessReview, as the first conditional response might be just a “deny dangerous operations”-type of conditional response. +However, if only one condition set is exposed, it might be impossible for a user +to understand what conditions it is subject to for a given request through a +(Self/Local/Standard) SubjectAccessReview, as the first conditional response +might be just a “deny dangerous operations”-type of conditional response. -The user should thus see all conditional allows and denies until there is an unconditional response. +The user should thus see all conditional allows and denies until there is an +unconditional response. ### Require the client to annotate its write request with field or label selectors -This would be a breaking change for clients, as whenever conditional authorizers would hit production usage, every client would need to annotate its every request with all selectors “just in case” some authorizer would make use of it, to higher the chances of getting authorized. This could duplicate a fair amount of the request data. +This would be a breaking change for clients, as whenever conditional authorizers +would hit production usage, every client would need to annotate its every +request with all selectors “just in case” some authorizer would make use of it, +to higher the chances of getting authorized. This could duplicate a fair amount +of the request data. -The other problem is updates: would the selector apply only to the request object, only to the stored one, or both at once. +The other problem is updates: would the selector apply only to the request +object, only to the stored one, or both at once. ### Extract label and field selectors from the request and current object in etcd, and supply that to the authorization process -If the client was not required to send all this data, but the API server would decode the object to extract “just” label and field selectors, the DoS vector occurs, where a malicious party could send huge requests with bogus data, that the API server would decode before authorization takes place. In addition, would this make the authorization process state-dependent (if the selector would need to apply to both the request and stored object), something which is considered an explicit anti-pattern. +If the client was not required to send all this data, but the API server would +decode the object to extract “just” label and field selectors, the DoS vector +occurs, where a malicious party could send huge requests with bogus data, that +the API server would decode before authorization takes place. In addition, would +this make the authorization process state-dependent (if the selector would need +to apply to both the request and stored object), something which is considered +an explicit anti-pattern. From 0ffe37a5cf9c61f10f6bb37d4b4fd20360e16ab0 Mon Sep 17 00:00:00 2001 From: Micah Hausler Date: Thu, 20 Nov 2025 14:48:46 -0600 Subject: [PATCH 4/7] Updated chain diagram --- .../images/authorizer-chain-computation.md | 59 ++++++++++++++++++ .../images/authorizer-chain-computation.png | Bin 33833 -> 211198 bytes 2 files changed, 59 insertions(+) create mode 100644 keps/sig-auth/5681-conditional-authorization/images/authorizer-chain-computation.md diff --git a/keps/sig-auth/5681-conditional-authorization/images/authorizer-chain-computation.md b/keps/sig-auth/5681-conditional-authorization/images/authorizer-chain-computation.md new file mode 100644 index 00000000000..dcd75c572dd --- /dev/null +++ b/keps/sig-auth/5681-conditional-authorization/images/authorizer-chain-computation.md @@ -0,0 +1,59 @@ +# Mermaid source for authorizer-chain-computation image + +This diagram was rendered on https://www.mermaidchart.com/play, not using the +native GitHub mermaid renderer so that the image was more visually clear. +Mermaid layout configs are not respected by GitHub. + + +```mermaid +--- +config: + layout: elk +title: Kubernetes with Conditional Authorization +--- +flowchart LR + subgraph ChainAuthorizer["ChainAuthorizer"] + direction TB + AuthzAllow["Allow"] + AuthzConditional["Conditional"] + AuthzDeny["Deny"] + AuthzNoOpinion["NoOpinion"] + end + subgraph WithAuthorization["WithAuthorization"] + direction TB + ServeHTTP["ServeHTTP"] + ServeHTTPWithConditions["ServeHTTP + ctx conditions"] + CannotBecomeAuthz["CannotBecomeAuthz"] + end + subgraph ChainAuthorizerEval["ChainAuthorizerEval"] + NoOpinion2["NoOpinion"] + Allow2["Allow"] + Conditional2["Conditional"] + Deny2["Deny"] + end + subgraph ValidatingAdmission["ValidatingAdmission"] + direction TB + AdmissionAllow["Allow"] + AdmissionEvaluate["Evaluate"] + AdmissionNoOpinion["NoOpinion"] + AdmissionDeny["Deny"] + ChainAuthorizerEval + end + Request["Request"] --> ChainAuthorizer + AuthzNoOpinion --> Request + AuthzAllow --> ServeHTTP + ServeHTTPWithConditions --> AdmissionEvaluate + AdmissionEvaluate --> AdmissionNoOpinion & AdmissionAllow & AdmissionDeny + AdmissionNoOpinion --> ChainAuthorizerEval + NoOpinion2 --> AdmissionNoOpinion + Allow2 --> AdmissionAllow + Conditional2 --> AdmissionEvaluate + Deny2 --> AdmissionDeny + AdmissionDeny --> 403(["403"]) + ServeHTTP -- Allowed --> AdmissionAllow["Allow"] + AuthzConditional -- 1+ Allow --> ServeHTTPWithConditions + AuthzConditional -- 0 Allow --> CannotBecomeAuthz + AuthzDeny --> CannotBecomeAuthz + CannotBecomeAuthz --> 403 + AdmissionAllow --> Storage(["Storage"]) +``` diff --git a/keps/sig-auth/5681-conditional-authorization/images/authorizer-chain-computation.png b/keps/sig-auth/5681-conditional-authorization/images/authorizer-chain-computation.png index 6de8ac5a6fb69a86d1c9e2e0a7567d41d93ec476..08a5156e9495f1e4f93fc2c1b62ab32bd44d0c57 100644 GIT binary patch literal 211198 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j&yMyoJHWpp`ktXQBGfx(mPn*tfj`pX3SyNahQ9v;`plty From 95eaacf0b714436ee260a9163d03959ea3e4af44 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Lucas=20K=C3=A4ldstr=C3=B6m?= Date: Wed, 26 Nov 2025 22:49:23 +0200 Subject: [PATCH 5/7] Updates after KubeCon / SIG Auth discussions --- .../5681-conditional-authorization/README.md | 1724 +++++++++-------- .../images/conditionset-evaluation.png | Bin 0 -> 197782 bytes .../images/overview.png | Bin 0 -> 401887 bytes .../images/webhook-architecture.png | Bin 290316 -> 0 bytes 4 files changed, 912 insertions(+), 812 deletions(-) create mode 100644 keps/sig-auth/5681-conditional-authorization/images/conditionset-evaluation.png create mode 100644 keps/sig-auth/5681-conditional-authorization/images/overview.png delete mode 100644 keps/sig-auth/5681-conditional-authorization/images/webhook-architecture.png diff --git a/keps/sig-auth/5681-conditional-authorization/README.md b/keps/sig-auth/5681-conditional-authorization/README.md index ad8f1cbd9be..3608175a3d3 100644 --- a/keps/sig-auth/5681-conditional-authorization/README.md +++ b/keps/sig-auth/5681-conditional-authorization/README.md @@ -36,360 +36,263 @@ - [Extract label and field selectors from the request and current object in etcd, and supply that to the authorization process](#extract-label-and-field-selectors-from-the-request-and-current-object-in-etcd-and-supply-that-to-the-authorization-process) -## Summary +## Abstract + +This KEP proposes extending Kubernetes authorization to support **conditions**, +where an authorization decision depends on **resource data** (labels and fields +of object), rather than only metadata (apiGroup, resource, namespace, name). +This enables more fine-grained, and most importantly, +[**cohesive**](https://github.com/kubernetes/kubernetes/issues/118985) access +control policies that span both authorization and admission phases, while +maintaining backward compatibility with existing authorizers. + +The goal of this proposal is to make authorizers able scope down their policies +*as if* the authorizer had access to the resource data directly, through the use +of two phases: + +1. compute `Allow`, `Deny`, `NoOpinion` or `Conditional` response during the + authorization phase. If `Conditional`, return the set of conditions to Kubernetes. +1. evaluate any conditions on the old/new object(s) during the validating admission + phase, and enforce the concrete `Allow`, `Deny` or `NoOpinion` result. + +Through this KEP, Kubernetes guarantees to the authorizer that its scoped-down +authorization policy will be enforced, without the authorizer having to rely on +existence of other specific admission plugins. + +Concretely, all `SubjectAccessReview` (SAR) APIs are extended such that a client +can ask for conditions and the authorizer can respond with conditions. The end +user thus becomes aware of what restrictions they are subject to through +`kubectl auth can-i` self-lookups. In addition, a new +`AuthorizationConditionsReview` API is added to let out-of-tree authorizers +evaluate conditions. + +This KEP aims to provide generalized framework for multiple previous features, +KEPs and issues: + +- + [DRA AdminAccess](https://github.com/kubernetes/enhancements/tree/master/keps/sig-auth/5018-dra-adminaccess): + "Deny creates and updates to `ResourceClaim`s with + `.spec.devices[*].adminAccess=true`, unless + `namespaceObject.metadata.labels["resource.kubernetes.io/admin-access"] == "true"`" +- + [Fine-grained Kubelet API Authorization](https://github.com/kubernetes/enhancements/blob/master/keps/sig-node/2862-fine-grained-kubelet-authz/README.md): + "Allow a node agent to proxy requests to nodes through the API server, but + only to scrape readonly information from a path starting with `/pods/`, not to + exec into pods" +- + [Constrained Impersonation](https://github.com/kubernetes/enhancements/tree/master/keps/sig-auth/5284-constrained-impersonation): + "Allow node agent `csi-driver-foo` to only impersonate the node it is running + on to `get pods`" +- Requiring presence of certain labels or fields: [#44703](https://github.com/kubernetes/kubernetes/issues/44703) +- Empowering authorizers to restrict the names of created objects: [#54080](https://github.com/kubernetes/kubernetes/issues/54080) +- The tight coupling between the `Node` authorizer and `NodeEnforcement` + admission controller; with this KEP, the same logic could be modelled through + only a conditional authorizer[^1]. +- Provide an alternative to hard-coded compound authorization (e.g. the + secondary + [CSR SignerName](https://github.com/kubernetes/enhancements/tree/master/keps/sig-auth/1513-certificate-signing-request) + authorization check) where needed (even though the two paradigms are + complimentary) +- Hopefully, provide a feature that is helpful to unblocking the + [Referential Authorization KEP](https://github.com/kubernetes/enhancements/pull/4387). +- "RBAC++" efforts, eventually. + +[^1]: Note that this proposal does not directly propose any relation/graph-based +authorization mechanism, but that a request might be conditionally allowed on +relation-based conditions. -This KEP proposes extending Kubernetes authorization to support **conditional -authorization**, where authorization decisions can depend on resource data -(labels and fields of object), rather than only metadata. This enables more -fine-grained access control policies while maintaining backward compatibility -with existing RBAC mechanisms. The goal of this proposal is to make authorizers -able scope down their policies, and have Kubernetes enforce those scoped-down -policies *as if* the authorizer had access to the resource data directly. -Examples of policies that bind the authorization decision to the resource data: +### Example Use Cases + +A non-exhaustive list, in addition to the ones mentioned above: - Allow user Alice to create, update, delete PersistentVolumes, but only - whenever spec.storageClassName is ‘dev’ -- Allow a principal to update an object only when a sensitive field is unchanged -- Allow a principal to create objects only with certain names -- Allow a node agent to only access objects referring to them -- Allow a controller to only add/remove its own finalizer -- Deny everyone except admins to use DRA adminAccess - -For context, Kubernetes Authorizers today do not have access to the resource -data for good reasons: - -1) Not all requests have resource data attached to it -2) The API server must be sure that the request **can become authorized** -according to all data known at the time (even though to reach a final decision, -the object must be decoded to check). It would be wasteful, and a DoS vector to -use API server CPU and RAM resources to decode a request payload in a request -that anyways cannot become authorized. -3) Authorization decisions must be stateless, i.e. the same authorization query -must yield the exact same decision whenever the underlying policy store is the -same. The authorizer should in other words be a deterministic function -`a: Metadata x PolicyStore → Decision`. In other words, the final authorization -decision (`Allow,` `Deny,` or `NoOpinion`) *must not* depend on the state of -objects in etcd. -4) The request payload might be mutated many times by admission controllers -before it reaches the state that can be checked into etcd. In addition, the old -object is only available very late in the request handling process, right before -an update is actually about to go through in the storage layer (and thus -admission is invoked). - -The observant reader might notice that in theory, a user could achieve this -desired protection effect by first authoring an “over-granting” RBAC rule, and -then “remove” the unwanted permissions through a ValidatingAdmissionPolicy. -However, this approach has downsides: + whenever spec.storageClassName is "dev" +- Allow a principal to update an object, but only when a sensitive field is unchanged +- Allow a principal to create CertificateSigningRequests, but only when using a + given signerName +- Allow a principal to update a resource, but only when a sensitive field is + left unchanged +- Allow a principal to issue ServiceAccount tokens, but only with a given audience +- Allow a controller to update a resource, but only to add/remove its own + finalizer name +- Allow a node agent to handle a resource, but only when `.spec.nodeName=` +- Allow a user to `create subjectaccessreviews`, but only to check permissions + of certain other users + +### Goals +- Provide a way for an authorizer (and by extension, policy author) to only + authorize certain write[^2] operations, when the payload or stored object + satisfies some specific conditions +- Let users discover what conditions they are subject to through + `(Self)SubjectAccessReview` +- Initially support write and connect requests, with options to expand coverage + to read[^2] and impersonate verbs later. +- Allow conditions to be expressed in both transparent, analyzable forms (like + Cedar or CEL), or opaque ones (like just `policy16`) +- Support expressing both “Allow” and “Deny” effect conditions. +- Provide the foundational framework on top of which we can build other + authorization features, such as Constrained Impersonation, RBAC++ and + Referential Authorization. +- Ensure that a request is evaluated against an atomic set of policies in the + authorizer, even in presence of cached authorization decisions + +[^2]: This KEP focuses on write requests, but another KEP that would add a +[generalized selector syntax](https://github.com/kubernetes/kubernetes/issues/128154) +is anticipated. That KEP would add a CEL-based, Kubernetes-specific, selector +syntax that form conditions for read requests. Thus could a generic, +conditions-aware "list me what I can see"-client be written that first issues a +SelfSAR, and then adds the returned (authorized) conditions to the list/watch +request, such that the request is by definition authorized. + +### Non-goals + +- Designing or mandating use of a specific policy authoring UX +- Designing or mandating use of a specific “official” condition syntax +- Expose the conditions to admission controllers + +## Background and Major Considered Alternatives + +To make the proposal easier to read, context and rationale for +commonly-asked-about alternatives is provided already at this stage. The reader +deeply familiar with Kubernetes authorization may proceed to the +[proposal chapter](#proposal). + +### Why not just give authorizers access to request and stored objects? + +Kubernetes Authorizers today do not have access to the resource data for good +reason: + +1. Not all requests have resource data attached to it +1. The API server must be sure that the request **can become authorized** + according to all data known at the time (even though to reach a final + decision, the object must be decoded to check). It would be wasteful, and a + DoS vector to use API server CPU and RAM resources to decode a request + payload in a request that anyways cannot become authorized. +1. Authorization decisions must be stateless, i.e. the same authorization query + must yield the exact same decision whenever the underlying policy store is + the same. The authorizer should in other words be a deterministic function + `a: Metadata x PolicyStore → Decision`. In other words, the initial + authorization decision *must not* + [depend on the state of objects in etcd](https://github.com/kubernetes/kubernetes/issues/44703#issuecomment-324826356). +1. The request payload might be mutated many times by admission controllers + before it reaches the state that can be checked into etcd. In addition, the + old object is only available very late in the request handling process, right + before an update is actually about to go through in the storage layer (and + thus admission is invoked). +1. Even if it was technically possible, providing the authorizer up-front with + the objects could yield a significant hit, as some time would be spent on + just propagating the objects to each authorizer, and the authorizer might + spend more time examining the object earlier. + +### Why not just use ValidatingAdmissionPolicies? + +The observant reader might notice that some of the +[use cases](#example-use-cases) can already be achieved today with the +`ValidatingAdmissionPolicy` (VAP) API. + +However, the solution is still in some regards sub-optimal: + +1. In the authorization phase, the policy author must "over-grant", and then + remember to (!) "remove" the permissions in the admission phase. 1. The user needs to understand two different paradigms at once, and coordinate the policies between them. -2. The principal matching predicate needs to be duplicated between RBAC and VAP -3. The policy author needs permission to both author RBAC rules and VAP objects. +1. The principal matching predicate needs to be duplicated between RBAC and VAP. +1. The policy author needs permission to both author RBAC rules and VAP objects. VAP objects do not have privilege escalation prevention, which means that - anyone that can create a VAP can author a static “false” condition for + anyone that can create a VAP can author a static `false` condition for `operation=*` and `resources=*`, which blocks all writes to the cluster, until an admin removes the offending VAP. Thus should not “create VAP” permissions be handed out to lower-privileged principals, e.g. namespaced administrators, who otherwise legitimately would need to write conditionally authorized policies. -4. Strict ordering of creates and deletes: In order to not at any point leak +1. Strict ordering of creates and deletes: In order to not at any point leak data, must the VAP deny rule be authored *and successfully activated* before the RBAC allow rules are, and vice versa for deletes. -5. The conditions do not show up in a (Self)SubjectAccessReview, but are only +1. The conditions do not show up in a `(Self)SubjectAccessReview`, but are only noticed by a user subject to the policy upon performing a request. - -Finally, an authorizer cannot expose a unified interface to the policy author, -as the authorizer might not be able to control the admission plugins or cluster -setup process otherwise of the cluster it serves authorization decisions to. -That means, that without this conditional authorization feature, the authorizer -cannot return conditional responses, as it cannot be sure they will be correctly -enforced in the API server chain (again, as the enforcement admission controller -might or might not exist). +1. Status quo with `ValidatingAdmissionPolicy` does not offer a tangible path + forward for providing a unified experience for writing fine-grained + authorization policies for reads. +1. The authorizer cannot let the policy author express conditional policies of + the form "allow create persistentvolumes, only when storageClassName=='foo'", + as the authorizer cannot mandate or control the admission plugins or cluster + setup process of the cluster it serves authorization decisions to. ![Over-grant in RBAC, deny in VAP](images/over-grant-rbac-deny-vap.png) -To achieve the goal of making an authorizer able to enforce invariants on the -resource data as if it had access to it, and critically, expose a unified -experience to the policy authors, the process is split in two (for conditional -policies only, all existing policies and logic are unchanged): - -1. In the authorization stage, the authorizer **partially evaluates** the - conditional policies such that the old and new objects and request options - are marked unknown (and thus un-evaluatable). If the policy is satisfied *in - every other regard* than as a function on the unknown data, this condition on - the unknown data is returned by the authorizer to the API server. -2. If there is a chance of the request becoming authorized, the API server - proceeds with the request, and enforces the conditions (as a validating - admission step) by either evaluating the conditions in-process (if - supported), or by calling the authorizer to evaluate the value of the - conditions, now given all possible data. - -Notably, this design achieves its goal of unified authorization expressions -across authorization and admission, without the breaking the reasons why -authorizers do not have direct access to the request body in the authorization -stage: - -1. Conditional Authorization is only supported for certain requests, namely - whenever admission is invoked (verbs create, update, patch, delete). -1. Any request that cannot become authorized, regardless of the value of the - resource data, is rejected already at the authorization stage, thanks to - partial evaluation. -1. The conditions are part of the returned authorization decision, and partial - evaluation is a deterministic function, i.e. the same output (which includes - the conditions) is guaranteed for the same inputs (metadata and policy store - content). -1. The API server enforces the conditions in the validating admission stage, - where access to the objects is available with the correct consistency - guarantees. - -The abstract Authorizer function definition is augmented from -`a: Metadata x PolicyStore → Decision` today to -`a: Metadata x PolicyStore → Decision x ConditionSet`. Concretely, the -`Decision` enum of the API server gets two new variants: `ConditionalAllow` and -`ConditionalDeny`. The `authorizer.Authorizer` Go interface’s function signature -naturally cannot be changed due to backwards compatibility requirements, but -instead are two dedicated functions used for invoking an authorizer with -potentially a conditional response, and returning a conditional response from -the authorizer: - -```go -package authorizer - -// Use instead of authorizer.Authorize when the caller wants to use potentially any conditions returned. -func AuthorizeWithConditionalSupport(ctx context.Context, attrs Attributes, authorizer Authorizer) (Decision, string, ConditionsEnforcer, error) - -// A conditional authorizer should return this in its Authorize method, whenever it wants to return a conditional response. -func NewConditionalDecision(ctx context.Context, self ConditionalAuthorizer, conditions *ConditionSet) (Decision, string, error) -``` - -TODO(luxas): Change this to propose another Authorizer interface instead, with upcasting. - -The abstract, deterministic function for an authorizer evaluating its conditions -into an unconditional Decision (`Allow,` `Deny,` or `NoOpinion`) is defined as: -`e: ConditionSet x Object x Object x Options → Decision`. Note that this -function *should not* have access to the policy store; this is by design, as it -makes this two-stage mechanism *atomic*, just like it would have been if it -could have been evaluated directly. - -A condition set, returned by some authorizer, is a map from an authorizer-scoped -identifier to a condition. Formally, a condition is a function -`c: Object x Object x Options → Boolean`. A condition has an *effect*, which -controls how the condition evaluating to “true” should be treated, e.g. should -it lead to an `Allow,` `Deny,` or `NoOpinion` response. A condition also has a -type, a simple string declaring in what format the condition is encoded. The -condition type can be well-known and transparent (e.g. CEL, OPA, or Cedar -formats), or opaque and authorizer-specific. Note: Even though the “full” new -and old objects are given as inputs to the condition in this model, the -authorizer is free to choose how much of that API surface is exposed to policy -authors. Some authorizer might decide to e.g. only expose field-selectable -fields in the expression model given to the policy author. - -Conditional authorization is available to both in-tree and webhook authorizers. -Conditional authorization is a generalization of the interaction between e.g. -the Node authorizer and NodeRestriction admission controller. Even though the -default assumption is that the authorizer authoring conditions is also -responsible for evaluating them, that tight coupling is not necessary. An -in-process, CEL-based ConditionSet evaluator is proposed, which can evaluate -ConditionSets where every condition is of CEL type. The vast amount of -ValidatingAdmissionPolicy CEL infrastructure can be re-used for this evaluator -almost as-is. - -TODO: Picture how it could be, e.g. -`a\_allatonce : Metadata x Object x Object x Options x PolicyStore → Decision` -vs how it is: `a: Metadata x PolicyStore → Decision x Conditions` and -`e: Conditions x Object x Object x Options → Decision`. - -The following picture summarizes how, with this feature, a webhook authorizer -can expose a unified policy authoring experience (e.g. through Cedar or CEL) by -returning conditions that are propagated with the request chain until admission, -in which it can be enforced in-process with the builtin CEL conditions enforcer, -if available, or through another admission-time webhook (not shown in the -picture). - -![Webhook Architecture](images/webhook-architecture.png) - -Together with the -[Authorize with Selectors KEP](https://github.com/kubernetes/enhancements/blob/2871b58880f5629f948b4ef50bffec0d1a677eeb/keps/sig-auth/4601-authorize-with-selectors/README.md), -it becomes possible to provide policy authors to write unified policies across -both authorization and admission, and **reads and writes**, at least whenever -operating on field-selectable fields. A practical example would be “allow user -Alice to perform *any verb* on PersistentVolumes, *but only when -spec.storageClassName is ‘dev’*” (assuming storageClassName is/would become -field-selectable). - -Consider that before this KEP, a user might need to use two or even three -different paradigms to protect both data and metadata across reads and writes: - -![Read/write and data/metadata consistency before this KEP](images/authorize-with-selectors-before.png) - -But after this KEP, it is possible to use a unified paradigm for all types: - -![Read/write and data/metadata consistency after this KEP](images/authorize-with-selectors-after.png) - -For a practical example of what this unified interface can look like, take a -look at Lucas' proof of concept at -[upbound/kubernetes-cedar-authorizer](https://github.com/upbound/kubernetes-cedar-authorizer), -in particular the -[getting started guide](https://github.com/upbound/kubernetes-cedar-authorizer/blob/main/docs/GETTING_STARTED.md). -If this project proves generally useful, it can be donated to a fitting place in -the CNCF ecosystem (e.g. kubernetes-sigs or Cedar, which is now a CNCF Sandbox -project). For more detailed information about the project and the philosophy -behind it, take a look at -[Lucas’ Master’s thesis](https://github.com/luxas/research/blob/main/msc_thesis.pdf) -(written at Aalto University). - -### Initial Design Resources - -- SIG Auth meeting June 4, 2025: - [meeting notes](https://docs.google.com/document/d/1woLGRoONE3EBVx-wTb4pvp4CI7tmLZ6lS26VTbosLKM/edit?tab=t.0#heading=h.2p3xwolypqkm), - [video](https://youtu.be/Clg-rz9qlUA?si=Ay4Dddd-iJRnC89R), - [slides](https://speakerdeck.com/luxas/conditional-authorization-for-kubernetes-sig-auth-presentation) -- SIG Auth Deep Dive on Conditional Authorization Sept 4, 2025: - [meeting notes](https://docs.google.com/document/d/1woLGRoONE3EBVx-wTb4pvp4CI7tmLZ6lS26VTbosLKM/edit?tab=t.0#heading=h.147ygvibasgh), - [video](https://zoom.us/rec/share/24DwlfWfrP7UZEMtkpk1XvpNP_sQuRrE7FQxKoJDRRbJ-vJTBarrEermV2-XSD5p.LSzKv2wS797xMYTs), - [slides](https://speakerdeck.com/luxas/conditional-authorization-sig-auth-deep-dive) -- Proof of Concept implementation: - [luxas/conditional\_authz\_4](https://github.com/kubernetes/kubernetes/compare/master...luxas:kubernetes:conditional_authz_4?expand=1) - branch +This proposal solves all of these mentioned issues through a two-phase model: -### Goals +1. the authorizer **partially evaluates** its authorization policies into + `Allow`, `Deny`, `NoOpinion`, or a set of conditions on the at the + authorization-stage unknown data: the request and stored object. +1. Kubernetes or the authorizer evaluates the conditions into a concrete + response, during the admission phase. -- Provide a way for an authorizer (and policy author) to only authorize certain - write operations, when the payload or stored object satisfies some specific - conditions -- Allow users subject to conditional policies discover what conditions they are - subject to through (Self)SubjectAccessReview -- Ensure that a request is evaluated against an atomic set of policies in the - authorizer, even in presence of cached authorization decisions -- Allow conditions to be expressed in both transparent, analyzable forms (e.g. - using languages like Cedar or CEL), or opaque ones (e.g. a UUID reference to - some policy within the authorizer that must be satisfied) -- Support expressing both “Allow” and “Deny” effect conditions (even though deny - conditions might be implemented at a later stage if needed). -- Provide the foundational framework on top of which we can build an RBAC++ API -- Make it possible to encode the logic of the NodeRestriction admission - controller through a condition returned by the Node authorizer -- Enable a path in which the Conditional Impersonation KEP could be implemented - by an authorizer returning a set of conditions on what kind of request (action - and resource) the impersonating user can impersonate +### What is partial evaluation? -### Non-goals +Partial evaluation is the process of evaluating expressions as far as possible +with incomplete data. A crucial consequence of this is that some unknown data +might turn out to not be needed at all to assign a fixed value to the +expression! This effective form of pruning can take place if some sub-expression +is independent of the unknown data. -- Designing or mandating use of a specific policy language as the user experience -- Designing or mandating use of a specific “official” condition syntax -- Expose the conditions to arbitrary admission controllers -- Support conditional authorization for requests other than write and connect verbs. - -### Requirements - -- Must preserve order of authorizers; evaluation must not differ from how it has - been evaluated using separate authorization and admission phases. -- Works for connectible (CONNECT verb) resources; only when the accessing the - connect action through POST (which we can guarantee works through compound - authorization, see below) -- It should still be the case that only if the request *can become authorized* - (depending only on the objects), the request payload should be decoded. We - must not decode the object before this, as that would be a DoS attack vector. -- The combined result of the partial authorization \+ later condition - enforcement must be the same as if the request and etcd-stored objects were - used in authorization directly in one step -- Keep backwards compatibility within version skew, as always. Also, and in - particular, for those vendoring [k8s.io/apiserver](http://pkg.go.dev/k8s.io/apiserver). -- Consider that a patch or update in authorization can turn into a create in - admission, patch in authorization can turn into an update in admission, and - deletecollection in authorization turns into a delete in admission. +In the KEP context, the unknown data at authorization time is the request and +stored objects, and the request options. -### Example Use Cases - -- Only allow a principal to create CertificateSigningRequests with a given signer -- Only allow a principal to update a resource as long as a sensitive field is - not changed -- Only allow a principal to issue a ServiceAccount token with a given audience -- Only allow a controller to use a specific finalizer -- Only allow a node agent to handle resources where `.spec.nodeName=` -- Only allow creating or updating a ResourceClaim when adminAccess=false - (generalization of DRA AdminAccess) -- Only allow a principal to create objects with certain names -- Only allow proxying certain URLs in the node proxy (generic solution to - [KEP-2862: Fine-grained Kubelet API Authorization](https://github.com/kubernetes/enhancements/blob/master/keps/sig-node/2862-fine-grained-kubelet-authz/README.md)) -- Encode the logic of the NodeRestriction admission controller through a - condition returned by the Node authorizer -- Empower out-of-tree authorizers to perform finer-grained policies, e.g. with - ABAC and/or label-based controls - -## Proposal - -### Introduction to partial evaluation and why it is useful to solve this problem - -Kubernetes authorization today only operates on metadata that can be parsed from -the HTTP request URI, headers, or method. There are good reasons for this, but -the primary one is to avoid excessive resource usage and thus denial of service -attacks. - -If the request payload was given to every authorizer, the bound on how much time -is reasonable for an authorizer to make a decision would be much looser, and the -API server would decode any request payload from potentially untrusted users, -without knowing first if it is possible for this request to even in theory be -authorized. - -Thus does it make sense for authorization to be based solely on metadata, from a -theoretical standpoint. However, users do not necessarily (want to) understand -this distinction between the authorization (metadata) and admission (all -available data) phases, especially if the UX of those phases are different. - -Fortunately there is a path towards both protection against untrusted users and -a unified, consistent user experience through **partial evaluation**. Partial -evaluation is the process of evaluating policy expressions as far as possible -with available metadata, and crucially, *pruning* all policies that would -resolve to the constant false – no matter what the request payload is. However, -if all checks that refer to the metadata fold into true, what is left of the -policy expression is either true (unconditional allow) or some condition on the -request payload, which during the partial evaluation process is explicitly -marked *unknown*. - -**Example 1**: Consider a ValidatingAdmissionPolicy-like CEL environment syntax, +Consider a ValidatingAdmissionPolicy/CEL-like expression syntax, and how the following two policies would be partially evaluated for the two example users Alice and Bob: -- Allow Policy 1: “request.apiGroup \== “” && request.userInfo.username \== ‘Bob’” -- Allow Policy 2: “request.apiGroup \== “” - && request.resource \== “persistentvolumeclaims” - && request.verb \== “create” - && request.userInfo.username \== ‘Alice’ - && object.spec.storageClassName \== “dev”” +- Allow Policy 1: `request.apiGroup == "" && request.userInfo.username == "bob"` +- Allow Policy 2: + + ```cel + request.apiGroup == "" + && request.resource == "persistentvolumeclaims" + && request.verb == "create" + && request.userInfo.username == "alice" + && object.spec.storageClassName == "dev" + ``` + +Now, if Alice performs a `create persistentvolumeclaims`, what will the policies +partially evaluate to? -Now, if Alice performs a create PersistentVolumeClaims, what will the policies -partially evaluate to, when “object” is kept unknown, but everything else is -specified? +- Allow Policy 1: `true && false` => `false` +- Allow Policy 2: + `true && true && true && true && object.spec.storageClassName == "dev"` => + `object.spec.storageClassName == "dev"` -- Allow Policy 1: “true && false” \=\> false -- Allow Policy 2: “true && true && true && true && object.spec.storageClassName \== “dev”” +In these examples, the result of each sub-expression is shown for clarity. +Policy 1 clearly evaluates to false, without knowing the value of `object`. +Policy 2 produces a *residual expression*. Without knowing the object, it is +impossible to assign a truth value to the residual, and thus is this our +condition in the authorizer response. -In this example, the result of each sub-expression is shown for clarity. Policy -1 clearly evaluates to false, without even knowing the value of “object”. Policy -2 is a *residual expression*, without knowing the object, it is impossible to -assign a truth value to it. +Next, let's consider what happens if Bob performs `create persistentvolumeclaims` +in the same setting: -Next, let’s consider what happens if Bob performs create persistentvolumeclaims -in the same setting (object is unknown): +- Allow Policy 1: `true && true` => `true` +- Allow Policy 2: + `true && true && true && false && object.spec.storageClassName == "dev"` => + `false` -- Allow Policy 1: “true && true” \=\> true -- Allow Policy 2: “true && true && true && false && object.spec.storageClassName \== “dev”” \=\> false +Now, Policy 1 returned an unconditional (concrete) allow, and Policy 2 can never +be true, no matter what the value of the object is. If the authorizer follows +"at least one matching Allow policy yields Allow", a concrete Allow can be +returned instantly. -Now, note that Policy 1 returned an unconditional allow, and that Policy 2 in -this context will be false, no matter what the value of the object is. There is -no need to evaluate further than the first ANDed false sub-expression in Policy -2, as one can soundly conclude that due to the fourth sub-expression evaluating -to false, there is no way the expression could become true later. Also, note -that “Allow OR Conditional Allow \=\> Allow”, that is, if both a conditional and -unconditional allow exists, the OR result is unconditional allow regardless of -what the conditional allow would evaluate to. This positive pruning is also -useful. +The authorizer might also do positive pruning, that is, if one Allow policy +evaluates to `true`, and another Allow policy to a residual, the authorizer +concludes that no matter what the object is, their union will yield Allow. -Finally, what would happen if Eve tries to create PersistentVolumeClaims: +Finally, what would happen if user Eve (who is assigned no permissions) tries to +`create persistentvolumeclaims`: -- Allow Policy 1: “true && false” \=\> false -- Allow Policy 2: “true && true && true && false && object.spec.storageClassName \== “dev”” \=\> false +- Allow Policy 1: `true && false` => `false` +- Allow Policy 2: + `true && true && true && false && object.spec.storageClassName == "dev"` => + `false` This gives us both properties we want: Eve is denied access immediately in the authorization stage (without ever decoding the body), while it being possible to @@ -402,52 +305,25 @@ and [OPA](https://blog.openpolicyagent.org/partial-evaluation-162750eaf422). In particular the Cedar RFC has good argumentation on why partial evaluation only works well in cases where all expressions have a concrete type. -After partial evaluation has been performed successfully, the only variables -left are: - -- request/new object -- stored/old object -- options object -- admission operation (CREATE/UPDATE/DELETE). This cannot in fact be known up - front, even if we know the authorization verb, as e.g. the “patch” - authorization verb using Server-Side Apply can become a CREATE operation or a - normal UPDATE operation. - -For example, if a sub-expression of a policy is initially -`object.name == request.userInfo.username`, then by the end of the partial -evaluation process, the known variable “request.userInfo.username” *must* be -substituted with its concrete value (say ‘lucas’), which yields the expression -“object.name \== ‘lucas’”. In other words, the residual expression should not -depend on any variables already known, but instead just substitute known -variable values with constants. - -One quite tricky technical detail about partial evaluation is the -short-circuiting of e.g. the common “&&” and “||” operators, especially with -regards to errors. Clearly, `false && ` can be simplified to -“false”. However, ` && false` can either be “false” or “error”, if -evaluating `` produces an error. Thus is not the && operator -commutative. However, the authorizer *should* only return conditions that, -depending on the resource data, *could* become true. Returning conditions that -are always false is a waste of resources, as the request could get farther into -the request chain this way, but later just get denied. In other words, the -authorizer should not return a condition of form ` && false` with -Allow effect. As conditions with Deny effect are sensitive to errors, it is, -however, reasonable to return ` && false` with a deny effect, if one -wants to make sure that if the error happens, the request fails closed. +Note that partial evaluation *should* substitute all known variables with +constants, even if the residual cannot be fully evaluated. For example, when a +sub-expression is initially `object.name == request.userInfo.username` and +`request.userInfo.username` is known to be `"lucas"`, but `object` is unknown, +the resulting residual is `object.name == "lucas"`. In other +words, the residual does not depend on any variables already known. ### Why propagate the conditions with the request? -In the summary, it was already concluded that the authorizer needs to be able to +It was already concluded that the authorizer needs to be able to depend on the API server to “call the authorizer back” with the resource data, -whenever a conditional decision is returned. However, let’s consider two major -alternative designs before going deeply into the current design. Instead of the -authorizer returning a concrete set of conditions to Kubernetes, one could +whenever a conditional decision is returned. However, instead of the +authorizer returning the set of conditions to Kubernetes, one could imagine two other methods, as follows: -1. The authorizer does not return a Condition Set, but relies on Kubernetes to +1. The authorizer does not return a ConditionSet, but relies on Kubernetes to send an `AdmissionReview` to the authorizer whenever a conditional decision - (just a bit) was made. The authorizer then re-evaluates all policies against - the AdmissionReview with complete data. This approach has many drawbacks: + was made. The authorizer then re-evaluates all policies against the + AdmissionReview with complete data. This approach has many drawbacks: 1. **Two full evaluations needed:** During the authorization phase, the worst-case runtime is `O(nk)`, where n is the number of policies, and k is the maximum policy evaluation time. The admission-time evaluation would @@ -475,24 +351,24 @@ imagine two other methods, as follows: subject to before they execute a request that violates it (hopefully with a nice error message). 1. With this proposal, a user can see the conditions serialized in the - (Self)SubjectAccessReview. Some of the conditions might be opaque (like - “policy16”), yes, but at least the user might know where to look next. -2. The authorizer does not return a Condition Set, but instead caches the + `(Self)SubjectAccessReview`. Some of the conditions might be opaque (like + `policy16`), yes, but at least the user might know where to look next. +2. The authorizer does not return a ConditionSet, but instead caches the conditions in a memory. The authorizer relies on Kubernetes to generate a - random “request ID”, which is passed to both SubjectAccessReview and - AdmissionReview webhooks, so the authorizer can know which conditions to + random “request ID”, which is passed to both `SubjectAccessReview` and + `AdmissionReview` webhooks, so the authorizer can know which conditions to apply to which request. 1. This approach does not have the “Two full evaluations needed” and “Non-atomicity” problems of the first alternative approach, as only the conditions need to be atomically evaluated against the resource data. However, this approach is subject to the “Tight coupling” and “Not - observable through (Self)SubjectAccessReview” problems. In addition, the + observable through `(Self)SubjectAccessReview`” problems. In addition, the following problems arise: 2. **A stateful authorizer is complex and hard to scale:** The authorizer must be way more complex, as it needs to keep a lookup table of request ID to condition set internally. If the authorizer needs to be horizontally scaled, the load balancer in front of the horizontally scaled authorizers - would somehow need to know which authorizer replica has what requests’ + would somehow need to know which authorizer replica has what requests' conditions stored in memory. 1. With this proposal, the authorizer is allowed to be stateless and thus simpler. Therefore, also the horizontal scaling can be done in a @@ -503,13 +379,269 @@ imagine two other methods, as follows: authorizer does not (generally) know the API server configuration, and thus does not know how long to cache the conditions, or if at all. +### Glossary + +- Concrete/Unconditional (authorization) decision: one of `Allow`, `Deny`, `NoOpinion`. +- Residual: Expression which is a deterministic function of data that was + unknown during partial evaluation. +- Conditional Allow: A `Conditional` decision with a `ConditionSet` that has at + least one `effect=Allow` condition. In other words, the conditional decision + can turn into a concrete `Allow`, `Deny` or `NoOpinion` when evaluated. +- Conditional Deny: A `Conditional` decision with a `ConditionSet` that has no + `effect=Allow` condition, in other words, just `effect=NoOpinion` or + `effect=Deny` conditions. When evaluated, this `ConditionSet` can thus only + turn into concrete `Deny` or `NoOpinion` decisions. + +## Proposal + +To achieve the above mentioned goals, at a high level, the following changes are +proposed: + +- The `authorizer.Authorizer` interface and `SubjectAccessReview` API are + extended to support: + - The client indicating it supports conditional authorization + - The authorizer returning, in addition to existing unconditional `Allow`, + `Deny` or `NoOpinion` decisions, a set of conditions +- The `WithAuthorization` HTTP filter lets a supported request proceed in the + request chain if the decision is: + - A unconditional `Allow`, just like before, or + - A ConditionSet *which can evaluate* to `Allow` +- A new, always-on `k8s.io/apiserver`-built-in `AuthorizationConditionsEnforcer` + validating admission plugin (ordered before other validating webhooks) which + enforces that the set of conditions (if any) evaluate into `Allow`, or denies + the request. + - To empower out-of-tree/webhook authorizers to evaluate their (opaque) + conditions, a new `AuthorizationConditionsReview` API is added. + - Any conditional authorizer must serve this API, which means that also + `kube-apiserver` must serve it.[^3] +- A `k8s.io/apiserver`-built-in CEL condition evaluator, which allows evaluating + conditions expressed in CEL format to be evaluated in-process without another + webhook. + +[^3]: As `kube-apiserver` serves as a webhook authorizer for aggregated API servers. + +Notably, this design achieves its goal of unified authorization expressions +across authorization and admission, without the breaking the reasons why +authorizers do not have direct access to the request body in the authorization +stage: + +1. Conditional Authorization is only supported for certain requests, namely + whenever admission is invoked (verbs `create`, `update`, `patch`, `delete` + and connect requests). +1. Any request that cannot become authorized, regardless of the value of the + resource data, is rejected already at the authorization stage, thanks to + partial evaluation. +1. The conditions are part of the returned authorization decision, and partial + evaluation is a deterministic function, i.e. the same output (which includes + the conditions) is guaranteed for the same inputs (metadata and policy store + content). +1. The API server enforces the conditions in the validating admission stage, + where access to the objects is available with the correct consistency + guarantees. +1. Authorizers process the object data only when really needed, which minimizes + the performance hit. + +The following picture summarizes how, with this feature, a webhook authorizer +can expose a unified policy authoring experience (e.g. through Cedar or CEL) by +returning conditions that are propagated with the request chain until validating +admission, where the `AuthorizationConditionsEnforcer` plugin "calls the +authorizer back" with the conditions it gave, and the rest of the data. + +![Conditional Authorization Overview](images/overview.png) + +In function syntax, an authorizer is a deterministic function +`authorize: Metadata x PolicyStore → Decision`. A `ConditionSet`, returned by +some authorizer, is a map from an authorizer-scoped identifier to a condition. +With this proposal, the `Decision` logical enum gets a new `Conditional` +variant, that has a `ConditionSet` associated with it. + +Let `ConditionsData` be the term for the data unknown at authorization time +(request, stored object and request options). A condition is a deterministic +function `condition: ConditionsData → Boolean`. Note that the condition is only +a function of the unknown data; already-known data should be constants of the +condition (see the [partial evaluation section](#what-is-partial-evaluation) for +an example). A condition also has an *effect*, which controls if evaluation to +`true` should be treated as producing a `Allow,` `Deny,` or `NoOpinion` +decision. + +Note that even though the “full” new and old objects are given as inputs to the +condition in this model, the authorizer is free to choose how much of that API +surface is exposed to policy authors. Some authorizer might decide to e.g. only +expose field-selectable fields in the expression model given to the policy +author. + +Evaluating a `ConditionSet` is a deterministic function +`evaluate: ConditionSet x ConditionsData → (Decision - {Conditional})`. Note +that conditions evaluation *should not* have access to the policy store; this is +by design, as it makes this two-stage mechanism *atomic*, just like it would +have been if it could have been evaluated directly. + +### Technical Requirements + +- The final decision must always be the same in this two-phase model as in a + one-phase model (that is, if the request / stored object were given directly + to the authorizer). This for example implies that the order of the authorizers + must be preserved. +- Only proceed to decode the object if the request *can become authorized*, to + avoid DoS. +- Must work for connectible resources (see + [this section](#compound-authorization-for-connectible-resources) for more + details) +- Keep backwards compatibility within supported version skew, as always. +- Consider that a patch or update in authorization can turn into a create in + admission, patch in authorization can turn into an update in admission, and + deletecollection in authorization turns into a delete in admission. +- Must work with aggregated API servers. +- Must work with any authorizer chain that is formed as a DAG. + +### Core interface changes + +This KEP proposes to change `authorizer.Decision` to be a struct (as Go does not +support enums with attached data :/), change the `authorizer.Authorizer` interface +accordingly, and let the caller signal its conditions-readiness: + +```go +package authorizer // k8s.io/apiserver/pkg/authorization/authorizer + +// Authorizer makes an authorization decision based on information gained by making +// zero or more calls to methods of the Attributes interface. It might return +// an error together with any decision. It is then up to the caller to decide +// whether that error is critical or not. +type Authorizer interface { + Authorize(ctx context.Context, a Attributes) (Decision, error) +} + +type Attributes interface { + // ... everything else as before, plus: + + // ConditionsMode indicates how, if any, the client wants conditions to be returned. + ConditionsMode() ConditionsMode +} + +// ConditionsMode specifies the client's request of how conditions should be returned +// by the authorizer (or not at all). ConditionsMode name TBD. +type ConditionsMode string + +const ( + // ConditionsModeNone indicates that the client does not support conditions. + ConditionsModeNone ConditionsMode = "" + + // ConditionsModeHumanReadable indicates that the client wants a + // human-readable condition and description, if possible. + ConditionsModeHumanReadable ConditionsMode = "HumanReadable" + + // ConditionsModeOptimized indicates that the client wants an + // optimized conditions encoding without description, if possible. + ConditionsModeOptimized ConditionsMode = "Optimized" +) + +// Decision constructors + +func DecisionAllow(reason string) Decision {} +func DecisionDeny(reason string) Decision {} +func DecisionNoOpinion(reason string) Decision {} +func DecisionConditional(conditionSets *ConditionSet) Decision {} + +// ChainedDecisions combines an ordered list of computed decisions of an authorizer +// chain, and registers a set of lazily-evaluated authorizers in the chain to call +// in AllConditionSets() or if needed in Evaluate() +// In case of nested unioned Decisions, the hierarchy is flattened. +func ChainedDecisions(decision []Decision, authorizerChain ...Authorizer) Decision + +// Decision models an enum that can be Allow, Deny, NoOpinion or +// Conditional([]*ConditionSet, []Authorizer) +// The Decision struct is passed by value, and the empty struct == Deny. +type Decision struct { + // only private fields +} + +// Replaces the old enum d == authorizer.DecisionAllowed, etc. +func (d Decision) IsAllowed() bool {} +func (d Decision) IsDenied() bool {} +func (d Decision) IsNoOpinion() bool {} +func (d Decision) IsConditional() bool {} + +func (d Decision) IsConcrete() bool {return d.IsAllowed() || d.IsDenied() || d.IsNoOpinion()} + +func (d Decision) Reason() string {} + +// CanBecomeAllowed returns true if d.IsAllowed() or any ConditionSet can become +// allowed. +func (d Decision) CanBecomeAllowed() bool {} + +// Evaluate evaluates all ordered ConditionSets of d into a concrete decision. +// +// Might be an expensive operation, as authorizers might webhook to evaluate +// its conditions. +func (d Decision) Evaluate(ctx context.Context, data ConditionsData, builtinConditionSetEvaluators ...BuiltinConditionSetEvaluator) (Decision, error) + +// AllConditionSets returns an ordered list of all (including lazily-evaluated) +// authorizers' decisions, until a concrete decision is reached. +// +// Might be an expensive operation, as webhook authorizers might be called. +func (d Decision) AllConditionSets(ctx context.Context) ([]*ConditionSet, error) +``` + +Instead of `return authorizer.DecisionAllow, "some reason", nil`, all in-tree +authorizers' return statements need to be rewritten to +`return authorizer.DecisionAllow("some reason"), nil`. The change is not huge, +but could be tedious. One good side-effect is that before it was possible to use +values beyond the enum, e.g. like `return -100, "", nil`, but not anymore. + +The behavior of the zero value was previously `0 == DecisionDeny`, and is +preserved as `Decision{} == DecisionDeny("")`. + +The `authorizer.Attributes` package is augmented with `ConditionsMode`, to let +the client indicate whether slower-to-execute, human-readable conditions with +description or optimized (e.g. binary AST) conditions are more important. The +default is an empty string, which is treated as "the client does not support +conditions". In this case, an authorizer is advised to return `Deny` if it would +have returned one or more `effect=Deny` conditions, otherwise the authorizer +should `NoOpinion`. + +Evaluating a conditional decision into a concrete one is done using the +`Evaluate()` method, and this function requires supplying at least all the data +that was not present earlier, but which authorization policies are allowed to +use. If the partial evaluation process was done correctly, the condition should +be a pure function of this data: + +```go +package authorizer // k8s.io/apiserver/pkg/authorization/authorizer + +// TODO: This interface might need to change to something more generic, +// as e.g. constrained impersonation might use other contextual data +// (or we bake that data into GetObject(), or add another field) +type ConditionData interface { + // GetOperation is the operation being performed + GetOperation() string + // GetOperationOptions is the options for the operation being performed + GetOperationOptions() runtime.Object + // GetObject is the object from the incoming request prior to default values + // being applied. + // Only populated for CREATE and UPDATE requests. + GetObject() runtime.Object + // GetOldObject is the existing object. + // Only populated for UPDATE and DELETE requests. + GetOldObject() runtime.Object +} +``` + +``` +<<[UNRESOLVED sig-auth]>> + +We _could_ give provide the authorizer with admission attributes at the Go +interface level, so that builtin authorizers would have an easy time applying +their logic, but force users of the CEL conditions to partial evaluation +correctly by only exposing the previously-unknown data. + +<<[/UNRESOLVED]>> +``` + ### Condition and ConditionSet data model -The data model is shown in Go pseudocode. These types and interfaces could be -put in -[k8s.io/apiserver/pkg/authorization/authorizer](http://k8s.io/apiserver/pkg/authorization/authorizer), -or in a sub-package. They are abstract, non-serializable types, which concrete -implementations implement or convert to/from. +Next, the observant reader noticed that the `ConditionSet` struct was referred +to above. Next, let's walk through the detailed model of a condition and its +set: ```go package authorizer @@ -521,34 +653,36 @@ const ( // If any Deny condition evaluates to true, the ConditionSet // necessarily evaluates to Deny. No further authorizers // are consulted. - EffectDeny ConditionEffect = "Deny" + ConditionEffectDeny ConditionEffect = "Deny" // If a NoOpinion condition evaluates to true, the given - // authorizer’s ConditionSet cannot evaluate to Allow anymore, but + // authorizer's ConditionSet cannot evaluate to Allow anymore, but // necessarily Deny or NoOpinion, depending on whether there are any // true EffectDeny conditions. // However, later authorizers in the chain can still Allow or Deny. // It is effectively a softer deny that just overrides the // authorizer's own allow policies. It can be used if an authorizer - // does not consider itself fully authoritative for a given request. + // does not consider itself or the principal authoritative for a given request. // TODO: Talk about error handling; what happens if any of these // conditions fail to evaluate. - EffectNoOpinion ConditionEffect = "NoOpinion" + ConditionEffectNoOpinion ConditionEffect = "NoOpinion" // If an Allow condition evaluates to true, the ConditionSet evaluates // to Allow, unless any Deny/NoOpinion condition also evaluates to // true (in which case the Deny/NoOpinion conditions have precedence). - EffectAllow ConditionEffect = "Allow" + ConditionEffectAllow ConditionEffect = "Allow" ) -// A condition to be evaluatedN@ +// A condition to be evaluated type Condition struct { - // An alphanumeric string, max 255 bytes. + // An alphanumeric string, validated as a Kubernetes label, that is + // (/)[-A-Za-z0-9_.]{1,63}. + // Users must not use IDs with the 'k8s.io/' prefix. // Uniquely identifies the condition within the scope of the // authorizer that authored the condition. Acts as a key for a // slice of conditions, such that it can be used as a map. // The FailureMode of the ConditionalAuthorizer determines how to // handle invalid ID values. // Used for error messages, e.g. - // "condition 'no-pod-exec' denied the request" + // "condition 'company.com/no-pod-exec' denied the request" ID string // An opaque string that represents the condition that should be // evaluated. A condition is evaluated after mutation. @@ -557,35 +691,27 @@ type Condition struct { // base64-encoded), but max 1024 bytes. // The FailureMode of the ConditionalAuthorizer determines how to // handle too long Condition values. + // TODO: we could consider supporting also byte-encoded data using a + // mutually-exclusive ConditionBytes field, for more efficient + // AST encoding and execution of e.g. CEL conditions. Condition string // How should the condition evaluating to "true" be treated. // The FailureMode of the ConditionalAuthorizer determines how to // handle unknown Effect values. Effect ConditionEffect - // The format/encoding/language of the condition string. - // Any type starting with `k8s.io/` is reserved for Kubernetes - // condition types to be added in the future. - // The built-in CEL condition evaluator will use this domain. - // An authorizer must be able to evaluate any conditions it authors. - // Validated as a label key, i.e. an alphanumeric string with an - // optional prefix domain, in total max 63 bytes. - // The FailureMode of the ConditionalAuthorizer determines how to - // handle invalid Type values. - // TODO: We could consider forcing all conditions in a set to be of - // the same type, to avoid repeating this for every condition. - Type string // Optional human-friendly description that can be shown as an error // message or for debugging. - // TODO: We might want to leave this out, in case it consumes too much - // resources to pass around. Description string - // TODO: Do we need per-condition failure modes? + + // TODO: Do we need per-condition failure modes? Most likely not initially. } -// ConditionSet represents a potentially conditional output from one authorizer. +// ConditionSet represents a conditional response from an authorizer. // TODO: Decide on a maximum amount of conditions? type ConditionSet struct { + // private fields only, must be constructed through a constructor + // Some authorizers that are later in the chain than an authorizer that // returned a conditional response, might return unconditional responses. // Capture this in the ConditionSet. @@ -595,44 +721,20 @@ type ConditionSet struct { // adding them to the set. set []Condition } -``` - -### Core interfaces and the `AuthorizationConditionsEnforcer` admission controller - -After the partial evaluation process, the condition is a function that takes the -data available in admission, but not in authorization as input, and returns a -boolean. The data structure for the input data is defined as follows: -```go -package authorizer - -// TODO: This interface might need to change to something more generic, -// as e.g. constrained impersonation might use other contextual data -// (or we bake that data into GetObject()) -type ConditionData interface { - // GetOperation is the operation being performed - GetOperation() string - // GetOperationOptions is the options for the operation being performed - GetOperationOptions() runtime.Object - // GetObject is the object from the incoming request prior to default values - // being applied. - // Only populated for CREATE and UPDATE requests. - GetObject() runtime.Object - // GetOldObject is the existing object. - // Only populated for UPDATE and DELETE requests. - GetOldObject() runtime.Object -} +// The format/encoding/language the conditions in this set. +// Any type starting with `k8s.io/` is reserved for Kubernetes +// condition types to be added in the future. +// An authorizer must be able to evaluate any conditions it authors. +// Validated as a label key, i.e. an alphanumeric string with an +// optional DNS1123 subdomain prefix, and a key name of max 63 chars. +// The FailureMode of the ConditionalAuthorizer determines how to +// handle invalid Type values. +func (c *ConditionSet) Type() string {} ``` -Whenever the ConditionalAuthorization feature gate is enabled in the API server, -there is an `AuthorizationConditionsEnforcer` validating admission controller -whose job it is to evaluate the conditions, and enforce the decision that the -condition set evaluated to. The validating admission controller operates on a -fully-mutated request object just like other validating admission controllers, -by design. - -The signature for an entity that can evaluate a condition set into a concrete -decision (`Allow,` `Deny,` or `NoOpinion`) is as follows: +What distinguishes a "normal" authorizer from one that is able to handle +conditions? The ability to evaluate conditions. ```go package authorizer @@ -641,179 +743,28 @@ type ConditionSetEvaluator interface { // EvaluateConditions evaluates a condition set into // a concrete decision (Allow, Deny, NoOpinion), given full information // about the request (ConditionData, which includes e.g. the old and new objects). - EvaluateConditions(ctx context.Context, conditionSet *ConditionSet, data ConditionData) (Decision, string, error) + // The returned Decision must be concrete. + EvaluateConditions(ctx context.Context, conditionSet *ConditionSet, data ConditionData) (Decision, error) } -``` - -Each conditional authorizer should be able to evaluate any condition set it -returned, and thus is the ConditionalAuthorizer interface defined as follows: - -```go -package authorizer type ConditionalAuthorizer interface { Authorizer + // Every conditional authorizer must be able to evaluate the conditions it authored. ConditionSetEvaluator // FailureMode determines how to treat an error from EvaluateConditions FailureMode() FailureMode } ``` -In the latter sections, we will walk through a sketch for how to implement the -`ConditionalAuthorizer` interface for the Node and Webhook authorizers and -Constrained Impersonation. - -In addition, to facilitate for loose coupling between the authorizer authoring -the conditions, and the evaluation process, is there an interface for builtin -condition set evaluators, e.g. for evaluating CEL conditions in-process: - -```go -package authorizer - -type BuiltinConditionSetEvaluator interface { - ConditionSetEvaluator - // SupportedConditionTypes defines the condition types that the builtin - // evaluator can assign truth values to in-process. - SupportedConditionTypes() sets.Set[ConditionType] -} -``` - -Finally, recall that the output of the entrypoint for calling “authorize with -conditions” was defined as follows: - -```go -package authorizer - -// Use instead of authorizer.Authorize when the caller wants to use potentially -// any conditions returned. -// TODO: If SIG Auth wants, this can also be a pointer to a specific struct -// implementation, so that not "anyone" can implement the interface, -// if we want to guard it initially. -func AuthorizeWithConditionalSupport(ctx context.Context, attrs Attributes, authorizer Authorizer) (Decision, string, ConditionsEnforcer, error) -``` - -An Authorizer can only return a conditional response in the following way: - -```go -func (a *FooAuthorizer) Authorize(ctx context.Context, attrs authorizer.Attributes) (authorizer.Decision, string, error) { - // ...authorization logic that leads to a conditional response - conditionSet := authorizer.NewConditionSet(fooCondition, barCondition) - return authorizer.NewConditionalDecision(ctx, a, conditionSet) -} -``` - -Why force use of such a helper function? The reason is, that the -`AuthorizeWithConditionalSupport` top-level function injects a -ConditionsEnforcer into the context, and then `NewConditionalDecision` registers -the given ConditionSet into the ConditionsEnforcer from the context. Users -cannot access the enforcer directly, but only through these two helper -functions, which helps manage and protect the surface area of this. If an -authorizer tries to return a conditional decision to a context that was not -initialized through AuthorizeWithConditionalSupport (or if the feature gate is -disabled), `NewConditionalDecision` fails closed with NoOpinion instead, which -means that new Authorizers are backwards-compatible with old Authorize callers -at the code level. - -TODO(luxas): Change this to propose another Authorizer interface instead, with upcasting. - -In any case, the returned ConditionsEnforcer can either be: - -1) evaluated, given complete data, into the same decisions that the authorizer -chain would have returned immediately, if the authorizers had access to the -complete data up front, or -2) serialized, for the purpose of `(Self)SubjectAccessReview`. Each output -ConditionSet represents the conditional or unconditional output of one -authorizer in the authorizer chain. - -```go -package authorizer - -// ConditionsEnforcer is the conditional output from a chain of authorizers. -// In order to reach a definite/unconditional decision that determines whether -// to allow the request to go through or not, ConditionData needs to be provided. -type ConditionsEnforcer interface { - // EnforceConditions evaluates the ordered authorization chain against - // concrete data to reach a final Allow/Deny/NoOpinion decision. - EnforceConditions(ctx context.Context, data ConditionData) (Decision, string, error) - - // OrderedConditionSets walks the authorizer chain until an unconditional - // authorizer response is got, and outputs all ordered ConditionSets that - // might/should be satisfied for a user. Used for introspection, e.g. (Self)SubjectAccessReview. - OrderedConditionSets(ctx context.Context) []*ConditionSet - - // WithBuiltinConditionsResolvers allows registering loosely-coupled, - // generic condition evaluators before enforcement. - WithBuiltinConditionsResolvers(builtinConditionsResolvers ...BuiltinConditionsResolver) ConditionsEnforcer -} -``` - -In pseudo-code, the WithAuthorization HTTP filter functions as follows: - -```go -// Call the Authorizer chain with support for conditional authorization -decision, reason, conditionsEnforcer, err := authorizer.AuthorizeWithConditionalSupport(ctx, attributes, a) - -if decision == authorizer.DecisionConditionalAllow { - // Store the ConditionsEnforcer in the request context, so that the - // AuthorizationConditionsEnforcer admission controller has access to - // the conditions later for enforcement. - ctx = request.WithConditionalAuthorizationContext(ctx, conditionsEnforcer) - req = req.WithContext(ctx) -} - -if decision == authorizer.DecisionAllow || - decision == authorizer.DecisionConditionalAllow { - handler.ServeHTTP(w, req) - return -} -responsewriters.Forbidden(ctx, attributes, w, req, reason, s) -return -``` - -The pseudo-code of the `AuthorizationConditionsEnforcer` admission controller is -as follows: - -```go -func (c *ConditionalAuthorizationEnforcer) Handles(operation admission.Operation) bool { - return c.featureEnabled -} - -// ConditionalAuthorizationEnforcer is a Validating Admission Controller -func (c *ConditionalAuthorizationEnforcer) Validate(ctx context.Context, a admission.Attributes, o admission.ObjectInterfaces) error { - // Acquire the attached enforcer from the context - enforcer, ok := request.ConditionalAuthorizationContextFrom(ctx) - if !ok { - return nil // Unconstrained request, allow to go throughi - } - - // Build the conditions data from the admission attributes - conditionsData := conditionsDataFrom(a) - - // Use the returned enforcer to evaluate the authorization chain - // with all available data. Use the builtin CEL evaluator if possible. - decision, reason, err := enforcer. - WithBuiltinConditionsResolvers(c.builtinConditionsResolvers...). - EnforceConditions(ctx, conditionsData) - - // Conditions evaluated to Allow, let the request proceed - if decision == authorizer.DecisionAllow { - return nil - } - // Return 403 if conditional authorization chain came to a negative conclusion - return apierrors.NewForbidden(groupResource, name, responsewriters.ForbiddenStatusError(attrs, reason)) -``` - -In a later section, a concrete visualization of the request flow is shown. - ### Computing a concrete decision from a ConditionSet -How should a ConditionsEvaluator evaluate the conditions in the given set? The +How should a `ConditionSetEvaluator` evaluate the conditions in the given set? The process is two-fold: 1. Evaluate each condition function to a boolean value, or error 2. Compute the individual truth values of the conditions, along with their - desired effect into an aggregate, unconditional decision - (Allow/Deny/NoOpinion) at the authorizer level, according to the following + desired effect into an aggregate, concrete decision + (`Allow`/`Deny`/`NoOpinion`) at the authorizer level, according to the following logic: If there is at least one condition with `effect=Deny` that evaluates to true, @@ -838,10 +789,28 @@ true, return `Allow`. Any `effect=Allow` condition that evaluates to an error is ignored. If no `effect=Allow` condition evaluates to true, return `NoOpinion`. +![How a decision is computed from an evaluated ConditionSet](images/conditionset-evaluation.png) + +One quite tricky technical detail about partial evaluation is the +short-circuiting of e.g. the common `&&` and `||` operators, especially with +regards to errors. Clearly, `false && ` can be simplified to `false`. +However, ` && false` can either be `false` or ``, if evaluating +`` can produce an error. Thus are the `&&` and `||` operators **not** +commutative. + +The authorizer contract is such that the authorizer *should* only return a set +of conditions that *could* evaluate to `Allow`. Returning a set of conditions +that always evaluate to `NoOpinion` or `Deny` is a waste of resources. +Concretely, the authorizer should not return conditions of form +` && false` with `Allow` effect, as such conditions are either `false` +or `` and thus never contribute to an `Allow` decision. However, the same +pruning cannot be done for `effect=Deny` or `effect=NoOpinion` conditions, as an +evaluation error would trigger fail-closed short circuiting to `Deny` or `NoOpinion`. + ### Computing a concrete decision from a conditional authorization chain -It is now known how to evaluate a single ConditionSet together with the -`ConditionsData` into a single, aggregate Allow/Deny/NoOpinion decision, the +It is now known how to evaluate a *single* `ConditionSet` together with the +`ConditionsData` into a single, aggregate concrete decision, the same decision that the authorizer would have immediately returned, if it had direct access to the `ConditionsData`. Next, we discuss the semantics of multiple authorizers chained after each other (i.e. the @@ -849,60 +818,66 @@ multiple authorizers chained after each other (i.e. the authorizer), in the light of conditional authorization. To begin with, it is good to state that the semantics of the existing modes -Allow, Deny and NoOpinion do not change. Whenever a NoOpinion is returned by an -authorizer, it is ignored by the union authorizer, just like it had not been in -the chain in the first place. Notably, both before and after this proposal, an -authorizer returning NoOpinion is ignored even though it returns an error. Thus -must any safety-critical errors be turned into Deny decisions if failing closed -is needed. - -Likewise, a chain with the prefix `NoOpinion, …, NoOpinion, Allow` still -short-circuits and returns an unconditional Allow, without any conditional -authorization. Vice versa for a chain with the prefix -`NoOpinion, …, NoOpinion, Deny` \=\> Deny. - -Now, in the introduction it was mentioned that with this proposal, two new -[authorizer.Decision](https://pkg.go.dev/k8s.io/apiserver/pkg/authorization/authorizer#Decision) -types are added, namely `ConditionalAllow` or `ConditionalDeny`. - -A ConditionSet with at least one Allow effect condition induces the decision -`ConditionalAllow`, no matter how many other Deny or NoOpinion effect conditions -there are in the same set. `ConditionalAllow` thus means “a ConditionSet with a -possibility to evaluate to Allow, given the missing data”. This matters, as it -was concluded in the beginning that the API server should only spend resources -decoding the request body etc. on requests that have a *chance of becoming -authorized*. It is worth pointing out that a ConditionalAllow ConditionSet can -end up evaluating to any of the Allow/Deny/NoOpinion decisions, as per the logic -in the previous section. - -In contrast, `ConditionalDeny` is returned for all other ConditionSets, namely -those where there are no conditions with the Allow effect, only conditions with -effect NoOpinion or Deny. A ConditionalDeny ConditionSet can end up evaluating -to either Deny or NoOpinion, as per the logic in the previous section. - -Such an authorizer might be useful in the very beginning of the chain, to make -sure e.g. that “it is never possible for non-admins to enable DRA adminAccess in -request payloads”. This KEP is thus a generalization of the DRA AdminAccess KEP, -through authorization, which might or might not be user-editable (in contrast to -ValidatingAdmissionPolicies which can be dynamically removed by users). - -However, what happens to the union authorizer semantics when and after a -`ConditionalAllow` or `ConditionalDeny` response is seen? - -There are two main options: - -1. **Lazy Evaluation**: When seeing a `ConditionalAllow`\-equivalent response, - short circuit the union authorization process BUT add any authorizers later - in the chain to the ConditionsEnforcer for later consideration, if this first - `ConditionalAllow` ended up producing a `NoOpinion` response when evaluated. - The whole chain is thus eventually considered if (and only if) needed. This - mode is shown in the picture below. -2. **Eager Evaluation**: The authorization chain is walked until some - unconditional decision is reached, or the end of the chain is reached. All - ordered ConditionSets are passed with the request and evaluated in order by - the admission controller. If some of the earliest ConditionSets in the chain - end up being `Allow` or `Deny`, later authorizers’ ConditionSets are ignored - and thus computed in vain. +`Allow`, `Deny` and `NoOpinion` do not change. Whenever a `NoOpinion` is +returned by an authorizer, that decision is ignored (even if an error is +returned), and the next authorizer in the chain is consulted. Thus must any +safety-critical errors be turned into `Deny` decisions if failing closed is +needed. A chain with the decision prefix `NoOpinion, …, NoOpinion, Allow` still +short-circuits and returns a concrete `Allow`. Vice versa for a chain with the +prefix `NoOpinion, …, NoOpinion, Deny` => `Deny`. + +A `ConditionSet` with at least one `effect=Allow` condition is considered a +"conditional allow". The union authorizer short-circuits when seeing such a +decision in a "lazy" way, as now the request *can become allowed*. Crucially, +however, the rest of the authorizer chain (that was not yet considered) must be +saved in the Decision for later, lazy evaluation, in case the conditional allow +would evaluate into a `NoOpinion`. + +The `WithAuthorization` HTTP filter makes sure that the current request supports +conditional authorization, and that the decision can become allowed (that is, +the decision is a concrete or conditional allow) before proceeding.[^4] The returned +`Decision` is propagated using the context to the validating admission phase, +just like `UserInfo` and `RequestInfo` is today. + +[^4]: Note that this also holds for `kube-apiserver` forwarding requests to an +aggregated API server. This is safe to do, even if the conditions do not +propagate directly from `kube-apiserver` to the aggregated API server, as the +aggregated API server must be configured to use `kube-apiserver` as a webhook +authorizer, and thus get the same conditions for enforcement through that route. + +However, if no `effect=Allow` condition is present in a returned `ConditionSet`, +the decision is considered like a "conditional deny". In this case, later +authorizers need to be consulted to find out if this request can become +authorized. If a later authorizer returns a concrete `Deny`, clearly the request +cannot become allowed; it is either conditionally or concretely denied.[^5] However, +if a later authorizer returns a concrete `Allow`, the request is conditionally +allowed; if the deny conditions in the beginning all evaluate to `false`, that +first authorizer would have returned `NoOpinion`, and the next authorizer then +returns a concrete `Allow`. + +[^5]: Note: As we fold `ConditionalDeny + Deny` into Deny directly, the audit log just +tells that one of the authorizers (in this case, the latter) denied it, not +necessarily the first one. + +The DRA AdminAccess feature is a good example of a feature that could be +modelled as an authorizer in the beginning of the chain that returns `NoOpinion` +for most requests, but conditional denies for some requests (namely, creates and +updates of `ResourceClaim(Template)s`). In contrast to using +`ValidatingAdmissionPolicy` for that purpose, an authorizer does not need to +allow for its policies to be deleted. In contrast to the existing DRA +AdminAccess implementation at the storage layer, the condition shows up in +`SubjectAccessReviews`. + +What is proposed in this KEP is thus **lazy evaluation**, that allows a request +to proceed to admission whenever a conditional allow is seen at authorization +time, and the rest of the chain is lazily evaluated only if needed (if the +previous authorizer evaluated to a concrete `NoOpinion`). + +Another considered alternative is the eager variant, that would call each +authorizer in the chain already in the authorization stage, until a concrete +`Allow` or `Deny` is reached. However, this approach might be wasteful and call +later authorizers, whose response is never considered in the evaluation phase in +admission. Thus is the lazy approach proposed. ![How conditions are propagated in the API server request chain](images/request-conditions-flow.png) @@ -910,58 +885,47 @@ A high-level picture of the request flow with conditional authorization. The chain of authorizer decisions can be lazily evaluated, such that the third authorizer in the picture is not evaluated directly in the authorization stage, as already the second one might yield an Allow. However, in admission, if the -second authorizer ends up evaluating to NoOpinion, the third authorizer is -evaluated (and in this example evaluates first ConditionalAllow, then Allow). - -Initially, before the SIG Auth Deep Dive (Sept 4, 2025) on this topic, the idea -was to go with option 2, eager evaluation. However, in the meeting, it seemed -like the consensus was that there is concern about the eager method being too -inefficient. Therefore, the current proposal is to utilize option 1, lazy -evaluation, as shown in the picture. This has been implemented in the -[proof of concept](https://github.com/kubernetes/kubernetes/compare/master...luxas:kubernetes:conditional_authz_4?expand=1). - -The following diagram shows the various outcomes of when ConditionSet evaluation -is performed in a chain (regardless of which of the two options above are -chosen). In this picture, NoOpinion results are mostly omitted to yield a -clearer picture. The key takeaways are: - -1. If there is not at least one Concrete or Conditional Allow in the chain, the - request cannot become allowed, and is thus rejected early (in the - `WithAuthorization` filter) -2. Whenever a ConditionalAllow is encountered, that ConditionSet will be - evaluated in the admission controller, and only if that ConditionSet’s - decision ends up being NoOpinion, later authorizers are consulted (which can - yield any response) -3. A ConditionalDeny before a Concrete Allow yields a Conditional Allow: the - request is only allowed if the ConditionalDeny ConditionSet ends up *not* - denying the request with higher priority than the later Concrete Allow - authorizer. - -Note: As we fold `ConditionalDeny + Deny` into Deny directly, the audit log just -tells that one of the authorizers (in this case, the latter) denied it, not -necessarily the first one. +second authorizer ends up evaluating to `NoOpinion`, the third authorizer is +evaluated (and in this example evaluates first to a conditional allow, then +concrete `Allow`). + +A diagram to summarize what the request chain looks like: ![How various authorizer chain decisions are computed into one](images/authorizer-chain-computation.png) +### `AuthorizationConditionsEnforcer` admission controller + +Whenever the `ConditionalAuthorization` feature gate is enabled in the API +server, there is an `AuthorizationConditionsEnforcer` validating admission +controller whose job it is to evaluate the conditions, and enforce the decision +that the condition set evaluated to. If the `ConditionalAuthorization` feature +gate is enabled, but the user disables the `AuthorizationConditionsEnforcer` +admission controller, `k8s.io/apiserver` options validation errors, and thus +won't the API server start in this setting. This is critical, as there must not +be a case where the feature would be enabled, but there would be no enforcement. + +The validating admission controller operates on a fully-mutated request object +just like other validating admission controllers, by design. + ### Changes to (Self)SubjectAccessReview One of the core goals of this KEP is to make it easier also for users subject to authorization policies that span authorization and admission understand what policies they are subject to. This in practice means that the conditions should -be shown in (Self)SubjectAccessReview (SAR) responses, as is logical when the +be shown in `(Self)SubjectAccessReview` (SAR) responses, as is logical when the authorizer response area grows. However, there are some details to pay attention to: - The same request might be subject to multiple conditional authorizers in the - authorizer chain. Consider a chain of two authorizers both returning - ConditionalAllow. The first authorizer’s returned ConditionSet will have + authorizer chain. Consider a chain of two authorizers both returning a + `Conditional` decision. The first authorizer's returned `ConditionSet` will have precedence over the second, and thus cannot be merged into one. Instead, the - SubjectAccessReview response must retain the ordering of the two - ConditionSets, so the user can reason about them. -- Consider a two-authorizer chain, where the first returns ConditionalDeny, and - the second (unconditional/concrete) Allow (or Deny) for that matter. Thus, SAR - structure should expose whether a later authorizer indeed produced a concrete - response. + `SubjectAccessReview` response must retain the ordering of the two + `ConditionSets`, so the user can reason about them. +- Consider a two-authorizer chain, where the first returns a `Conditional` + decision, and the second `Allow`. As the `Conditional` response could evaluate + to `Deny` (if that there are `effect=Deny` conditions), the structure must be + able to model both conditional and concrete decisions. The SubjectAccessReviewStatus API is thus augmented with the following field and types: @@ -993,6 +957,11 @@ type SubjectAccessReviewConditionSet struct { // Only relevant if the conditions are non-null. FailureMode string `json:"failureMode,omitempty"` + // AuthorizerName specifies the authorizer name, unique within the server, + // that authored these conditions. This is used by kube-apiserver to correlate + // conditions that need to be evaluated through the AuthorizationConditionsReview API. + AuthorizerName string `json:"authorizerName"` + // Conditions is an unordered set of conditions that should be evaluated // against admission attributes, to determine // whether this authorizer allows the request. @@ -1025,52 +994,21 @@ const ( `Status.ConditionsChain != null`. Old implementers that do not recognize `Status.ConditionsChain` will just safely assume it was a `NoOpinion`. -### Changes to the Webhook Authorizer - -Thanks to the `SubjectAccessReviewStatus` API change, the webhook authorizer -supports conditional responses in a straightforward manner. The webhook checks -if the feature is enabled, `Status.ConditionsChain` is set, there is only one -ConditionSet returned (there is a 1:1 mapping between an authorizer and a -ConditionSet), that conditional authorization is configured (as below), as per -the following code snippet: +### Supporting webhooks through the `AuthorizationConditionsReview` API -```go -gotConditionalResponse := len(r.Status.ConditionsChain) != 0 && utilfeature.DefaultFeatureGate.Enabled(genericfeatures.ConditionalAuthorization) - -switch { -case r.Status.Denied && r.Status.Allowed: - return authorizer.DecisionDeny, r.Status.Reason, fmt.Errorf("webhook subject access review returned both allow and deny response") -case r.Status.Denied && gotConditionalResponse: - return authorizer.DecisionDeny, r.Status.Reason, fmt.Errorf("webhook subject access review returned both deny and conditional response") -case r.Status.Allowed && gotConditionalResponse: - return w.decisionOnError, r.Status.Reason, fmt.Errorf("webhook subject access review returned both allow and conditional response") -case r.Status.Denied: - return authorizer.DecisionDeny, r.Status.Reason, nil -case r.Status.Allowed: - return authorizer.DecisionAllow, r.Status.Reason, nil -case gotConditionalResponse: - if !w.supportsConditionalResponse { - return w.decisionOnError, "", fmt.Errorf("webhook authorizer does not support conditional responses") - } - - if len(r.Status.ConditionsChain) > 1 { - return authorizer.DecisionNoOpinion, "", fmt.Errorf("webhook authorizer does not support multiple conditions chains") - } - conditionSet, err := toAuthorizerConditions(r.Status.ConditionsChain[0]) - if err != nil { - return authorizer.DecisionNoOpinion, "", err - } - return authorizer.NewConditionalDecision(ctx, w, conditionSet) -default: - return authorizer.DecisionNoOpinion, r.Status.Reason, nil -} -``` +The webhook authorizer is augmented to support webhooks returning an ordered +list (chain) of authorizer decisions, not just one decision. Supporting multiple +returned decisions is required e.g. by aggregated API servers, that consult +`kube-apiserver` as a webhook, which in turn can return more than one +conditional decision. Note that aggregate API servers' evaluation is thus always +in practice eager (not lazy). This is considered acceptable though. -The more interesting aspect is, how should the webhook authorizer evaluate the -conditions? In order to do this, two changes are proposed. We propose a new -`AuthorizationConditionsReview` API, slightly similar to `AdmissionReview`, but -for this use-case as the interface between the conditional authorizer and -Kubernetes: +How should the webhook authorizer evaluate potentially opaque conditions? Unless +the API server can evaluate the conditions returned by the webhook natively, +another webhook needs to be made. To facilitate this, a new +`AuthorizationConditionsReview` API, very similar to `AdmissionReview` is added. +Because `kube-apiserver` acts as a webhook server, `kube-apiserver` must also +serve this API. A sketch of the new API is as follows: ```go // AuthorizationConditionsReview describes a request to evaluate authorization conditions. @@ -1086,56 +1024,51 @@ type AuthorizationConditionsReview struct { // AuthorizationConditionsRequest describes the authorization conditions request. type AuthorizationConditionsRequest struct { - // Operation is the operation being performed. This may be different than the - // operation requested. e.g. a patch can result in either a CREATE or UPDATE. - Operation admissionv1.Operation `json:"operation"` - // Object is the object from the incoming request. - // +optional - Object runtime.RawExtension `json:"object,omitempty"` - // OldObject is the existing object. Only populated for DELETE and UPDATE requests. - // +optional - OldObject runtime.RawExtension `json:"oldObject,omitempty"` - // Options is the operation option structure of the operation being performed. - // e.g. `meta.k8s.io/v1.DeleteOptions` or `meta.k8s.io/v1.CreateOptions`. - // This may be different than the options the caller provided, - // e.g. for a patch request the performed Operation might be a CREATE, - // in which case the Options will a `meta.k8s.io/v1.CreateOptions` even - // though the caller provided `meta.k8s.io/v1.PatchOptions`. - // +optional - Options runtime.RawExtension `json:"options,omitempty"` + // TODO: Do we want UID like AdmissionReview here? I guess we don't need it. + + // AuthorizerName describes the authorizer that authored these conditions, + // so that a webhook implementation which could have multiple underlying + // authorizers, in turn, knows which one to use for evaluation. + AuthorizerName string `json:"authorizerName"` // ConditionSet is the condition set that the authorizer returned for // the request in the authorization phase. ConditionSet authorizationv1.SubjectAccessReviewConditionSet `json:"conditionSet,omitempty"` + + // All fields present in the ConditionsData interface, not exhaustively listed + // in this KEP for brevity. } // AuthorizationConditionsResponse describes an authorization conditions response. type AuthorizationConditionsResponse struct { + // TODO: Do we want UID like AdmissionReview here? I guess we don't need it. + // Allowed indicates whether or not the request is authorized according to // the authorization conditions. // Mutually exclusive with Denied. // Allowed=false and Denied=false means that the authorizer has no NoOpinion on the request. - Allowed bool `json:"allowed" protobuf:"varint,2,opt,name=allowed"` + Allowed bool `json:"allowed"` // Denied indicates whether or not the request is denied according to the authorization conditions. // Mutually exclusive with Allowed. // Allowed=false and Denied=false means that the authorizer has no NoOpinion on the request. - Denied bool `json:"denied,omitempty" protobuf:"varint,3,opt,name=denied"` + Denied bool `json:"denied,omitempty"` - // Result contains extra details into why an authorization conditions request was denied. - // This field IS NOT consulted in any way if "Allowed" is "true". - // TODO: Might want to use the more authorizer-native Reason and EvaluationError fields - // +optional - Result *metav1.Status `json:"status,omitempty" protobuf:"bytes,4,opt,name=status"` + // Reason describes a reason for the concrete decision + Reason string `json:"reason,omitempty"` + + // EvaluationError describes a possible error that happened during evaluation. + EvaluationError string `json:"evaluationError,omitempty"` - // TODO: Add AuditAnnotations and Warnings as in AdmissionReview? + // TODO: Add AuditAnnotations and/or Warnings as in AdmissionReview? } ``` -This means that the authorizer can implement an endpoint which resolves its -(potentially opaque to Kubernetes) conditions the way it wants. Where the -`AuthorizationConditionsReview` is, is defined in a new field on -`AuthorizationConfiguration`: +In the aggregated API server case, there is automatic configuration to evaluate +the conditions through a +`POST /apis/authorization.k8s.io/v1alpha1/admissionconditionsreviews`. +User-configured webhooks supply the URL to call the evaluation endpoint through +a dedicated context in the supplied kubeconfig: ```yaml apiVersion: apiserver.config.k8s.io/v1 @@ -1157,17 +1090,20 @@ authorizers: kubeConfigFile: /kube-system-authz-webhook.yaml ``` -Finally, recall that the webhook authorizer by default caches requests. If any -authorizer utilizes caching, the conditions must be cached as well, such that -there is no difference between cached and uncached authorization responses. -Also, recall that if Kubernetes supports evaluating the conditions in-process -with a builtin ConditionsEvaluator, e.g. the CEL one, a +Finally, recall that the webhook authorizer by default caches requests. Any +authorizer that utilizes caching, must also cache all conditions of the +`Conditional` decision. If that advice is followed, evaluation is always done +against a specific revision of the authorizers' underlying policy store, without +the authorizer needing to implement snapshot reads. + +If Kubernetes supports evaluating the conditions in-process with a builtin +ConditionsEvaluator, e.g. the proposed CEL one, a `AuthorizationConditionsReview` webhook is not needed, as per the following table: | Webhooks during phase: | Authorization response not cached | Authorization response cached | | :---- | :---- | :---- | -| Condition Type Not Supported by Builtin Condition Evaluators | Authorize() \+ EvaluateConditions() | EvaluateConditions() | +| Condition Type Not Supported by Builtin Condition Evaluators | Authorize() + EvaluateConditions() | EvaluateConditions() | | Condition Type Supported | Authorize() | Neither | ### Node authorizer @@ -1177,11 +1113,11 @@ authorization and admission part that always were designed and evolved in tandem. This proposal generalizes this; now the Node authorizer could return conditional responses with type e.g. `k8s.io/node-authorizer` and either transparent conditions written in CEL, if possible, or opaque ones, e.g. -`condition: ‘{“condition”: “require-pod-node-name”, “nodeName”: “foo”}’`. +`condition: '{"condition": "require-pod-node-name", "nodeName": "foo"}'`. In the opaque condition case, the Node authorizer will get a callback on its then-added `EvaluateConditions()` function to, even in native code, enforce e.g. -a Pod’s spec.nodeName actually matches what it should be. If this were the case, +a Pod's `spec.nodeName` actually matches what it should be. If this were the case, all logic is centralized in the authorizer, instead of being split between two components, and SubjectAccessReview shows what policies apply. @@ -1191,51 +1127,51 @@ Conditional authorization is available when all of the following criteria are me - The authorizer implementation supports conditions, which can be done in two ways: - In-tree authorizer: through implementing the - `authorizer.ConditionsEvaluator` interface, and + `authorizer.ConditionSetEvaluator` interface, and - Webhook authorizer: when needed, responds with a non-null `.status.conditionsChain` array, along with `.status.allowed=false` and `.status.denied=false`. - The `ConditionalAuthorization` feature gate is enabled AND the `AuthorizationConditionsEnforcer` admission plugin is enabled - The `AuthorizationConditionsEnforcer` plugin could be enabled by default, as - it returns `Handles=false` for every request, if the feature gate is not - also enabled. + it returns `Handles=`. - However, to avoid the problematic configuration of a server being set up with the feature gate enabled, but not the admission plugin, the proposal is that AdmissionOptions.Validate will error, such that the API server can never start up in such a misconfigured state. - The SubjectAccessReview's `apiGroup`, `resource` and `apiVersion` selects exactly one GVR, which is served by the current API server, and the verb is - one of `create`, `update`, `patch`, `delete`. + one of `create`, `update`, `patch`, `delete`. In the future, one could + consider conditional authorization for reads as well (see below). | Version skew matrix | Old API server | New API server | | :---- | :---- | :---- | | Old webhook | Never conditions | Conditions never returned from webhook, ok. | -| New webhook | Conditions might be returned, but API server ignores them \=\> NoOpinion | Conditions respected | +| New webhook | Conditions might be returned, but API server ignores them => NoOpinion | Conditions respected | ### Compound Authorization for Connectible Resources After the move to WebSockets ([KEP 4006](https://github.com/kubernetes/enhancements/tree/master/keps/sig-api-machinery/4006-transition-spdy-to-websockets#proposal-synthetic-rbac-create-authorization-check)), -connect requests are initially authorized as e.g. “get pods/exec”, which can -lead someone thinking that giving “get \*” gives only read-only access, and not +connect requests are initially authorized as e.g. `get pods/exec`, which can +lead someone thinking that giving `get *` gives only read-only access, and not also write access. To mitigate this privilege-escalation vector, when the `AuthorizePodWebsocketUpgradeCreatePermission` feature gate is enabled (beta and on by default in 1.35), currently `pods/attach`, `pods/exec` and `pods/portforward` are subject to compound authorization, where effectively it -is made sure that the requestor also is authorized to “create” the corresponding +is made sure that the requestor also is authorized to `create` the corresponding connectible resource. However, this check is not added (yet at least) for `pods/proxy`, `services/proxy` and `nodes/proxy`. In relation to these two workstreams, it is proposed that we uniformly and -generally require the requestor to have the create verb using compound +generally require the requestor to have the `create` verb using compound authorization in the `ConnectResource` handler, whenever the feature gate (or a new one) is enabled. This compound check would support conditional authorization as well, with `operation == CONNECT`, `object == null`, `oldobject == null` but `options != null`. Such a check thus becomes a generalization of [KEP-2862: Fine-grained Kubelet API Authorization](https://github.com/kubernetes/enhancements/blob/master/keps/sig-node/2862-fine-grained-kubelet-authz/README.md), as now an authorizer can say “allow lucas to create nodes/proxy, but only when -`options.path == ‘/configz’`”, or any other such policy that the administrator +`options.path == "/configz"`”, or any other such policy that the administrator might fancy. ### Compound Authorization for update/patch → create @@ -1243,7 +1179,7 @@ might fancy. If an update or patch turns into a create, the API server performs compound authorization to make sure the requestor also has the privilege to create the resource. This KEP also applies conditional authorization support for this -compound authorization check, for consistency. +compound authorization check. ### Constrained Impersonation through Conditional Authorization @@ -1261,14 +1197,14 @@ Consider the example of policy (in pseudo-code) is of form: ```cel -request.userInfo.username == ‘lucas’ && -request.verb == ‘impersonate’ && -request.resource == ‘nodes’ && -request.apiGroup == ‘authentication.k8s.io’ && -request.name == ‘foo’ && -impersonatedRequest.apiGroup == ‘’ && -impersonatedRequest.resource == ‘pods’ && -impersonatedRequest.verb == ‘get’ +request.userInfo.username == "lucas" && +request.verb == "impersonate" && +request.resource == "nodes" && +request.apiGroup == "authentication.k8s.io" && +request.name == "foo" && +impersonatedRequest.apiGroup == "" && +impersonatedRequest.resource == "pods" && +impersonatedRequest.verb == "get" ``` The first five ANDed expressions can be evaluated to true directly, just based @@ -1284,28 +1220,161 @@ status: conditionsChain: - conditionsSet: - type: k8s.io/authorization-cel - id: “lucas-only-impersonate-node-get-pods” + id: "lucas-only-impersonate-node-get-pods" condition: | - impersonatedRequest.apiGroup == ‘’ && - impersonatedRequest.resource == ‘pods’ && - impersonatedRequest.verb == ‘get’” + impersonatedRequest.apiGroup == "" && + impersonatedRequest.resource == "pods" && + impersonatedRequest.verb == "get" effect: Allow ``` Now, the impersonation filter can evaluate the condition, either through the -builtin CEL evaluator (if applicable), or by calling the Authorizer’s -EvaluateConditions endpoint with the missing data (the information about the +builtin CEL evaluator (if applicable), or by calling the Authorizer's +`EvaluateConditions` endpoint with the missing data (the information about the impersonated request). -This approach avoids adding synthetic verbs like `impersonate-on:user-info:list` -to Kubernetes authorization, just for some specific, hard-coded expressions. +This approach supports the use-cases of the existing Constrained Impersonation +KEP, but also other types of expressions, for instance: + +- "A ServiceAccount `ai-agent-foo` can only impersonate user `lucas` if *it also + at the same time impersonates group* `ai-agent-foo`" + - This allows *attenuating* what an impersonator can do through generic deny + rules for the given additional group. +- "ServiceAccount `ai-agent-foo` can impersonate `alice` only for read requests, + but the same ServiceAccount can impersonate `bob` for any action" + - The current Constrained Impersonation KEP does not allow distinguishing what + the impersonator can do for what target user. + +### Future addition sketch: Conditional Reads + +Together with the +[Authorize with Selectors KEP](https://github.com/kubernetes/enhancements/blob/2871b58880f5629f948b4ef50bffec0d1a677eeb/keps/sig-auth/4601-authorize-with-selectors/README.md), +it becomes possible to provide policy authors to write unified policies across +both authorization and admission, and **reads and writes**, at least whenever +operating on field-selectable fields. A practical example would be “allow user +Alice to perform *any verb* on PersistentVolumes, *but only when +spec.storageClassName is "dev"*” (assuming storageClassName is/would become +field-selectable). + +Consider that before this KEP, a user might need to use two or even three +different paradigms to protect both data and metadata across reads and writes: + +![Read/write and data/metadata consistency before this KEP](images/authorize-with-selectors-before.png) + +But after this KEP, it is possible to use a unified paradigm for all types: + +![Read/write and data/metadata consistency after this KEP](images/authorize-with-selectors-after.png) + +For a practical example of what this unified interface can look like, take a +look at Lucas' proof of concept at +[upbound/kubernetes-cedar-authorizer](https://github.com/upbound/kubernetes-cedar-authorizer), +in particular the +[getting started guide](https://github.com/upbound/kubernetes-cedar-authorizer/blob/main/docs/GETTING_STARTED.md). +If this project proves generally useful, it can be donated to a fitting place in +the CNCF ecosystem (e.g. `kubernetes-sigs` or Cedar, which is now a CNCF Sandbox +project). For more detailed information about the project and the philosophy +behind it, take a look at +[Lucas' Master's thesis](https://github.com/luxas/research/blob/main/msc_thesis.pdf) +(written at Aalto University). + +A concrete example of how a future version of Kubernetes could integrate this +would be that authorizers are allowed to return conditions also on read +requests. The syntax of the condition must be a +[generalized selector](github.com/kubernetes/kubernetes/issues/128154) (most +likely a subset of CEL) of a well-known condition type. Note that extraction of +values from an object does not need to change, we can limit expressiveness to +labels and existing simple JSONpath-based extractors. + +Consider the following fictional authorizer chain decisions: + +- Authorizer 1: + - `effect=Deny` condition: `metadata.labels.owner != "lucas"` + - `effect=NoOpinion` condition: `metadata.labels.visible != "true"` + - `effect=Allow` condition: `object.type == "k8s.io/basic-auth"` + - `effect=Allow` condition: `metadata.labels.public == "true"` +- Authorizer 2: + - `effect=Allow` condition: `metadata.labels.env == "dev"` + +These conditions turn into the following boolean predicate: + +```cel +isAuthorized(object) = !(object.metadata.labels.owner != "lucas") AND ( + ( + !(object.metadata.labels.visible != "true") AND + ( + (object.type == "k8s.io/basic-auth") OR + (object.metadata.labels.public == "true") + ) + ) OR + ( + (object.metadata.labels.env == "dev") + ) +) +``` + +which could also be written in Disjunctive Normal Form (DNF) as follows: + +```cel +isAuthorized(object) = ( + (object.metadata.labels.owner == "lucas") AND + (object.metadata.labels.visible == "true") AND + (object.type == "k8s.io/basic-auth") +) OR +( + (object.metadata.labels.owner == "lucas") AND + (object.metadata.labels.visible == "true") AND + (object.metadata.labels.public == "true") +) OR +( + (object.metadata.labels.owner == "lucas") AND + (object.metadata.labels.env == "dev") +) +``` + +Note that the authorizer 1's `effect=Deny` condition must evaluate to false for +an object to be matched. However, the `effect=NoOpinion` is scoped only to +authorizer 1, if an object was such that `metadata.labels.owner == "lucas"` and +`metadata.labels.env == "dev"`, it is authorized by authorizer 2, even though +`metadata.labels.visible == "false"` (which yields a `NoOpinion` response from +authorizer 1). + +The API server must make sure that every object that is returned from storage is +authorized. The API server cannot know what objects are in storage (as one of +the authorization requirements is to be stateless with regards to the data +store), but it can prove something stronger: for every possible `object` that +could be constructed, that matches the given `objectSelected(object)` selector, +`isAuthorized(object)` is true. + +This equation can be resolved with a SAT/SMT solver as follows: + +```text +(forall object: objectSelected(object) => isAuthorized(object)) == TRUE +=== (forall object: (not objectSelected(object)) OR isAuthorized(object)) == TRUE +=== (exists object: objectSelected(object) AND (not isAuthorized(object))) == FALSE +``` + +A client who wants to ask "show me all instances of resource X that I can see" +can thus perform a SelfSAR, construct a selector `objectSelected` which is equal +to `isAuthorized` (and thus correct-by-construction), and thus see all objects +that it can, without having to know its permissions up front, or issue `n` +different requests (e.g. for each namespace). This would work for +controllers/watches as well. Even more conveniently, the API server could +provide the client with a mode that "downgrades" an unconstrained request (e.g. +`GET /api/v1/pods`) by the server adding the selector that the client is +authorized to see. + +However, note that Conditional Reads are NOT part of this proposal right now, +another KEP is expected for that eventually (if people like the idea), but I +felt it is good to mention the sketch up-front here so that reviewers have an +idea how conditional authorization can become usable for both reads and writes, +eventually. ## Built-in CEL conditions evaluator The most logical alternative for Kubernetes to provide as a builtin primitive is a CEL conditions evaluator. Such a conditions evaluator could re-use most of the CEL infrastructure that Kubernetes already has, and provide a unified model for -those that already are familiar with ValidatingAdmissionPolicies. This means +those that already are familiar with `ValidatingAdmissionPolicies`. This means that a wide variety of authorizers could author CEL-typed conditions, and let the API server evaluate them without a need for a second webhook. RBAC++ could use this as well. @@ -1313,6 +1382,28 @@ use this as well. However, this evaluator could evolve with distinct maturity guarantees than the core conditional authorization feature. +The observant reader noticed that `Decision.Evaluate` takes a list of +`BuiltinConditionSetEvaluator` as input, which allow evaluating the conditions +in-process, without potentially sending webhooks back to the authorizer. A +`BuiltinConditionSetEvaluator` is just a normal `ConditionSetEvaluator`, but +scoped to just a set of supported types: + +```go +package authorizer + +type BuiltinConditionSetEvaluator interface { + ConditionSetEvaluator + // SupportedConditionTypes defines the condition types that the builtin + // evaluator can assign truth values to in-process. + SupportedConditionTypes() sets.Set[ConditionType] +} +``` + +To avoid having to parse the AST from a string (which is relatively expensive), +there could be an optimized mode in which the CEL evaluator can evaluate a +binary-encoded AST directly, to get performance on par with e.g. +`ValidatingAdmissionPolicy`, which also executes pre-compiled CEL programs. + ## Open Questions - What are quantitative performance requirements for this feature? @@ -1329,24 +1420,15 @@ core conditional authorization feature. and use that for comms, similar to ServiceAccount issuing and KMS implementations? -## Alternatives Considered, Detailed Decision Log - -### Let the API server indicate that it supports conditional authorization - -In order for the API server to indicate to a webhook authorizer that it supports -conditional authorization, the API server would add the -`kubernetes.io/ConditionalAuthorizationFeature=true` annotation. +## TODOs -However, this is not needed with the current setup; if an old apiserver receives -conditions from a new authorizer, it will just ignore the conditions and treat -the SAR as a NoOpinion, as it should. +- TODO: Expand on this point of conditional vs composite authorization +- TODO: Add more wording on ReferenceGrants +- TODO: One might be able to infer the admission-time operation through whether + only the request object is available (create), or both the stored and request + object is (update)? -### Resolve the conditions until a concrete response in the union authorizer - -In the beginning of writing this proposal, we were thinking that the union -authorizer would keep resolving conditions until an unconditional response is -found. However, we later opted for the lazy approach, due to performance -concerns with the former approach. +## Alternatives Considered ### Expose all conditions in AdmissionReview, and have admission plugins “acknowledge” the conditions @@ -1355,7 +1437,7 @@ support also condition types that are not built into Kubernetes. Thus does there need to be some way to evaluate the not-natively-supported conditions in the admission phase. The most logical way, would be to add some fields to AdmissionReview, and thus let admission webhooks let the API server know -(*besides* the AdmissionReview’s primary response.allowed field) what the +(*besides* the AdmissionReview's primary response.allowed field) what the conditions evaluated to. However, this turned out to be unnecessarily complicated in practice, when @@ -1370,19 +1452,19 @@ much simpler for both users and implementers to understand, so probably the latter. However, then, how can one know that a certain admission webhook has the right -to acknowledge a certain authorizer’s conditions? What if the conditional +to acknowledge a certain authorizer's conditions? What if the conditional authorizer is controlled by the cloud provider or infrastructure team, but a (malicious) user dynamically registers its own admission webhook that wants to -acknowledge the conditions from the cloud provider’s authorizer? What happens if +acknowledge the conditions from the cloud provider's authorizer? What happens if there are multiple (dynamically registered) admission webhooks that evaluated the same input data (conditions+request body) to two different outputs? These questions led us to realize that the safest initial plan is to require a 1:1 mapping between the authorizer (registered through -`AuthorizationConfiguration`) and the authorizer’s condition enforcer. As normal +`AuthorizationConfiguration`) and the authorizer's condition enforcer. As normal users anyways cannot dynamically register authorizers, there is no need to dynamically register authorizer condition enforcers either for normal users. -Thus is the most logical place to register the authorizer’s condition enforcer, +Thus is the most logical place to register the authorizer's condition enforcer, in the same place the authorizer is defined in `AuthorizationConfiguration`. In other words, only the authorizer itself can evaluate its own conditions in @@ -1423,3 +1505,21 @@ the API server would decode before authorization takes place. In addition, would this make the authorization process state-dependent (if the selector would need to apply to both the request and stored object), something which is considered an explicit anti-pattern. + +## Appendix A: Further resources + +- SIG Auth meeting June 4, 2025: + [meeting notes](https://docs.google.com/document/d/1woLGRoONE3EBVx-wTb4pvp4CI7tmLZ6lS26VTbosLKM/edit?tab=t.0#heading=h.2p3xwolypqkm), + [video](https://youtu.be/Clg-rz9qlUA?si=Ay4Dddd-iJRnC89R), + [slides](https://speakerdeck.com/luxas/conditional-authorization-for-kubernetes-sig-auth-presentation) +- SIG Auth Deep Dive on Conditional Authorization Sept 4, 2025: + [meeting notes](https://docs.google.com/document/d/1woLGRoONE3EBVx-wTb4pvp4CI7tmLZ6lS26VTbosLKM/edit?tab=t.0#heading=h.147ygvibasgh), + [video](https://zoom.us/rec/share/24DwlfWfrP7UZEMtkpk1XvpNP_sQuRrE7FQxKoJDRRbJ-vJTBarrEermV2-XSD5p.LSzKv2wS797xMYTs), + [slides](https://speakerdeck.com/luxas/conditional-authorization-sig-auth-deep-dive) +- KubeCon Atlanta talk Nov 13, 2025: + [slides](https://speakerdeck.com/luxas/tools-and-strategies-for-making-the-most-of-kubernetes-access-control), + video TODO +- Proof of Concept Policy Author Interface implementation: [upbound/kubernetes-cedar-authorizer](https://github.com/upbound/kubernetes-cedar-authorizer) +- Proof of Concept Kubernetes implementation: + [luxas/conditional_authz_4](https://github.com/kubernetes/kubernetes/compare/master...luxas:kubernetes:conditional_authz_4?expand=1) + branch diff --git a/keps/sig-auth/5681-conditional-authorization/images/conditionset-evaluation.png b/keps/sig-auth/5681-conditional-authorization/images/conditionset-evaluation.png new file mode 100644 index 0000000000000000000000000000000000000000..374dd670cb88923fc0c4bee32017cb69a687a606 GIT binary patch literal 197782 zcmd>m^;?u(7cM3W3Zj(2pdyHXfRsoh-92m8)41V)t+%OG%yKF2kErEB6`;&soip0aaizh4bOv5!{Wx_>+bnm2j)8Fg@A$j9u zbu-m136lo4^UNRU!sg1`}r;_0rj7sUO#&O 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Subject: [PATCH 6/7] update toc and move the CEL chapter --- .../5681-conditional-authorization/README.md | 115 +++++++++--------- 1 file changed, 59 insertions(+), 56 deletions(-) diff --git a/keps/sig-auth/5681-conditional-authorization/README.md b/keps/sig-auth/5681-conditional-authorization/README.md index 3608175a3d3..7bcb07c774e 100644 --- a/keps/sig-auth/5681-conditional-authorization/README.md +++ b/keps/sig-auth/5681-conditional-authorization/README.md @@ -4,36 +4,41 @@ - Contributor: Micah Hausler, AWS -- [Summary](#summary) - - [Initial Design Resources](#initial-design-resources) +- [Abstract](#abstract) + - [Example Use Cases](#example-use-cases) - [Goals](#goals) - [Non-goals](#non-goals) - - [Requirements](#requirements) - - [Example Use Cases](#example-use-cases) -- [Proposal](#proposal) - - [Introduction to partial evaluation and why it is useful to solve this problem](#introduction-to-partial-evaluation-and-why-it-is-useful-to-solve-this-problem) +- [Background and Major Considered Alternatives](#background-and-major-considered-alternatives) + - [Why not just give authorizers access to request and stored objects?](#why-not-just-give-authorizers-access-to-request-and-stored-objects) + - [Why not just use ValidatingAdmissionPolicies?](#why-not-just-use-validatingadmissionpolicies) + - [What is partial evaluation?](#what-is-partial-evaluation) - [Why propagate the conditions with the request?](#why-propagate-the-conditions-with-the-request) + - [Glossary](#glossary) +- [Proposal](#proposal) + - [Technical Requirements](#technical-requirements) + - [Core interface changes](#core-interface-changes) - [Condition and ConditionSet data model](#condition-and-conditionset-data-model) - - [Conditional Authorizer interfaces and the AuthorizationConditionsEnforcer admission controller](#conditional-authorizer-interfaces-and-the-authorizationconditionsenforcer-admission-controller) - [Computing a concrete decision from a ConditionSet](#computing-a-concrete-decision-from-a-conditionset) - [Computing a concrete decision from a conditional authorization chain](#computing-a-concrete-decision-from-a-conditional-authorization-chain) - - [Changes to (Self)SubjectAccessReview](#changes-to-selfsubjectaccessreview) - - [Changes to the Webhook Authorizer](#changes-to-the-webhook-authorizer) + - [AuthorizationConditionsEnforcer admission controller](#authorizationconditionsenforcer-admission-controller) + - [Changes to (Self)SubjectAccessReview](#changes-to-selfsubjectaccessreview) + - [Supporting webhooks through the AuthorizationConditionsReview API](#supporting-webhooks-through-the-authorizationconditionsreview-api) + - [Built-in CEL conditions evaluator](#built-in-cel-conditions-evaluator) - [Node authorizer](#node-authorizer) - [Feature availability and version skew](#feature-availability-and-version-skew) - [Compound Authorization for Connectible Resources](#compound-authorization-for-connectible-resources) - [Compound Authorization for update/patch → create](#compound-authorization-for-updatepatch--create) - [Constrained Impersonation through Conditional Authorization](#constrained-impersonation-through-conditional-authorization) -- [Built-in CEL conditions evaluator](#built-in-cel-conditions-evaluator) + - [Future addition sketch: Conditional Reads](#future-addition-sketch-conditional-reads) - [Open Questions](#open-questions) -- [Alternatives Considered, Detailed Decision Log](#alternatives-considered-detailed-decision-log) - - [Let the API server indicate that it supports conditional authorization](#let-the-api-server-indicate-that-it-supports-conditional-authorization) - - [Resolve the conditions until a concrete response in the union authorizer](#resolve-the-conditions-until-a-concrete-response-in-the-union-authorizer) +- [TODOs](#todos) +- [Alternatives Considered](#alternatives-considered) - [Expose all conditions in AdmissionReview, and have admission plugins “acknowledge” the conditions](#expose-all-conditions-in-admissionreview-and-have-admission-plugins-acknowledge-the-conditions) - [Propagate an API server-generated request UID to both authorization and admission](#propagate-an-api-server-generated-request-uid-to-both-authorization-and-admission) - [Only one ConditionSet exposed as part of SubjectAccessReview status](#only-one-conditionset-exposed-as-part-of-subjectaccessreview-status) - [Require the client to annotate its write request with field or label selectors](#require-the-client-to-annotate-its-write-request-with-field-or-label-selectors) - [Extract label and field selectors from the request and current object in etcd, and supply that to the authorization process](#extract-label-and-field-selectors-from-the-request-and-current-object-in-etcd-and-supply-that-to-the-authorization-process) +- [Appendix A: Further resources](#appendix-a-further-resources) ## Abstract @@ -69,18 +74,15 @@ evaluate conditions. This KEP aims to provide generalized framework for multiple previous features, KEPs and issues: -- - [DRA AdminAccess](https://github.com/kubernetes/enhancements/tree/master/keps/sig-auth/5018-dra-adminaccess): +- [DRA AdminAccess](https://github.com/kubernetes/enhancements/tree/master/keps/sig-auth/5018-dra-adminaccess): "Deny creates and updates to `ResourceClaim`s with `.spec.devices[*].adminAccess=true`, unless `namespaceObject.metadata.labels["resource.kubernetes.io/admin-access"] == "true"`" -- - [Fine-grained Kubelet API Authorization](https://github.com/kubernetes/enhancements/blob/master/keps/sig-node/2862-fine-grained-kubelet-authz/README.md): +- [Fine-grained Kubelet API Authorization](https://github.com/kubernetes/enhancements/blob/master/keps/sig-node/2862-fine-grained-kubelet-authz/README.md): "Allow a node agent to proxy requests to nodes through the API server, but only to scrape readonly information from a path starting with `/pods/`, not to exec into pods" -- - [Constrained Impersonation](https://github.com/kubernetes/enhancements/tree/master/keps/sig-auth/5284-constrained-impersonation): +- [Constrained Impersonation](https://github.com/kubernetes/enhancements/tree/master/keps/sig-auth/5284-constrained-impersonation): "Allow node agent `csi-driver-foo` to only impersonate the node it is running on to `get pods`" - Requiring presence of certain labels or fields: [#44703](https://github.com/kubernetes/kubernetes/issues/44703) @@ -185,7 +187,7 @@ reason: just propagating the objects to each authorizer, and the authorizer might spend more time examining the object earlier. -### Why not just use ValidatingAdmissionPolicies? +### Why not just use `ValidatingAdmissionPolicies`? The observant reader might notice that some of the [use cases](#example-use-cases) can already be achieved today with the @@ -907,7 +909,7 @@ be a case where the feature would be enabled, but there would be no enforcement. The validating admission controller operates on a fully-mutated request object just like other validating admission controllers, by design. -### Changes to (Self)SubjectAccessReview +### Changes to `(Self)SubjectAccessReview` One of the core goals of this KEP is to make it easier also for users subject to authorization policies that span authorization and admission understand what @@ -1106,6 +1108,42 @@ table: | Condition Type Not Supported by Builtin Condition Evaluators | Authorize() + EvaluateConditions() | EvaluateConditions() | | Condition Type Supported | Authorize() | Neither | +### Built-in CEL conditions evaluator + +The most logical alternative for Kubernetes to provide as a builtin primitive is +a CEL conditions evaluator. Such a conditions evaluator could re-use most of the +CEL infrastructure that Kubernetes already has, and provide a unified model for +those that already are familiar with `ValidatingAdmissionPolicies`. This means +that a wide variety of authorizers could author CEL-typed conditions, and let +the API server evaluate them without a need for a second webhook. RBAC++ could +use this as well. + +However, this evaluator could evolve with distinct maturity guarantees than the +core conditional authorization feature. + +The observant reader noticed that `Decision.Evaluate` takes a list of +`BuiltinConditionSetEvaluator` as input, which allow evaluating the conditions +in-process, without potentially sending webhooks back to the authorizer. A +`BuiltinConditionSetEvaluator` is just a normal `ConditionSetEvaluator`, but +scoped to just a set of supported types: + +```go +package authorizer + +type BuiltinConditionSetEvaluator interface { + ConditionSetEvaluator + // SupportedConditionTypes defines the condition types that the builtin + // evaluator can assign truth values to in-process. + SupportedConditionTypes() sets.Set[ConditionType] +} +``` + +To avoid having to parse the AST from a string (which is relatively expensive), +there could be an optimized mode in which the CEL evaluator can evaluate a +binary-encoded AST directly, to get performance on par with e.g. +`ValidatingAdmissionPolicy`, which also executes pre-compiled CEL programs. + + ### Node authorizer The Node authorizer was the first conditional authorizer in that it had both an @@ -1369,41 +1407,6 @@ felt it is good to mention the sketch up-front here so that reviewers have an idea how conditional authorization can become usable for both reads and writes, eventually. -## Built-in CEL conditions evaluator - -The most logical alternative for Kubernetes to provide as a builtin primitive is -a CEL conditions evaluator. Such a conditions evaluator could re-use most of the -CEL infrastructure that Kubernetes already has, and provide a unified model for -those that already are familiar with `ValidatingAdmissionPolicies`. This means -that a wide variety of authorizers could author CEL-typed conditions, and let -the API server evaluate them without a need for a second webhook. RBAC++ could -use this as well. - -However, this evaluator could evolve with distinct maturity guarantees than the -core conditional authorization feature. - -The observant reader noticed that `Decision.Evaluate` takes a list of -`BuiltinConditionSetEvaluator` as input, which allow evaluating the conditions -in-process, without potentially sending webhooks back to the authorizer. A -`BuiltinConditionSetEvaluator` is just a normal `ConditionSetEvaluator`, but -scoped to just a set of supported types: - -```go -package authorizer - -type BuiltinConditionSetEvaluator interface { - ConditionSetEvaluator - // SupportedConditionTypes defines the condition types that the builtin - // evaluator can assign truth values to in-process. - SupportedConditionTypes() sets.Set[ConditionType] -} -``` - -To avoid having to parse the AST from a string (which is relatively expensive), -there could be an optimized mode in which the CEL evaluator can evaluate a -binary-encoded AST directly, to get performance on par with e.g. -`ValidatingAdmissionPolicy`, which also executes pre-compiled CEL programs. - ## Open Questions - What are quantitative performance requirements for this feature? From 9d7081e744515d2a29e621b9189403c814d76eec Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Lucas=20K=C3=A4ldstr=C3=B6m?= Date: Thu, 27 Nov 2025 10:56:56 +0200 Subject: [PATCH 7/7] Moved the conditional reads info to the appendix --- .../5681-conditional-authorization/README.md | 247 +++++++++--------- .../images/authorizer-chain-computation.md | 2 + 2 files changed, 127 insertions(+), 122 deletions(-) diff --git a/keps/sig-auth/5681-conditional-authorization/README.md b/keps/sig-auth/5681-conditional-authorization/README.md index 7bcb07c774e..af22c64c06c 100644 --- a/keps/sig-auth/5681-conditional-authorization/README.md +++ b/keps/sig-auth/5681-conditional-authorization/README.md @@ -29,7 +29,6 @@ - [Compound Authorization for Connectible Resources](#compound-authorization-for-connectible-resources) - [Compound Authorization for update/patch → create](#compound-authorization-for-updatepatch--create) - [Constrained Impersonation through Conditional Authorization](#constrained-impersonation-through-conditional-authorization) - - [Future addition sketch: Conditional Reads](#future-addition-sketch-conditional-reads) - [Open Questions](#open-questions) - [TODOs](#todos) - [Alternatives Considered](#alternatives-considered) @@ -39,6 +38,7 @@ - [Require the client to annotate its write request with field or label selectors](#require-the-client-to-annotate-its-write-request-with-field-or-label-selectors) - [Extract label and field selectors from the request and current object in etcd, and supply that to the authorization process](#extract-label-and-field-selectors-from-the-request-and-current-object-in-etcd-and-supply-that-to-the-authorization-process) - [Appendix A: Further resources](#appendix-a-further-resources) +- [Appendix B: Future addition sketch: Conditional Reads](#appendix-b-future-addition-sketch-conditional-reads) ## Abstract @@ -1283,7 +1283,130 @@ KEP, but also other types of expressions, for instance: - The current Constrained Impersonation KEP does not allow distinguishing what the impersonator can do for what target user. -### Future addition sketch: Conditional Reads +## Open Questions + +- What are quantitative performance requirements for this feature? + - Faster than a second webhook? On par with builtin, prebuilt VAP policies? +- How expressive do we let the CEL environment be? Should it e.g. include + `namespaceObject`? +- Do we need to configure conversion of native objects into some + specifically-requested version like VAP, or do we just use the raw object in + the admission controller? +- What are the most important metrics that should be added? +- Are there specific GVRs we don't want to let be conditionally authorized? +- If there is increasing communication between k8s and e.g. webhook authorizers, + would it be more performant to keep a bidirectional gRPC open at all times, + and use that for comms, similar to ServiceAccount issuing and KMS + implementations? + +## TODOs + +- TODO: Expand on this point of conditional vs composite authorization +- TODO: Add more wording on ReferenceGrants +- TODO: One might be able to infer the admission-time operation through whether + only the request object is available (create), or both the stored and request + object is (update)? + +## Alternatives Considered + +### Expose all conditions in AdmissionReview, and have admission plugins “acknowledge” the conditions + +The SIG Auth meeting of September 4, 2025 concluded that this feature should +support also condition types that are not built into Kubernetes. Thus does there +need to be some way to evaluate the not-natively-supported conditions in the +admission phase. The most logical way, would be to add some fields to +AdmissionReview, and thus let admission webhooks let the API server know +(*besides* the AdmissionReview's primary response.allowed field) what the +conditions evaluated to. + +However, this turned out to be unnecessarily complicated in practice, when +taking the idea further. Should all conditions from potentially every authorizer +in the chain be sent to every admission webhook? Probably not. + +Can an admission webhook choose to evaluate individual conditions of some +specific authorizer, or does the admission webhook need to evaluate all +conditions produced by a certain authorizer at once, returning the result of the +whole condition set according to the defined semantics? The latter solution is +much simpler for both users and implementers to understand, so probably the +latter. + +However, then, how can one know that a certain admission webhook has the right +to acknowledge a certain authorizer's conditions? What if the conditional +authorizer is controlled by the cloud provider or infrastructure team, but a +(malicious) user dynamically registers its own admission webhook that wants to +acknowledge the conditions from the cloud provider's authorizer? What happens if +there are multiple (dynamically registered) admission webhooks that evaluated +the same input data (conditions+request body) to two different outputs? + +These questions led us to realize that the safest initial plan is to require a +1:1 mapping between the authorizer (registered through +`AuthorizationConfiguration`) and the authorizer's condition enforcer. As normal +users anyways cannot dynamically register authorizers, there is no need to +dynamically register authorizer condition enforcers either for normal users. +Thus is the most logical place to register the authorizer's condition enforcer, +in the same place the authorizer is defined in `AuthorizationConfiguration`. + +In other words, only the authorizer itself can evaluate its own conditions in +the admission phase, and all at once only (as a set), not partially. + +### Propagate an API server-generated request UID to both authorization and admission + +This would have helped solve the atomicity concern, but it is not a full +long-term solution, as it still relies on people setting up webhooks. + +### Only one ConditionSet exposed as part of SubjectAccessReview status + +However, if only one condition set is exposed, it might be impossible for a user +to understand what conditions it is subject to for a given request through a +(Self/Local/Standard) SubjectAccessReview, as the first conditional response +might be just a “deny dangerous operations”-type of conditional response. + +The user should thus see all conditional allows and denies until there is an +unconditional response. + +### Require the client to annotate its write request with field or label selectors + +This would be a breaking change for clients, as whenever conditional authorizers +would hit production usage, every client would need to annotate its every +request with all selectors “just in case” some authorizer would make use of it, +to higher the chances of getting authorized. This could duplicate a fair amount +of the request data. + +The other problem is updates: would the selector apply only to the request +object, only to the stored one, or both at once. + +### Extract label and field selectors from the request and current object in etcd, and supply that to the authorization process + +If the client was not required to send all this data, but the API server would +decode the object to extract “just” label and field selectors, the DoS vector +occurs, where a malicious party could send huge requests with bogus data, that +the API server would decode before authorization takes place. In addition, would +this make the authorization process state-dependent (if the selector would need +to apply to both the request and stored object), something which is considered +an explicit anti-pattern. + +## Appendix A: Further resources + +- SIG Auth meeting June 4, 2025: + [meeting notes](https://docs.google.com/document/d/1woLGRoONE3EBVx-wTb4pvp4CI7tmLZ6lS26VTbosLKM/edit?tab=t.0#heading=h.2p3xwolypqkm), + [video](https://youtu.be/Clg-rz9qlUA?si=Ay4Dddd-iJRnC89R), + [slides](https://speakerdeck.com/luxas/conditional-authorization-for-kubernetes-sig-auth-presentation) +- SIG Auth Deep Dive on Conditional Authorization Sept 4, 2025: + [meeting notes](https://docs.google.com/document/d/1woLGRoONE3EBVx-wTb4pvp4CI7tmLZ6lS26VTbosLKM/edit?tab=t.0#heading=h.147ygvibasgh), + [video](https://zoom.us/rec/share/24DwlfWfrP7UZEMtkpk1XvpNP_sQuRrE7FQxKoJDRRbJ-vJTBarrEermV2-XSD5p.LSzKv2wS797xMYTs), + [slides](https://speakerdeck.com/luxas/conditional-authorization-sig-auth-deep-dive) +- KubeCon Atlanta talk Nov 13, 2025: + [slides](https://speakerdeck.com/luxas/tools-and-strategies-for-making-the-most-of-kubernetes-access-control), + [video](https://youtu.be/JBM0PRyDaPs?si=kACoiZj_iOHQGSrY) +- Proof of Concept Policy Author Interface implementation: [upbound/kubernetes-cedar-authorizer](https://github.com/upbound/kubernetes-cedar-authorizer) +- Proof of Concept Kubernetes implementation: + [luxas/conditional_authz_4](https://github.com/kubernetes/kubernetes/compare/master...luxas:kubernetes:conditional_authz_4?expand=1) + branch +- Lucas + [Master's thesis](https://github.com/luxas/research/blob/main/msc_thesis.pdf) + with detailed design information + +## Appendix B: Future addition sketch: Conditional Reads Together with the [Authorize with Selectors KEP](https://github.com/kubernetes/enhancements/blob/2871b58880f5629f948b4ef50bffec0d1a677eeb/keps/sig-auth/4601-authorize-with-selectors/README.md), @@ -1406,123 +1529,3 @@ another KEP is expected for that eventually (if people like the idea), but I felt it is good to mention the sketch up-front here so that reviewers have an idea how conditional authorization can become usable for both reads and writes, eventually. - -## Open Questions - -- What are quantitative performance requirements for this feature? - - Faster than a second webhook? On par with builtin, prebuilt VAP policies? -- How expressive do we let the CEL environment be? Should it e.g. include - `namespaceObject`? -- Do we need to configure conversion of native objects into some - specifically-requested version like VAP, or do we just use the raw object in - the admission controller? -- What are the most important metrics that should be added? -- Are there specific GVRs we don't want to let be conditionally authorized? -- If there is increasing communication between k8s and e.g. webhook authorizers, - would it be more performant to keep a bidirectional gRPC open at all times, - and use that for comms, similar to ServiceAccount issuing and KMS - implementations? - -## TODOs - -- TODO: Expand on this point of conditional vs composite authorization -- TODO: Add more wording on ReferenceGrants -- TODO: One might be able to infer the admission-time operation through whether - only the request object is available (create), or both the stored and request - object is (update)? - -## Alternatives Considered - -### Expose all conditions in AdmissionReview, and have admission plugins “acknowledge” the conditions - -The SIG Auth meeting of September 4, 2025 concluded that this feature should -support also condition types that are not built into Kubernetes. Thus does there -need to be some way to evaluate the not-natively-supported conditions in the -admission phase. The most logical way, would be to add some fields to -AdmissionReview, and thus let admission webhooks let the API server know -(*besides* the AdmissionReview's primary response.allowed field) what the -conditions evaluated to. - -However, this turned out to be unnecessarily complicated in practice, when -taking the idea further. Should all conditions from potentially every authorizer -in the chain be sent to every admission webhook? Probably not. - -Can an admission webhook choose to evaluate individual conditions of some -specific authorizer, or does the admission webhook need to evaluate all -conditions produced by a certain authorizer at once, returning the result of the -whole condition set according to the defined semantics? The latter solution is -much simpler for both users and implementers to understand, so probably the -latter. - -However, then, how can one know that a certain admission webhook has the right -to acknowledge a certain authorizer's conditions? What if the conditional -authorizer is controlled by the cloud provider or infrastructure team, but a -(malicious) user dynamically registers its own admission webhook that wants to -acknowledge the conditions from the cloud provider's authorizer? What happens if -there are multiple (dynamically registered) admission webhooks that evaluated -the same input data (conditions+request body) to two different outputs? - -These questions led us to realize that the safest initial plan is to require a -1:1 mapping between the authorizer (registered through -`AuthorizationConfiguration`) and the authorizer's condition enforcer. As normal -users anyways cannot dynamically register authorizers, there is no need to -dynamically register authorizer condition enforcers either for normal users. -Thus is the most logical place to register the authorizer's condition enforcer, -in the same place the authorizer is defined in `AuthorizationConfiguration`. - -In other words, only the authorizer itself can evaluate its own conditions in -the admission phase, and all at once only (as a set), not partially. - -### Propagate an API server-generated request UID to both authorization and admission - -This would have helped solve the atomicity concern, but it is not a full -long-term solution, as it still relies on people setting up webhooks. - -### Only one ConditionSet exposed as part of SubjectAccessReview status - -However, if only one condition set is exposed, it might be impossible for a user -to understand what conditions it is subject to for a given request through a -(Self/Local/Standard) SubjectAccessReview, as the first conditional response -might be just a “deny dangerous operations”-type of conditional response. - -The user should thus see all conditional allows and denies until there is an -unconditional response. - -### Require the client to annotate its write request with field or label selectors - -This would be a breaking change for clients, as whenever conditional authorizers -would hit production usage, every client would need to annotate its every -request with all selectors “just in case” some authorizer would make use of it, -to higher the chances of getting authorized. This could duplicate a fair amount -of the request data. - -The other problem is updates: would the selector apply only to the request -object, only to the stored one, or both at once. - -### Extract label and field selectors from the request and current object in etcd, and supply that to the authorization process - -If the client was not required to send all this data, but the API server would -decode the object to extract “just” label and field selectors, the DoS vector -occurs, where a malicious party could send huge requests with bogus data, that -the API server would decode before authorization takes place. In addition, would -this make the authorization process state-dependent (if the selector would need -to apply to both the request and stored object), something which is considered -an explicit anti-pattern. - -## Appendix A: Further resources - -- SIG Auth meeting June 4, 2025: - [meeting notes](https://docs.google.com/document/d/1woLGRoONE3EBVx-wTb4pvp4CI7tmLZ6lS26VTbosLKM/edit?tab=t.0#heading=h.2p3xwolypqkm), - [video](https://youtu.be/Clg-rz9qlUA?si=Ay4Dddd-iJRnC89R), - [slides](https://speakerdeck.com/luxas/conditional-authorization-for-kubernetes-sig-auth-presentation) -- SIG Auth Deep Dive on Conditional Authorization Sept 4, 2025: - [meeting notes](https://docs.google.com/document/d/1woLGRoONE3EBVx-wTb4pvp4CI7tmLZ6lS26VTbosLKM/edit?tab=t.0#heading=h.147ygvibasgh), - [video](https://zoom.us/rec/share/24DwlfWfrP7UZEMtkpk1XvpNP_sQuRrE7FQxKoJDRRbJ-vJTBarrEermV2-XSD5p.LSzKv2wS797xMYTs), - [slides](https://speakerdeck.com/luxas/conditional-authorization-sig-auth-deep-dive) -- KubeCon Atlanta talk Nov 13, 2025: - [slides](https://speakerdeck.com/luxas/tools-and-strategies-for-making-the-most-of-kubernetes-access-control), - video TODO -- Proof of Concept Policy Author Interface implementation: [upbound/kubernetes-cedar-authorizer](https://github.com/upbound/kubernetes-cedar-authorizer) -- Proof of Concept Kubernetes implementation: - [luxas/conditional_authz_4](https://github.com/kubernetes/kubernetes/compare/master...luxas:kubernetes:conditional_authz_4?expand=1) - branch diff --git a/keps/sig-auth/5681-conditional-authorization/images/authorizer-chain-computation.md b/keps/sig-auth/5681-conditional-authorization/images/authorizer-chain-computation.md index dcd75c572dd..a2d106bf1c4 100644 --- a/keps/sig-auth/5681-conditional-authorization/images/authorizer-chain-computation.md +++ b/keps/sig-auth/5681-conditional-authorization/images/authorizer-chain-computation.md @@ -4,6 +4,8 @@ This diagram was rendered on https://www.mermaidchart.com/play, not using the native GitHub mermaid renderer so that the image was more visually clear. Mermaid layout configs are not respected by GitHub. + + ```mermaid ---

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