[Snyk] Security upgrade python from 3.11-slim to 3.14.0rc1-slim

[rubenfiszel]

Snyk has created this PR to fix 2 vulnerabilities in the dockerfile dependencies of this project.

Keeping your Docker base image up-to-date means you’ll benefit from security fixes in the latest version of your chosen image.

Snyk changed the following file(s):

• lsp/Dockerfile

We recommend upgrading to python:3.14.0rc1-slim, as this image has only 43 known vulnerabilities. To do this, merge this pull request, then verify your application still works as expected.

Vulnerabilities that will be fixed with an upgrade:

	Issue	Score
	Integer Overflow or Wraparound SNYK-DEBIAN12-ZLIB-6008963	500
	Directory Traversal SNYK-DEBIAN12-PAM-10378969	400
	Directory Traversal SNYK-DEBIAN12-PAM-10378969	400
	Directory Traversal SNYK-DEBIAN12-PAM-10378969	400
	Directory Traversal SNYK-DEBIAN12-PAM-10378969	400

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Important

• Check the changes in this PR to ensure they won't cause issues with your project.
• Max score is 1000. Note that the real score may have changed since the PR was raised.
• This PR was automatically created by Snyk using the credentials of a real user.

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Learn how to fix vulnerabilities with free interactive lessons:

🦉 Directory Traversal

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Important

Upgrade Python base image in lsp/Dockerfile to 3.14.0rc1-slim to fix security vulnerabilities.

• Dockerfile Update:
  • Upgrade base image in lsp/Dockerfile from python:3.11-slim to python:3.14.0rc1-slim to address security vulnerabilities.
  • Fixes vulnerabilities: Integer Overflow in zlib and Directory Traversal in PAM.

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Pull Request Review Analysis

Todo List:

• Read and analyze the changed Dockerfile
• Assess security benefits and risks of the upgrade
• Evaluate Python version compatibility implications
• Review potential performance considerations
• Provide comprehensive feedback with specific suggestions
• Include testing/reproduction instructions

Analysis of Changes:
The change is straightforward: upgrading the Python base image from python:3.11-slim to python:3.14.0rc1-slim in lsp/Dockerfile:1. This Dockerfile builds a Language Server Protocol (LSP) service that provides multi-language support including Python (via Pyright), TypeScript/JavaScript (Deno), Go (gopls), and diagnostic services.

Security Assessment

✅ Benefits:

• Fixes 2 vulnerabilities with scores 500 (Integer Overflow in zlib) and 400 (Directory Traversal in PAM)
• Reduces total known vulnerabilities from an unspecified number to 43
• Updates underlying system packages in the base image

⚠️ Risks & Concerns:

• Release Candidate Usage: Python 3.14.0rc1 is a release candidate, not a stable release. This introduces inherent stability risks for production use
• Breaking Changes: Python 3.14 may have backward compatibility issues with existing dependencies
• Limited Testing: RC versions have less community testing and may contain undiscovered bugs

Compatibility Assessment

Python Dependencies Analysis:
The LSP service uses many popular Python packages (45+ packages in Pipfile) including:

• Data Science: pandas, numpy, matplotlib, seaborn, polars
• Database: psycopg2-binary, pymongo, sqlalchemy
• Cloud: boto3, awscli, google-api-python-client
• Web: requests, urllib3, tornado
• Windmill-specific: wmill, wmill_pg

Compatibility Concerns:

• Some packages may not have tested compatibility with Python 3.14 RC
• Binary extensions (psycopg2-binary, numpy) may have compatibility issues
• The major version jump (3.11 → 3.14) introduces potential syntax and API changes

Performance Considerations

Potential Benefits:

• Python 3.14 includes performance improvements and optimizations
• Newer interpreter may provide faster execution for compute-intensive LSP operations
• Updated system libraries could improve overall container performance

Potential Risks:

• RC versions may have unoptimized code paths
• Compatibility shims for older code could impact performance
• Memory usage patterns may differ, affecting container resource requirements

Code Quality & Best Practices

Current Implementation Quality:

• Dockerfile follows multi-stage build pattern appropriately
• Uses slim base images to minimize attack surface
• Proper dependency management with pipenv
• Good separation of concerns with different language servers

Areas for Improvement:

1. Pin Exact Versions: Consider pinning exact package versions in Pipfile for reproducible builds
2. Health Checks: Add container health checks for better monitoring
3. Non-root User: Consider running processes as non-root user for additional security

Specific Recommendations

🚨 HIGH PRIORITY - Consider Alternative Approach:
Instead of upgrading to Python 3.14 RC, consider:

1. Python 3.13 Stable: Use python:3.13-slim which provides security updates without RC risks
2. LTS Version: Stick with python:3.12-slim (LTS) and address vulnerabilities through system package updates
3. Staged Rollout: Test this change in development/staging environments extensively before production

If Proceeding with 3.14 RC:

1. Add comprehensive integration tests
2. Monitor for dependency installation failures during build
3. Have rollback plan ready
4. Consider timeline - Python 3.14 final release is expected soon

Testing Instructions

To verify the LSP service functionality with this change:

Container Testing:
Build and run the updated LSP container locally, then test each language server endpoint by connecting to the Windmill development environment and verifying that code completion, error detection, and syntax highlighting work correctly for Python scripts in the script editor. Access the script editor, create new Python scripts using various packages from the Pipfile (pandas, numpy, requests, boto3), and confirm that Pyright provides proper IntelliSense, error reporting, and type checking. Also test Go and TypeScript/JavaScript LSP functionality to ensure the multi-language setup remains functional. The service should respond properly on all websocket endpoints (/ws/pyright, /ws/diagnostic, /ws/ruff, /ws/deno, /ws/go) and the health check endpoint should return "ok".

Final Recommendation

⚠️ RECOMMEND CAUTION: While this change addresses legitimate security vulnerabilities, using a Python release candidate in production introduces significant stability risks. Consider using Python 3.13 stable instead, or wait for Python 3.14 final release before proceeding.

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[ellipsis-dev]

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1. lsp/Dockerfile:1

• Draft comment:
  The base image is now using Python 3.14.0rc1-slim, which is a release candidate. Ensure that this version is fully compatible with your project before deploying to production, or consider using a stable release.
• Reason this comment was not posted:
  Comment did not seem useful. Confidence is useful = 30% <= threshold 50% The comment is about a dependency change, specifically the base image version. It advises caution about using a release candidate version, which is a valid concern. However, it asks the author to ensure compatibility, which violates the rule against asking for confirmation or verification. The comment could be rephrased to suggest using a stable release instead.

Workflow ID: wflow_gksSxKczo9PmlyUB

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