Universal Evasion Framework

A modular cybersecurity research framework that demonstrates polymorphic payload generation, fileless execution, AI-driven evasion, and dynamic C2 communication — designed for ethical use in controlled environments.

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Project Overview

The Universal Evasion Framework showcases how modern adversarial techniques can bypass static detection using:

• Polymorphic Payload Generation
• AI-based Code Obfuscation
• In-memory Execution (Fileless)
• Simulated C2 Communication
• Test Suite for Validation

This project is created for educational and research purposes only, especially for those exploring EDR/AV evasion techniques in ethical hacking and red teaming labs.

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Module Breakdown

Module	Description
payload_generator/generator.py	Generates randomized Python payloads with unique signatures
payload_generator/payload.py	Resulting payload: basic "print" with randomized string
memory_loader/loader.py	Loads and executes payload directly from memory (fileless-style)
ai_evasion/adaptive_ai.py	Obfuscates payload using simple AI-driven transformation
payload_generator/payload_ai.py	Obfuscated payload generated from adaptive_ai.py
c2_manager/c2.py	Simulates a basic C2 (Command & Control) connection using sockets
evaluation_suite/tester.py	(Optional) Placeholder for automated detection bypass testing
tests/	Add your test scripts here

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How to Run

Requirements: Python 3.x, netcat (nc), Linux environment

🔹 1. Generate a Polymorphic Payload

python3 payload_generator/generator.py

🔹 2. Run the Payload Normally

python3 payload_generator/payload.py

🔹 3. Run the Payload In-Memory (Fileless)

python3 memory_loader/loader.py

🔹 4. AI-Driven Payload Mutation

python3 ai_evasion/adaptive_ai.py
python3 payload_generator/payload_ai.py

🔹 5. Simulated C2 Communication

Start Listener (Attacker side):

nc -lvnp 4444

Connect from Client (Payload side):

python3 c2_manager/c2.py

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Project Structure

universal-evasion-framework/
├── ai_evasion/
│   └── adaptive_ai.py
├── c2_manager/
│   └── c2.py
├── docs/
├── evaluation_suite/
│   └── tester.py
├── memory_loader/
│   └── loader.py
├── payload_generator/
│   ├── generator.py
│   ├── payload.py
│   └── payload_ai.py
├── tests/
└── README.md

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Disclaimer

This project is strictly for educational and ethical research purposes only.

• Do not use this framework on unauthorized systems or networks.
• The developer is not responsible for any misuse, damage, or legal consequences.

By using this project, you agree to use it only in controlled environments for ethical purposes.

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Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change.

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License

This project may be licensed under a custom license depending on distribution. Please check with the developer or maintainer before public use or redistribution.