Thank you for your interest in contributing to MalPython. This is an educational cybersecurity research repository documenting Python supply chain attack techniques.
- Attack Vectors: New documentation on Python supply chain attack methods
- Defense Mechanisms: Mitigation strategies and detection techniques
- Code Examples: Well-documented proof-of-concept code for educational purposes
- Documentation: Improvements to explanations, references, and clarity
- References: Academic papers, talks, and industry publications relevant to Python security
- Ensure Educational Purpose: Your contribution should advance understanding of attack/defense mechanisms
- Verify Legal Compliance: Contributions must not encourage illegal activity
- Check Licensing: You agree to license your contribution under MIT with attribution to this repository
- No Active Exploits: Do not contribute code actively being used in real-world attacks
- Documentation Quality: Include clear explanations of what, why, and how
-
Fork the repository on GitHub
-
Create a feature branch:
git checkout -b feature/your-contribution -
Add your changes following the repository structure
-
Document thoroughly:
- Add or update README files in affected directories
- Include references to relevant papers/talks
- Explain the attack vector or mitigation clearly
- Link to related code examples
-
Commit with clear messages:
Add [attack/defense/docs]: brief description Longer explanation of the contribution References: links to relevant papers/talks -
Open a pull request with:
- Clear title and description
- Explanation of educational value
- Any relevant security considerations
- References to related research
- Python Code: Follow PEP 8 style guidelines
- Comments: Explain the WHY, not the what (code should be self-documenting)
- Security Warnings: Add clear warnings if code could be misused
- Testing: Include steps to safely test the code example
- Dependencies: Minimize external dependencies; document all requirements
- Markdown: Use clear, well-structured markdown
- Clarity: Write for security professionals, not just experts in Python
- Examples: Include practical examples of how/why an attack works
- Defenses: When documenting attacks, include detection/mitigation strategies
- References: Link to research, papers, and talks
- Disclaimers: Include educational/legal disclaimers where appropriate
When adding a new attack vector example:
attacks/[category]/[example-name]/
├── README.md # Detailed explanation
├── requirements.txt # Python dependencies
├── exploit.py # Main proof-of-concept
├── setup.py # If packaged as example
└── notes.md # Additional technical details
Include in your README:
- Overview: What is this attack vector?
- Prerequisites: What must be true for this to work?
- Mechanism: How does the attack work?
- Impact: What can an attacker achieve?
- Detection: How can defenders detect this?
- Mitigation: How can this be prevented?
- References: Links to research
- Be respectful of other contributors
- Focus on technical discussion, not personal attacks
- Remember: this is educational research, not a how-to guide for malice
- Assume good intent but discuss impact carefully
- Open an issue for questions about contribution process
- Use discussions for security-related feedback
- Email maintainer for concerns about content appropriateness
By contributing to this repository, you agree that:
- Your contributions are your original work
- You grant permission to license them under MIT
- You understand this is educational research only
- Your contributions comply with applicable laws
- You are not contributing code from active exploits or security vulnerabilities