Contributing to the CoderClaw Threat Model

Contributing to the CoderClaw Threat Model

Thanks for helping make CoderClaw more secure. This threat model is a living document and we welcome contributions from anyone - you don’t need to be a security expert.

Ways to Contribute

Add a Threat

Spotted an attack vector or risk we haven’t covered? Open an issue on SeanHogg/coderClaw-trust and describe it in your own words. You don’t need to know any frameworks or fill in every field - just describe the scenario.

Helpful to include (but not required):

• The attack scenario and how it could be exploited
• Which parts of CoderClaw are affected (CLI, gateway, channels, ClawHub, MCP servers, etc.)
• How severe you think it is (low / medium / high / critical)
• Any links to related research, CVEs, or real-world examples

We’ll handle the ATLAS mapping, threat IDs, and risk assessment during review. If you want to include those details, great - but it’s not expected.

This is for adding to the threat model, not reporting live vulnerabilities. If you’ve found an exploitable vulnerability, see our Trust page for responsible disclosure instructions.

Suggest a Mitigation

Have an idea for how to address an existing threat? Open an issue or PR referencing the threat. Useful mitigations are specific and actionable - for example, “per-sender rate limiting of 10 messages/minute at the gateway” is better than “implement rate limiting.”

Propose an Attack Chain

Attack chains show how multiple threats combine into a realistic attack scenario. If you see a dangerous combination, describe the steps and how an attacker would chain them together. A short narrative of how the attack unfolds in practice is more valuable than a formal template.

Fix or Improve Existing Content

Typos, clarifications, outdated info, better examples - PRs welcome, no issue needed.

What We Use

MITRE ATLAS

This threat model is built on MITRE ATLAS (Adversarial Threat Landscape for AI Systems), a framework designed specifically for AI/ML threats like prompt injection, tool misuse, and agent exploitation. You don’t need to know ATLAS to contribute - we map submissions to the framework during review.

Threat IDs

Each threat gets an ID like T-EXEC-003. The categories are:

Code	Category
RECON	Reconnaissance - information gathering
ACCESS	Initial access - gaining entry
EXEC	Execution - running malicious actions
PERSIST	Persistence - maintaining access
EVADE	Defense evasion - avoiding detection
DISC	Discovery - learning about the environment
EXFIL	Exfiltration - stealing data
IMPACT	Impact - damage or disruption

IDs are assigned by maintainers during review. You don’t need to pick one.

Risk Levels

Level	Meaning
Critical	Full system compromise, or high likelihood + critical impact
High	Significant damage likely, or medium likelihood + critical impact
Medium	Moderate risk, or low likelihood + high impact
Low	Unlikely and limited impact

If you’re unsure about the risk level, just describe the impact and we’ll assess it.

Review Process

1. Triage - We review new submissions within 48 hours
2. Assessment - We verify feasibility, assign ATLAS mapping and threat ID, validate risk level
3. Documentation - We ensure everything is formatted and complete
4. Merge - Added to the threat model and visualization

Resources

• ATLAS Website
• ATLAS Techniques
• ATLAS Case Studies
• CoderClaw Threat Model

Contact

• Security vulnerabilities: See our Trust page for reporting instructions
• Threat model questions: Open an issue on SeanHogg/coderClaw-trust
• General chat: Discord #security channel

Recognition

Contributors to the threat model are recognized in the threat model acknowledgments, release notes, and the CoderClaw security hall of fame for significant contributions.