Dear Professor Gervais and MAPTA authors,
I hope you are doing well. My name is [Your Name], and I am currently working on a research project related to LLM-based automated penetration testing. I recently read your paper on MAPTA, Multi-Agent Penetration Testing AI for the Web, and I found the multi-agent architecture with Coordinator, Sandbox, and Validation agents very relevant to my research.
I found the public repository at:
https://github.com/arthurgervais/mapta
However, after reviewing the repository, it seems that the current release mainly contains main.py, analyze_logs.py, and experiment logs. Some important components for reproducing the system appear to be missing or redacted, such as the sandbox factory implementation, the function_tool wrapper, complete system prompts, dependency setup, and the workflow for reproducing the real-world local white-box assessment.
I am writing to ask whether it would be possible to obtain more complete reproduction materials for academic experimentation, including any of the following if available:
- The full runnable version of MAPTA or an artifact branch;
- The sandbox factory implementation required by
SANDBOX_FACTORY; - The missing
function_tool.pyor equivalent tool-wrapper code; - The complete or reproducible version of the Coordinator / Sandbox / Validation prompts;
- Setup instructions, dependency files, or Docker configuration;
- The workflow used for local white-box assessment of open-source GitHub projects;
- Any scripts used to generate
metrics.jsonfiles foranalyze_logs.py.
My purpose is strictly academic. I plan to run experiments only on locally deployed, authorized, and isolated test environments, such as vulnerable Docker targets or self-hosted open-source web applications. I am not requesting any undisclosed vulnerability details, private target identities, or exploit information related to ongoing responsible disclosure cases.
If the full source code cannot be shared publicly, I would also greatly appreciate any partial instructions or guidance that could help reproduce the MAPTA architecture in a safe local environment.
Thank you very much for your time and for making your work available to the research community. Your paper is very helpful for my study of LLM-driven penetration testing systems.
Best regards, [Your Name] [Your University / Institution] [Your Email]
Activity
0No activity yet.