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PentestAgent, an open-source AI framework by Masic (GH05TCREW), now offers improved features like prebuilt attack playbooks and easy HexStrike integration.
A researcher known as GH05TCREW released a tool on GitHub that uses large language models (LLMs) like Claude Sonnet or GPT-5 through LiteLLM for advanced black-box security evaluations.
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PentestAgent uses a terminal interface with modes for chat assistance, autonomous agents, and multi-agent teams, helping pentesters enhance their work while maintaining control. It’s important to use it legally: only test approved systems, as unauthorized access is illegal.
Features and Playbooks:
PentestAgent comes with its structured attack playbooks, predefined workflows for web app testing like THP3-style assessments. Users launch them via CLI: pentestagent run -t example.com –playbook thp3_web.
These playbooks help the AI with reconnaissance, vulnerability scanning, and exploitation by using domain-specific knowledge from a Retrieval-Augmented Generation (RAG) system.
Session notes categorized as credentials, vulnerabilities, findings, or artifacts are stored in loot/notes.json and create a “shadow graph” in Crew mode, allowing an orchestrator to deploy specialized workers for strategic insights.
The tool supports three operational modes, summarized below:
| Mode | Command | Description |
|---|---|---|
| Assist | (default) | Interactive chat; user directs flow. |
| Agent | /agent <task> | Autonomous single-task execution. |
| Crew | /crew <task> | Multi-agent orchestration. |
