PentestGPT is an autonomous security testing framework that leverages large language models to plan, execute, and coordinate end-to-end penetration testing engagements. By functioning as an autonomous agent, the system automates the entire testing lifecycle, from initial reconnaissance and vulnerability analysis to the generation of custom exploits and the execution of post-exploitation tasks.
The platform distinguishes itself through a multi-agent orchestration system that coordinates specialized AI agents to collaborate on complex, multi-stage attack chains. It integrates multimodal context, synthesizing both visual and textual data to inform its decision-making process. To ensure consistency and continuity, the framework maintains persistent session state, allowing users to pause and resume assessments without losing critical context or progress.
The system provides a comprehensive suite of capabilities for managing external security utilities, including the ability to parse raw command-line output into structured data for automated analysis. It operates within isolated, containerized environments to ensure that testing workflows remain reproducible and secure across diverse target architectures.
