PentestGPT

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PentestGPT is an AI-powered autonomous penetration testing agentic framework that leverages large language models to automate security testing. It offers an isolated, reproducible environment with pre-installed security tools.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is PentestGPT?

PentestGPT is an AI-powered autonomous penetration testing agentic framework designed to automate and streamline security testing processes. Published at USENIX Security 2024, it utilizes large language models for advanced reasoning in penetration testing and CTFs across various categories like Web, Crypto, and Forensics. Key features include an agentic pipeline for intelligent testing, session persistence to save and resume work, and a Docker-first approach for isolated and reproducible environments. It provides live walkthroughs and real-time feedback, allowing users to observe the AI's progress. The framework supports multi-model integration, including OpenAI, Gemini, and local LLMs, and offers an extensible architecture for future enhancements. It also includes 104 XBOW validation benchmarks for comprehensive testing and evaluation.

Best used for

Ideal for developers and data scientists who need to automate security assessments, solve complex CTF challenges, and evaluate the security posture of systems. Especially valuable for those requiring an isolated, reproducible testing environment with real-time feedback and support for various LLM providers.

Common actions

automate penetration testing

evaluate system security

solve CTF challenges

benchmark AI agents

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Capabilities

Key features

Autonomous agentic pipeline
Session persistence
Docker-first environment
Multi-category support
Real-time feedback
Extensible architecture
Local LLM support

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of penetration testing can PentestGPT perform?

PentestGPT supports a wide range of penetration testing categories, including Web, Crypto, Reversing, Forensics, PWN, and Privilege Escalation. It leverages large language models to perform advanced reasoning and solve challenges within these domains.

Does PentestGPT support local Large Language Models?

Yes, PentestGPT supports routing requests to local LLM servers such as LM Studio, Ollama, and text-generation-webui. Users can configure the tool to use their preferred local models by editing the `ccr-config-template.json` file.

Is PentestGPT suitable for benchmarking AI agent performance?

Absolutely. PentestGPT includes 104 XBOW validation benchmarks, allowing users to comprehensively test and evaluate the performance of the AI agent. It provides detailed results on success rates, cost, and time per benchmark.

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