Autumn-27 / ARTEX

An AI-powered autonomous penetration testing system that combines agent orchestration with human-in-the-loop safety controls

正常维护 AGPL-3 Go Tracked
2.1k 532 19 天前
CIDocker

星标趋势

数据积累中,暂无足够数据生成趋势图

AI 分析

项目摘要

ARTEX is an AI-powered autonomous penetration testing system built with Go and Next.js. It won the Baidu 'agent+' attack-defense challenge and provides a comprehensive platform for automated security testing with features like agent management, asset visualization, human-in-the-loop approval, and LLM integration.

为什么值得关注

This project is notable for being a champion project in a major AI security competition, demonstrating practical application of autonomous AI agents in penetration testing. It combines agent orchestration with security testing workflows and includes safety features like human-in-the-loop approval.

优势

  • Comprehensive feature set with dashboard, asset visualization, and execution tracking
  • Human-in-the-loop approval system for safe autonomous operation
  • Easy deployment with Docker and pre-compiled binaries
  • Active development with frequent releases and CI/CD
  • Integration with existing security tools like ScopeSentry

局限性

  • No automated tests despite being a security-critical tool
  • Primarily Chinese documentation limits international accessibility
  • Relatively new project with 38 open issues

使用场景

  • Automated penetration testing and vulnerability discovery
  • Red team operations and security assessments
  • Security research and education
  • Continuous security monitoring and testing
目标用户: Penetration testers, red team operators, and security researchers looking to leverage AI for automated security testing
学习曲线: 中
分析模型:LongCat-2.0 | 分析时间:26 天前