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