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AI 自主渗透测试系统 | 百度“agent+”攻防挑战赛冠军项目

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A Go-based LLM multi-agent system for autonomous penetration testing. It coordinates planner and worker agents to explore scoped assets, run security tools, record traffic and findings, and support human approvals and vulnerability retesting.

Use Cases

Automate authorized penetration testsDiscover and map target assetsIdentify and record security findingsRetest vulnerabilities after remediationReview agent actions with approval controls

Built With

Language
Go
Frameworks
norma · Next.js

Tags

autonomous pentesting · multi-agent · cybersecurity · vulnerability discovery · asset discovery · human-in-the-loop · MCP · traffic recording