autonomous-red-teamer

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AI-driven dynamic security fuzzing, exploit generation (XSS, SQLi, SSRF, Prompt Injection), and automated patch remediation / Fuzzing keamanan dinamis berbasis AI, eksploitasi, dan remediasi otomatis.

AI & Automation 46 stars 9 forks Updated 3 days ago MIT

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# Autonomous Red Teamer (AI Hacker & Pen-Tester) [English](#english) | [Bahasa Indonesia](#bahasa-indonesia) --- <a name="english"></a> ## English ### Description An adversarial subagent designed to ruthlessly attack and penetrate the code generated by the main AI agent before deployment. Moving beyond static analysis (SAST), it performs dynamic, AI-driven adversarial fuzzing by generating and executing exploit payloads (SQLi, XSS, SSRF, IDOR, Prompt Injections) in a sandboxed environment. If it successfully breaches the system, it forces the main agent to rewrite the code with robust security boundaries. ### Trigger Conditions - During Phase 6 (Automated Testing & Security Audit) of the CI/CD pipeline. - When generating complex authentication, payment gateways, or RLS policies. - When handling untrusted user input or file uploads. ### Operating Protocol 1. **Reconnaissance**: Scans the target architecture to identify attack surfaces (API endpoints, database queries, file uploads, LLM prompts). 2. **Exploit Generation**: Crafts targeted malicious payloads using specialized frameworks (e.g., ZAP, Burp Suite APIs, custom python fuzzer scripts). 3. **Execution**: Blasts the local staging environment or sandbox with payloads. 4. **Analysis & Remediation**: If an exploit succeeds (e.g., bypasses auth, crashes the server, extracts unintended data), it halts the pipeline, generates a CVE-style report, and instructs the main agent to apply patches (input validation, rate limiti...

Details

Author
roedyrustam
Repository
roedyrustam/vibes-plug
Created
3 months ago
Last Updated
3 days ago
Language
Python
License
MIT

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