RAPTOR (Recursive Autonomous Penetration Testing and Observation Robot) is an autonomous security research framework built on Claude Code. It bridges the gap between traditional security tooling and agentic AI, enabling automated adversarial code comprehension, vulnerability discovery, and exploit development.
Key Features
- Adversarial Code Understanding: Maps attack surfaces and traces data flows using an offensive mindset.
- Automated Tool Orchestration: Integrates Semgrep, CodeQL, and AFL++ for static analysis and binary fuzzing.
- Exploit Generation: Automatically produces proof-of-concept (PoC) code for discovered vulnerabilities.
- SecOpsAgentKit: Dedicated offensive specialist agent for web and network penetration testing.
- OSS Forensics: Investigates GitHub repositories for evidence of compromise or deleted content.
- Cost Management: Built-in budget enforcement and real-time tracking for LLM API usage.
Use Cases
- Red Team Operations: Automating the initial stages of code review and vulnerability hunting in target environments.
- Vulnerability Research: Scalable fuzzing and static analysis with AI-driven root cause analysis of crashes.
- Secure Development: Proposing and validating security patches for identified flaws.
- Incident Response: Conducting forensics on public repositories to identify IOCs and trace attacker activity.
