by Usta0x001
Autonomous Offensive Security Intelligence AI-powered multi-agent penetration testing
# Add to your Claude Code skills
git clone https://github.com/Usta0x001/PhantomAI-native penetration testing — autonomous reconnaissance, exploitation, and verified results.
<br/> <br/>Quick Start · Architecture · Usage · Configuration · Contributing
<br/> </div>Phantom is an autonomous AI penetration testing agent built on the ReAct (Reason–Act) loop. It connects a large language model to over 30 professional security tools, runs all offensive operations inside an isolated Docker sandbox, and produces verified vulnerability reports — entirely without human intervention.
<table> <tr> <td align="center">🧠</td> <td><strong>Autonomous ReAct Loop</strong> — Plans, executes tools, reads results, re-plans. Handles dead ends and unexpected responses without human guidance.</td> </tr> <tr> <td align="center">🔧</td> <td><strong>30+ Security Tools</strong> — nmap · nuclei · sqlmap · ffuf · httpx · katana · nikto · ...No comments yet. Be the first to share your thoughts!
Unlike CVE-signature scanners, Phantom reasons about your target: it reads HTTP responses, forms hypotheses, selects the right tool, chains multi-step exploits, then writes and executes a proof-of-concept script to confirm every finding before it appears in a report.
| | Traditional Scanners | Phantom | |--|--|--| | Approach | Signature matching against CVE databases | LLM reasoning + adaptive tool chaining | | False Positives | 40–70% — requires manual triage | Every finding verified with a working PoC | | Depth | Single-pass HTTP probe | Multi-phase: recon → exploit → verify | | Adaptability | Fixed rules, static payloads | Adapts to target responses in real time | | Novel Vulns | Known CVEs only | Logic flaws + novel attack paths | | Reporting | Generic vulnerability lists | MITRE ATT&CK mapped, compliance-ready |