Phantom
Autonomous Offensive Security Intelligence AI-powered multi-agent penetration testing
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☠ PHANTOM
Autonomous Adversary Simulation Platform
AI-native penetration testing — autonomous reconnaissance, exploitation, and verified results.
](https://pypi.org/project/phantom-agent/) [ ](LICENSE) [ ](#tools) [ [](#quick-start)
**Quick Start** · **Architecture** · **Usage** · **Configuration** · **Contributing**
Overview
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.
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 |
Core Capabilities
🧠 Autonomous ReAct Loop — Plans, executes tools, reads results, re-plans. Handles dead ends and unexpected responses without human guidance.
🔧 53 Security Tools — nmap · nuclei · sqlmap · ffuf · httpx · katana · subfinder · nikto · gobuster · arjun · semgrep · playwright — all orchestrated automatically.
🐳 Ephemeral Docker Sandbox — All offensive tooling runs in a network-restricted Kali Linux container. Zero host filesystem access. Container is destroyed after every scan.
⚡ Multi-Agent Parallelism — Spawns specialized sub-agents (SQLi, XSS, recon) that work concurrently and report findings to the coordinator.
🛡️ 7-Layer Defense Model — Scope guard → Tool firewall → Docker sandbox → Cost limiter → Time budget → HMAC audit trail → Output sanitizer.
✅ Verified Findings Only — No hallucinations. Every reported vulnerability includes raw HTTP evidence, reproduction steps, and a working exploit script.
🗺️ MITRE ATT&CK Enrichment — Automatic CWE, CAPEC, technique-level tagging, and CVSS 3.1 scoring per finding.
📋 Compliance Coverage — OWASP Top 10 (2021) · PCI DSS v4.0 · NIST 800-53 — mapped automatically per finding.
Don't lose this
Three weeks from now, you'll want Phantom again. Will you remember where to find it?
Save it to your library and the next time you need Phantom, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
Autonomous Offensive Security Intelligence AI-powered multi-agent penetration testing. Best for anyone looking to make their AI assistant more capable in security. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.
What's New
Imported from GitHub
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