Coding & Development🌐universal
☠ PHANTOM
Autonomous Offensive Security Intelligence AI-powered multi-agent penetration testing
Quick Start
Install this Skill
npx skills add Usta0x001/Phantom<div align="center">
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# ☠ PHANTOM
### Autonomous Adversary Simulation Platform
*AI-native penetration testing — autonomous reconnaissance, exploitation, and verified results.*
<br/>
[](https://pypi.org/project/phantom-agent/)
[](https://python.org)
[](LICENSE)
[](#architecture)
[](#tools)
[](#)
[](#quick-start)
<br/>
[**Quick Start**](#quick-start) · [**Architecture**](#architecture) · [**Usage**](#usage) · [**Configuration**](#configuration) · [**Contributing**](#contributing)
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</div>
---
## 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
<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>53 Security Tools</strong> — nmap · nuclei · sqlmap · ffuf · httpx · katana · subfinder · nikto · gobuster · arjun · semgrep · playwright — all orchestrated automatically.</td>
</tr>
<tr>
<td align="center">🐳</td>
<td><strong>Ephemeral Docker Sandbox</strong> — All offensive tooling runs in a network-restricted Kali Linux container. Zero host filesystem access. Container is destroyed after every scan.</td>
</tr>
<tr>
<td align="center">⚡</td>
<td><strong>Multi-Agent Parallelism</strong> — Spawns specialized sub-agents (SQLi, XSS, recon) that work concurrently and report findings to the coordinator.</td>
</tr>
<tr>
<td align="center">🛡️</td>
<td><strong>7-Layer Defense Model</strong> — Scope guard → Tool firewall → Docker sandbox → Cost limiter → Time budget → HMAC audit trail → Output sanitizer.</td>
</tr>
<tr>
<td align="center">✅</td>
<td><strong>Verified Findings Only</strong> — No hallucinations. Every reported vulnerability includes raw HTTP evidence, reproduction steps, and a working exploit script.</td>
</tr>
<tr>
<td align="center">🗺️</td>
<td><strong>MITRE ATT&CK Enrichment</strong> — Automatic CWE, CAPEC, technique-level tagging, and CVSS 3.1 scoring per finding.</td>
</tr>
<tr>
<td align="center">📋</td>
<td><strong>Compliance Coverage</strong> — OWASP Top 10 (2021) · PCI DSS v4.0 · NIST 800-53 — mapped automatically per finding.</td>
</tr>
<tr>
<td align="center">💾</td>
<td><strong>Knowledge Persistence</strong> — Cross-scan memory stores hosts, past findings, and false-positive signatures. Each scan learns from the last.</td>
</tr>
<tr>
<td align="center">💰</td>
<td><strong>Full Cost Control</strong> — Per-request and per-scan budget caps. Every token and every dollar tracked in real time.</td>
</tr>
</table>
---
## Architecture
<details open>
<summary><strong>① System Architecture — Component Overview</strong></summary>
<br/>
```mermaid
%%{init: {"theme": "dark"}}%%
flowchart TD
USER(["👤 User / CI-CD"])
subgraph IFACE["Interface Layer"]
CLI["CLI · TUI"]
PARSER["Output Parser"]
end
subgraph ORCH["Orchestration"]
PROFILE["Scan Profile"]
SCOPE["Scope Guard"]
COST["Cost Controller"]
AUDIT["HMAC Audit
... (truncated)Repository
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Details
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