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🦎 DomainRaptor Wiki

Welcome to the official DomainRaptor documentation! DomainRaptor is a powerful Cyber Intelligence Tool for domain reconnaissance and security assessment.

Version Python License


📚 Table of Contents

Getting Started

Commands Reference

Interfaces

Advanced


🚀 What is DomainRaptor?

DomainRaptor is a comprehensive cyber intelligence tool designed for:

  • 🔍 Domain Discovery - Find subdomains, DNS records, and related assets
  • 🛡️ Security Assessment - Identify vulnerabilities and misconfigurations
  • 📊 Reporting - Generate detailed security reports in multiple formats
  • 👁️ Monitoring - Track changes in your attack surface over time
  • 📈 Comparison - Compare scan results and detect changes

✨ Key Features

Feature Description
Multi-source Discovery Integrates with crt.sh, HackerTarget, Shodan, ZoomEye, Censys
Full ASM workflow recon fullscan aggregates every source into one report
SSL/TLS Analysis Deep certificate analysis and validation
DNS Security Checks DNSSEC, SPF, DMARC, DKIM verification
HTTP Header Analysis Security header compliance checking
Vulnerability Scanning CVE database correlation (Shodan + NVD)
Exploit Intelligence CISA KEV, EPSS scores and Exploit-DB references (no API key required)
3rd-party enrichment URLScan.io history and metadata
Multiple Output Formats JSON, YAML, HTML, Markdown, PDF
Persistent Storage SQLite database for scan history
Change Detection Track modifications between scans
Risk Scoring Weighted 0-100 score with KEV / EPSS bonuses (details)
Terminal UI Full-screen interactive interface — domainraptor tui

🎯 Quick Example

# 1. Build the attack surface (subdomains → IPs → services → CVEs)
domainraptor recon fullscan example.com

# 2. Enrich every CVE with CISA KEV / EPSS / Exploit-DB
domainraptor assess exploits example.com --save

# 3. Render a polished HTML report with KEV badges and exploit links
domainraptor report generate example.com -f html -o report.html

# Or launch the interactive TUI
domainraptor tui

📖 Getting Help


Next: Installation Guide

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