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ReportOps AI 🔐

AI-powered penetration testing report generator that converts structured vulnerability data into professional, client-ready reports.

🚀 Features

  • Generates structured vulnerability reports
  • Includes impact, remediation, and reproduction steps
  • CVSS scoring (Score + Vector)
  • Outputs Markdown, HTML, and PDF reports

📦 Tech Stack

  • Python
  • LLM Integration (Groq / Gemini)
  • JSON-based data pipeline

🛠️ Usage

python main.py --input findings.json

📄 Example Input

[
  {
    "title": "Cross-Site Scripting (XSS)",
    "endpoint": "/search",
    "method": "GET",
    "description": "Reflected XSS in search parameter"
  }
]

📊 Example Output

Here is a sample report generated by ReportOps AI: 👉 (file:///home/labus3r/reportops-ai/output/report.html)

📌 Roadmap

  • Full CVSS v3.1 calculation engine
  • Web dashboard
  • Multi-client report generation
  • Integration with scanning tools

💼 Why This Matters

In penetration testing engagements, reporting often takes longer than vulnerability discovery.

ReportOps AI automates this process by transforming raw findings into structured, professional reports, reducing manual effort and improving consistency across engagements.

⚠️ Disclaimer

This tool is intended for educational and professional penetration testing use only.


Built by Dane Babcock

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AI-powered vulnerability reporting platform that automates pentest report generation from raw findings into professional, client-ready deliverables.

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