README.md

metadata

license: cc-by-nc-sa-4.0
dataset: Synthetic_PenTest_Reports_100k
tags:
  - cybersecurity
  - penetration-testing
  - red-team
  - infosec
  - CVE
  - ethical-hacking
  - LLM-training
  - synthetic
  - procedurally-generated
language:
  - en
pretty_name: 100k Synthetic Automated Penetration Test Reports Sample
size_categories:
  - 100K+
task_categories:
  - text-classification
  - summarization
  - question-answering
  - document-question-answering
  - text-generation

The full CJ Jones' synthetic dataset catalog is available at: https://datadeveloper1.gumroad.com

Want more? 🚀 Get the AI Startup Bundle from Gumroad.

📄 100 Samples of Synthetic Automated Penetration Test Reports

This dataset contains 100+ realistic, synthetic penetration testing reports structured to simulate professional internal security assessments. Each record models the full flow of a pentest engagement, including:

• Reconnaissance / Discovery Phase
• Vulnerability Assessment (with CVE tagging)
• Exploitation Attempts (success/failure)
• Final Risk Ratings and Recommendations

These reports are ideal for training LLMs, security copilots, vulnerability classifiers, and summarization agents focused on cybersecurity operations and incident response.

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📚 Dataset Structure

Each entry includes:

• Test Metadata: ID, tester, organization, IPs, confidentiality level
• Discovery Phase: Simulated nmap or banner-grab output
• Vulnerability Assessment: CVEs, CVSS scores, tools used (ZAP, Burp Suite, Metasploit)
• Exploitation Results: Command-line tools, outcomes, reverse shell sessions
• Risk Summary: Confidence level, remediation, OWASP-aligned recommendations

All entities such as hostnames, ports, and vulnerabilities are synthetically generated for training purposes. No real systems or data are used.

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