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
language:
  - en
pretty_name: 100k Synthetic Automated Penetration Test Reports
size_categories:
  - 100K+
task_categories:
  - text-classification
  - summarization
  - question-answering
  - document-question-answering
  - text-generation

📄 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.

📚 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.