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.
📚 Dataset Structure
Each entry includes:
- Test Metadata: ID, tester, organization, IPs, confidentiality level
- Discovery Phase: Simulated
nmapor 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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