20k LLM Synthetic PenTest Reports Training Dataset
🔐 20k Synthetic Penetration Test Reports – LLM Training Dataset
[📂 Sample data and live viewer available on Hugging Face](https://huggingface.co/datasets/Synthetic_PenTest_Reports)
Once several copies of this data have been sold, the full dataset will be released to public domain.
Get the full set [AI Startup Bundle](https://datadeveloper1.gumroad.com/l/dxxja)
Train your AI models to think like a red teamer.
This dataset contains 20,000 fully structured, synthetic penetration testing reports designed to simulate real-world security assessments for internal infrastructure, applications, and services. Each report follows the professional flow of a full pentest engagement:
✅ What’s Inside:
- Discovery Phase: Nmap, OS fingerprinting, service enumeration
- Vulnerability Assessment: CVE-tagged findings, toolchain results (ZAP, Burp, Metasploit, etc.)
- Exploitation Phase: Realistic outcomes (session gain, privilege escalation, or failure)
- Risk Rating & Final Recommendations: Modeled after enterprise report formats
Each report is 100% synthetic but deeply grounded in real-world tactics, making this dataset safe to use for commercial training and fine-tuning.
💡 Perfect for:
- Training cybersecurity copilots & SOC agents
- Teaching LLMs to analyze CVEs and exploit chains
- Summarizing security posture and suggesting remediations
- Building red-team simulators or internal risk modeling tools
Custom License Agreement for Synthetic LLM Training Dataset Generator - Microcontroller Project
This code is sold under a limited-use license. You MAY:- Use this code in your personal or commercial projects.- Modify the code for your own use. You MAY NOT:- Resell, redistribute, or publish the code, modified or unmodified.- Use this code to create a directly competing product. Each purchase grants a license to one individual or company for internal use.© 2025 Cameron Jones. All rights reserved.
With this dataset, you get 20,000 high-quality synthetic penetration testing reports, each structured to reflect a full ethical hacking engagement—from reconnaissance and vulnerability discovery to exploitation attempts and final recommendations. Every report includes realistic CVE references, tool outputs (like Nmap, OWASP ZAP, and Metasploit), risk ratings, and detailed remediation steps—making it ideal for training LLMs in cybersecurity reasoning, summarization, classification, or red-team simulation tasks.