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--- |
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license: cc-by-nc-sa-4.0 |
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dataset: Synthetic_PenTest_Reports_100k |
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tags: |
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- cybersecurity |
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- penetration-testing |
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- red-team |
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- infosec |
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- CVE |
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- ethical-hacking |
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- LLM-training |
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language: |
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- en |
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pretty_name: 100k Synthetic Automated Penetration Test Reports |
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size_categories: |
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- 100K+ |
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task_categories: |
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- text-classification |
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- summarization |
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- question-answering |
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- document-question-answering |
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- text-generation |
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--- |
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# 📄 100 Samples of Synthetic Automated Penetration Test Reports |
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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: |
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- Reconnaissance / Discovery Phase |
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- Vulnerability Assessment (with CVE tagging) |
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- Exploitation Attempts (success/failure) |
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- Final Risk Ratings and Recommendations |
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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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--- |
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## 📚 Dataset Structure |
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Each entry includes: |
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- **Test Metadata**: ID, tester, organization, IPs, confidentiality level |
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- **Discovery Phase**: Simulated `nmap` or banner-grab output |
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- **Vulnerability Assessment**: CVEs, CVSS scores, tools used (ZAP, Burp Suite, Metasploit) |
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- **Exploitation Results**: Command-line tools, outcomes, reverse shell sessions |
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- **Risk Summary**: Confidence level, remediation, OWASP-aligned recommendations |
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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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