OffensiveSET

Offensive Security Dataset Generator — An MCP server that generates high-quality, multi-turn pentesting conversation datasets for fine-tuning security-focused LLMs.

Built for training models like Qwen3.5 to think and act like professional penetration testers.

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What It Does

OffensiveSET generates realistic penetration testing conversations in ShareGPT/ChatML JSONL format. Each entry is a complete pentest engagement — from reconnaissance to exploitation to professional reporting — with:

• Multi-turn conversations (8-15 turns) following real pentester workflows
• Chain-of-thought reasoning via blocks modeling how pentesters analyze attack surfaces
• Realistic tool outputs — unique nmap scans, sqlmap dumps, nuclei findings per entry (no duplicates)
• Failure cases — blocked attacks, WAF bypasses, honeypot detection, and pivoting strategies
• Professional reports — CVSS scoring, CWE references, evidence PoCs, and secure code remediation
• Qwen3.5 native format — observation role, tags, inline reasoning

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Stats

Metric	Value
Attack scenarios	45
Pentesting tools	40
Dynamic output generators	25
User prompt templates