An offensive security dataset generator that creates high-quality, multi-turn penetration testing conversation datasets for fine-tuning security-focused LLMs. It enables users to generate realistic pentesting workflows featuring chain-of-thought reasoning, tool outputs, and over 45 diverse attack scenarios.
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Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
[](https://m8ven.ai/mcp/pentesterflow-offensiveset-19ab0p)