Lazy Hacker

  An adaptive LLM security assessment framework for authorised red teams. Burp-Suite-style intruder for Large Language Model applications — with adaptive intelligence, 633+ curated payloads, session replay, and evidence-grade reporting. Download:   https://github.com/crazywifi/llm-Intruder What is LLM-Intruder? LLM-Intruder is an open-source framework for systematically assessing the security of Large Language Model (LLM) applications — chatbots, copilots, RAG systems, AI agents, MCP tool servers, and any application that exposes an LLM to users. It combines the breadth of a curated attack library (49 catalogues, 633+ payloads, 22 mutation strategies, 20 encoding techniques) with the depth of an adaptive hunting loop that learns from each response. You point it at a target — a web chat UI, an OpenAI-compatible API, a Burp Suite request — and it probes, mutates, and reports. Purpose Find bypass conditions in LLM applications before attackers do: Prompt injection and jailbreak...