GitHub Security Lab releases LLM-driven Fuzzing Taskflow in seclab-taskflows-fuzzing repo
GitHub Security Lab published an autonomous, LLM-driven Fuzzing Taskflow built on its Taskflow Agent and available in the seclab-taskflows-fuzzing repository; the pipeline identifies entrypoints, generates harnesses, runs AFL++, measures coverage, triages crashes, and drafts vulnerability reports. The project uses MCP tools for execution, stores state in SQLite, and defaults to Claude Sonnet 5 as the model; it runs on a host (recommended in disposable environments) and is runnable via a Codespace.