Black-cat

Black Cat is a penetration testing automation framework designed to mimic human-like engagement through a hypothesis-driven state machine model, allowing for iterative recon and validation processes. Unlike traditional tools that follow a linear pipeline, Black Cat enables feedback loops between different testing phases, making it adaptable and capable of handling failures creatively. Notable features include a single JSONL ledger for tracking hypotheses and evidence, explicit file routing for techniques, and a refined decision-making process that records the rationale behind each choice made during testing.