AI-Assisted Reverse Engineering with Ghidra (github.com)

A new tool wraps an AI chat interface around Ghidra so researchers can ask high-level questions about a binary and let the agent automatically perform the required reverse‑engineering steps inside Ghidra via MCP. The project is distributed as a Docker image (biniamfd/ghidra-headless-rest) that exposes Ghidra’s headless REST on port 9090 and mounts a local data directory for projects; you run it, configure an OpenAI‑compatible API base URL, API key and model name, then launch the Python web UI (python webui/app.py) and interact at http://localhost:5000. The agentic workflow drives Ghidra operations programmatically, turning user queries into sequences of analysis actions to extract function summaries, strings, cross‑references, or other binary insights without manual click‑through. Significance: this accelerates routine and exploratory reverse engineering—useful for malware analysis, vulnerability discovery, and triage—by automating repetitive Ghidra tasks and codifying analyst intent into reproducible steps. Key implications include faster analysis cycles, better onboarding for less‑experienced analysts, and a new attack/defense automation vector for red/blue teams. Important caveats: automated agents can hallucinate, misinterpret complex control flow, or produce brittle scripts, so human validation, secure API/configuration handling, and careful chain‑of‑custody practices remain essential.