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Binary Ninja plugin to provide LLM assistance analyzing binaries.

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BinAssist

Author: Jason Tang

A plugin that provides LLM helpers to explain code and assist in RE.

Support Continued Improvements

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Description:

This is a LLM plugin aimed at enabling the use of local LLM's (ollama, text-generation-webui, lm-studio, etc) for assisting with binary exploration and reverse engineering. It supports any OpenAI v1-compatible API. Recommended models are LLaMA-based models such as llama3.1:8b, but others should work as well.

Current features include:

  • Explain the current function - Works at all IL levels.
  • Explain the current instruction - Works at all IL levels.
  • General query - Query the LLM directly from the UI.
  • Propose actions - Provide a list of proposed actions to apply.
  • Function calling - Allow agent to call functions to navigate the binary, rename functions and variables.
  • RLHF dataset generation - To enable model fine tuning.
  • RAG augmentation - Supports adding contextual documents to refine query effectiveness.
  • Settings to modify API host, key, model name and max tokens.

Future Roadmap:

  • Agentic assistant - Use Autogen or similar framework for self-guided binary RE.
  • Model fine tuning - Leverage the RLHF dataset to fine tune the model.

Quickstart

  • If necessary, pip install -r requirements.txt from the plugin directory.
  • Open Settings -> BinAssist.
  • Ensure the RLHF and RAG database paths are appropriate for your environment.
  • Point the API host to your prefered API provider and set the API key.
  • Load a binary.
  • Open BinAssist with the 'BA' sidebar icon and start exploring.

Screenshot

Screenshot Screenshots

Homepage

https://github.com/jtang613/BinAssist

Installation Instructions

Linux

An OpenAI compatible API is required. For local LLM support, use Ollama, LMStudio, Open-WebUI, Text-Generation-WebUI, etc.

pip install -r requirements.txt

Windows

Untested but should work. Submit an Issue or Pull Request for support.

Darwin

Untested but should work. Submit an Issue or Pull Request for support.

Minimum Version

This plugin requires the following minimum version of Binary Ninja:

  • 4000

Required Dependencies

The following dependencies are required for this plugin:

  • pip - openai, pysqlite3, markdown, httpx, chromadb, sentence-transformers

License

This plugin is released under a MIT license.

Metadata Version

2