Ghidramcp

🚀 GhidraMCP Plugin

GhidraMCP is a Ghidra plugin that implements the Model Context Protocol (MCP) to support AI-assisted binary analysis. It connects Ghidra with AI tools, enabling security researchers to leverage AI for enhanced reverse engineering and analysis.

🚀 Quick Start

GhidraMCP bridges Ghidra with AI tools, empowering security researchers to harness AI capabilities in their reverse engineering and analysis tasks. By integrating the MCP protocol, it offers an easy way to obtain insights from AI models and incorporate them into the existing binary analysis workflow.

✨ Features

• AI-assisted Function Naming: Automatically generate more accurate and meaningful function names by invoking AI models.
• Data Identification: Identify and label important data structures and constants in binaries.
• Vulnerability Detection: Use AI models to identify potential security vulnerabilities and abnormal behavior patterns.
• Code Comment Generation: Generate explanatory comments for decompiled code to aid in understanding functionality.
• Context Query: Allow users to ask natural - language questions about specific details of binary files to the AI.

📦 Installation

Download the Plugin

1. Download the GhidraMCP plugin from Github.
2. Copy the plugin file (ghidra_mcp_plugin.zip) to the plugins folder in the Ghidra installation directory.

Enable the Plugin

1. Open Ghidra, go to the "Edit" menu, and select "Preferences".
2. Find "Plugins" in the left - hand navigation bar and check "GhidraMCP Plugin".
3. Click "Apply" to save the settings and restart Ghidra.

💻 Usage Examples

Basic Usage

1. Open a binary file for analysis.
2. Select "Analyze" -> "AI Analysis" -> "Start MCP Session" from the menu.
3. Configure the AI service as prompted (e.g., a locally running MCP proxy or a cloud service).
4. Wait for the plugin to connect to the AI model and start analysis.

Advanced Usage

Suppose you are analyzing a malware sample:

1. After starting the MCP session, GhidraMCP automatically sends information about functions and data structures to the AI model.
2. The AI model returns enhanced function names (e.g., `encryptData()`) and the locations of potential vulnerabilities.
3. Users can conduct further manual analysis or forensics work based on the insights provided by the AI.

📚 Documentation

Custom Configuration

• Support users to customize the MCP proxy address, port, and other advanced settings.
• Provide detailed logging functionality for debugging and optimizing the analysis process.

Batch Processing

• Support uploading multiple binary files at once for batch analysis to improve work efficiency.

Quick Start Guide

1. Download and install the GhidraMCP plugin.
2. Configure the AI service (it is recommended to use a local proxy for better performance).
3. Open a target binary file and start an AI analysis session.
4. The analysis results will be directly displayed in the Ghidra user interface for further operations.

In - depth Tutorial

Detailed documentation and examples can be found on Github, covering aspects from basic usage to advanced custom configuration.

❓ Frequently Asked Questions

• Q: What should I do if the plugin cannot connect to the AI model?
  • Check the network connection and ensure that the MCP proxy is running and correctly configured.
• Q: What should I do if the analysis results are inaccurate?
  • Ensure that the input data format and content meet the requirements of the AI model.
  • Adjust the model parameters or select a more suitable task type.

👥 Contribution

We welcome contributions from the community! Whether it's fixing bugs, adding new features, or improving documentation, your participation is highly appreciated. Please follow these steps to contribute:

1. Fork this repository: git clone https://github.com/yourusername/GhidraMCP.git
2. Create a feature branch: git checkout -b feature/amazing - feature
3. Commit your changes: git commit -m 'Add some amazing feature'
4. Push to the remote repository: git push origin feature/amazing - feature
5. Submit a Pull Request to the original project.

🙏 Acknowledgments

We would like to thank the following institutions and individuals for their support:

• National Security Agency (NSA) for developing Ghidra.
• Model Context Protocol Community for providing technical support for this project.
• All individuals and organizations that have contributed to this project.

⚠️ Important Note

GhidraMCP has no affiliation with the National Security Agency or the Ghidra project.