Vulnerability Analysis

Binary Ninja Ollama Plus : Elevating Code Analysis With Advanced Features For Security Professionals

The Binary Ninja Ollama Enhanced plugin is an advanced tool tailored for developers and reverse engineers, offering enhanced functionality for binary analysis.

Originally developed by Austin Haggard, this version has been significantly upgraded by Dani Martinez (dan1t0) to improve compatibility and add new analysis features.

Key Enhancements

  1. Improved Compatibility: The plugin replaces the original Ollama library with the Python requests library, ensuring better integration and stability.
  2. Function Explanation: A new feature that provides detailed insights into what a specific function does, including its purpose, key operations, and algorithmic details.
  3. Vulnerability Analysis: Added capabilities to identify security vulnerabilities like buffer overflows, stack overflows, and use-after-free issues in code.
  4. Enhanced Prompt Handling: Improved processing of AI-generated responses for better accuracy during renaming or analysis tasks.
  • Integration with locally hosted Ollama servers to utilize open-source AI models.
  • The ability to rename functions and variables in bulk or individually using AI-generated suggestions.
  • Support for a variety of models, including Llama3 and Gemma2, tailored for different hardware configurations.
  • Cost-Effective: Completely free to use and set up locally.
  • Privacy-Focused: Data remains on the local server, ensuring no third-party access.
  • Offline Capability: Operates without requiring an internet connection.
  • Function Renaming: Automatically generates Python-style names for functions based on their decompiled code.
  • Variable Renaming: Suggests concise, Python-compatible names for variables within functions.
  • Vulnerability Analysis: Provides a detailed report of potential risks and recommendations for improvement.
  • Function Explanation: Delivers a high-level overview of a function’s purpose and structure.

To install the plugin:

  1. Place or symlink it in Binary Ninja’s plugin directory.
  2. Ensure dependencies such as Python 3.10+, requests, and networkx are installed.
  • Larger functions may occasionally return verbose or irrelevant AI responses.
  • Non-existent server configurations could be handled more gracefully.

This enhanced plugin is ideal for users seeking robust AI-powered code analysis tools integrated seamlessly with Binary Ninja. For more details or to contribute, visit the GitHub repository.

Varshini

Varshini is a Cyber Security expert in Threat Analysis, Vulnerability Assessment, and Research. Passionate about staying ahead of emerging Threats and Technologies.

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