OGhidra: Automating dataflow analysis and vulnerability discovery via local LLMs (github.com)

OGhidra has been introduced as a powerful new tool that integrates Local Language Models (LLMs) with the Ghidra reverse engineering platform, enabling users to harness AI-driven insights for binary analysis. This innovative combination allows developers and security researchers to interact with Ghidra using natural language queries, significantly simplifying complex reverse engineering tasks. With features such as automated function renaming, pattern analysis, vulnerability research, and the ability to generate comprehensive software reports, OGhidra enhances traditional reverse engineering workflows while ensuring user privacy by running LLMs locally on their hardware. For the AI/ML community, OGhidra represents a substantial advancement in the application of AI within cybersecurity contexts, particularly for malware analysis and vulnerability discovery. By leveraging custom plugins like OGhidraMCP, users can dive deep into binary data, analyze raw bytes, and get AI-generated explanations of complex code. The tool supports both a graphical user interface and a command-line interface, catering to various workflows. As LLM technology continues to evolve, tools like OGhidra may redefine the boundaries of automated analysis and security assessment, making it easier for professionals to address increasingly sophisticated cyber threats.