#1AI-powered decompilation, binary analysis, code summarization, and malware analysis tools.
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An open-source user mode debugger for Windows. Optimized for reverse engineering and malware analysis.
Program for determining types of files for Windows, Linux and MacOS.

🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.

Exploit Development and Reverse Engineering with GDB & LLDB Made Easy

Cross-platform library to parse, modify, and abstract ELF, PE, and MachO executable formats. Supports C++, Python, and Rust APIs with disassembler,…

Unofficial revival of the well known .NET debugger and assembly editor, dnSpy

Multi-architecture disassembly framework providing a lightweight, thread-safe API for binary analysis, reverse engineering, and malware research…

BianryNinja plugin for identifying vulnerabilities in decompiled binaries with both programmatic scans and LLM support.

Headless AI agent for deterministic reverse engineering.

Proof-of-concept and root-cause analysis of CVE-2025-60719, a use-after-free vulnerability in Windows afd.sys leading to local privilege escalation,…

Provides a chat-based, LLM-assisted reverse engineering experience within Ghidra

A MCP Debugger Server for Windows executables (x86 and x64). Exposes debugger functionality as MCP Tools for static / dynamic analysis of the…

An LLM extension for Ghidra to enable AI assistance in RE.

Autonomous security research framework integrating static analysis, binary analysis, fuzzing, LLM-powered vulnerability validation, exploit…

OGhidra bridges Large Language Models (LLMs) via Ollama with the Ghidra reverse engineering platform, enabling AI-driven binary analysis through…

Connect your favorite AI agents directly to Cheat Engine via MCP. Automate reverse engineering, pointer scanning, and memory analysis using natural…

A Qt Widgets desktop UI for exploring Python bytecode with pycdc/pycdas, inspecting native decompilation, and using AI fallback for unsupported code…

A Binary Ninja plugin using backward slicing of variables as a driver for static taint analysis