Radare2 reverse engineering framework and toolset

The radare project started in February of 2006 aiming to provide a free and simple command line interface for a hexadecimal editor supporting 64 bit offsets to search and recover data from hard-disks.

Since then, the project has grown, and its aim has changed to provide a complete framework for analyzing binaries with some basic *NIX concepts in mind, like everything is a file, small programs that interact with each other using stdin/out, and keep it simple.

Radare2 is a complete LGPL3 rewrite of the original project, which removes design issues of the first iteration, and makes it more modular and easier to script and maintain. It features a testsuite that aims to cover as many cases as possible in order to catch regressions.

Radare2 is composed of a hexadecimal editor at its core, with support for several architectures and binary formats. It features code analysis capabilities, scripting, data and code visualization through graphs and other means, a visual mode, easy unix integration, a binary diffing engine for code and data, a shellcode compiler, and much, much more!

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  • c
  • cpp
  • rust
  • qt


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radare 2018 Projects

  • mandlebro
    [Cutter] Implement Debugging and Emulation support
    The idea is to implement a debugging view in Cutter which allows to run/rerun the current binary with multiple r2 dbg/io plugins.
  • Luca Di Bartolomeo
    Console Interface Improvements
    Radare2 has a very flexible console interface, including command line, different visual modes and Unix-like integration with other tools. But there...
  • HMPerson1
    Pseudo-C Backend for Radeco
    Radeco currently can parse Radare2’s ESIL into a graph-based SSA representation. This project would complete the decompiler by generating a C-like...
  • Shohei Kuroiwa
    Radeco Pseudo C Code Generation
    Radare is a useful framework for reverse engineering. It has debugger interface and disassembler and visualizer. To analyze programs more...
  • sivaramaaa
    Type Inference
    Implement a basic type inference based on function arguments/return types and callgraph