Binary Ninja emerges as a dynamic platform designed by reverse engineers for the intricate tasks of interactive decompilation, disassembly, debugging, and binary analysis. Meticulously crafted with an emphasis on providing an exceptional API for automation and a user-friendly GUI, Binary Ninja has become a go-to tool for reverse engineers globally. Actively embraced by malware analysts, vulnerability researchers, and software developers, Binary Ninja stands out for its adaptability and efficiency in unraveling the complexities of binary code.
Acknowledged for its adaptability, streamlines the disassembly and analysis of binary code, offering a lucid and comprehensive depiction of executable files. Its interactive interface, marked by functionality and visual appeal, amplifies the comprehension of intricate binary structures. As an indispensable asset for dissecting and comprehending the behavior of compiled software, Binary Ninja continues to be at the forefront of empowering users in binary analysis.
Disassemble Files: Binary Ninja supports disassembly across various architectures, including x86, x86-64, ARMv7 (with Thumb2), ARMv8 (AArch64), PowerPC, 6502, Z80, and MIPS. The vibrant community extends this support to other architectures through a public plugin ecosystem. Loaders, compatible with major platforms (PE, Mach-O, ELF), can be extended or customized using the API.
Decompile Code: The built-in decompiler in Binary Ninja seamlessly works with all officially supported architectures, employing a robust family of Intermediate Languages (ILs) known as BNIL. This decompiler outputs to C and BNIL, allowing flexible on-demand switching and consistent pricing for all architectures.
Debug Applications: Binary Ninja's open-source, native debugger is versatile and capable of debugging applications on Windows, macOS, and Linux. It supports various interfaces and accommodates both local and remote debugging.
Automate Anything: The extensive API in Binary Ninja empowers users to create and customize loaders, augment architectures, modify the UI, and automate diverse workflows, from types to patches and decompilation. Bindings are available for C++, Python, and Rust.
Create Plugins: Users can publish and feature community plugins in the Plugin Manager, accessible to all customers. These plugins, installable or updatable from within the client, contribute to the platform's rich ecosystem.
Triage Quickly: Leverage the API for batch processing files, visualizing results in the triage view. Utilize the entropy graph to identify areas of interest, such as packed or encrypted data, and navigate quickly to specific locations.
Explore Interactively: Binary Ninja's intentional and clean UI design supports interactive exploration, providing essential features without unnecessary distractions. Multiple tabs, synchronized and split views, custom layouts, and more cater to diverse analysis needs.
Annotate Everything: Supporting the process of reverse engineering, Binary Ninja offers tools to represent evolving understanding. Users can add types, structures, comments, highlights, tags, and more to enhance and document their analysis.
Patch Effectively: Facilitating swift binary patches, Binary Ninja offers purpose-built tools. Users can edit assembly lines directly, select preset patches, edit raw bytes with the hex editor view, or even compile C code into the executable using the built-in SCC compiler.
Switch Platforms: Binary Ninja seamlessly operates on Windows, macOS, and Linux, with every purchase including access to all three platforms for a unified price.
Run Headlessly: Analysis isn't confined to Binary Ninja; users can integrate it into their analysis environment. Whether through a Python REPL or statically compiling the core analysis library into an existing framework, analysis can be conducted independently of the UI.
Committed to Open Source: Binary Ninja is committed to openness, allowing users to modify the implementation of platforms or architectures and contribute new debugger features to the open-source components of the product.
