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What is REMnux?

REMnux® is a tailored Linux distribution specifically crafted for the reverse-engineering and analysis of malicious software. This toolkit provides a curated array of free tools developed by the community, streamlining the process for analysts by removing the need to find, install, and configure each tool separately. Users can conveniently download the REMnux virtual machine in OVA format and seamlessly import it into their hypervisor environment. It is also possible to install it directly on a dedicated host or to integrate it into an existing system that operates a compatible version of Ubuntu. Moreover, the toolkit includes Docker images for popular malware analysis tools, enabling them to function as containers without requiring direct installation on the host system. Additionally, users can opt to run the complete REMnux distribution as a container, which enhances adaptability across various setups. For in-depth instructions on installation, operational guidance, and details on how to contribute to the REMnux project, users are encouraged to consult the official REMnux documentation site, which stands as an essential resource for both novices and seasoned analysts. This comprehensive documentation not only aids in effective tool utilization but also fosters a sense of community among users dedicated to malware analysis.

What is Binary Ninja?

Binary Ninja is an interactive tool designed for disassembling, decompiling, and analyzing binaries, making it ideal for reverse engineers, malware analysts, security researchers, and software developers, and it supports various operating systems including Windows, macOS, and Linux. The platform enables users to disassemble executables and libraries in multiple formats, architectures, and platforms. Additionally, it provides the capability to decompile code into C or BNIL for any supported architecture, including custom ones. Automation of analysis is made possible through APIs available in C++, Python, and Rust, which can be accessed from both the user interface and externally. Users benefit from visualizing control flow and navigating through cross-references, which significantly enhances their analysis experience. The functionality is further enriched by features that allow users to rename variables and functions, assign types, build structures, and add comments. Collaboration is facilitated through synchronized commits offered in the Enterprise version, ensuring teams can work together effectively. The integrated decompiler supports all officially recognized architectures for a single fee and employs a powerful suite of intermediate languages known as BNIL. Beyond the standard architectures, community-contributed architectures also produce remarkable decompilation results, highlighting Binary Ninja's impressive versatility and strength. This makes it an essential resource for industry professionals aiming to optimize their reverse engineering workflows, ultimately leading to more efficient and effective analysis processes.

Media

Media

Integrations Supported

C
C++
Docker
Kasm Workspaces
Python
Rust

Integrations Supported

C
C++
Docker
Kasm Workspaces
Python
Rust

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$299 one-time payment
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

REMnux

Date Founded

2010

Company Website

remnux.org

Company Facts

Organization Name

Binary Ninja

Company Location

United States

Company Website

binary.ninja/

Categories and Features

Categories and Features

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