radare2 alternatives
Looking for an alternative tool to replace radare2? During the review of radare2 we looked at other open source tools. Based on their category, tags, and text, these are the ones that have the best match.
Alternatives (by score)
Cutter
Introduction
Cutter is a graphical user interface for radare2, the well-known reverse engineering framework. It focuses on those who are not familiar enough with radare2, or rather have a graphical interface instead of the command-line interface that radare2 provides.
Project details
Cutter is written in C++, Qt.
Strengths and weaknesses
- + More than 50 contributors
- + More than 3000 GitHub stars
- + The source code of this software is available
Typical usage
- Binary analysis
- Malware analysis
- Reverse engineering
LIEF
Introduction
LIEF is short for Library to Instrument Executable Formats.
Project details
LIEF is written in Python.
Strengths and weaknesses
- + The source code of this software is available
Typical usage
- Binary analysis
- Malware analysis
- Reverse engineering
PyREBox
Introduction
PyREBox is short for Python scriptable Reverse Engineering Sandbox. It provides dynamic analysis and debugging capabilities of a running QEMU virtual machine. The primary usage is the analysis of running processes to perform reverse engineering. PyREBox can change parts of the running system by changing data in memory or within processor registers.
Project details
PyREBox is written in C++, Python.
Strengths and weaknesses
- + The source code of this software is available
Typical usage
- Binary analysis
- Malware analysis
- Reverse engineering
r2frida
Introduction
Both Radare2 and Frida have their own area of expertise. This project combines both, to allow a more extensive analysis of files and processes.
Project details
r2frida is written in C, JavaScript.
Strengths and weaknesses
- + The source code of this software is available
Typical usage
- Application testing
- Binary analysis
- Memory analysis
Binary Analysis Next Generation (BANG)
Introduction
BANG is a framework to unpack files recursively and scan them. The files can be firmware, binaries, or malware. The main goal is to scan all files and perform classification and labeling. This way each file can be further analyzed based on the characteristics.
Project details
Binary Analysis Next Generation is written in Python.
Strengths and weaknesses
- + The source code of this software is available
- - No releases on GitHub available
Typical usage
- Binary analysis
- Malware analysis
- Malware scanning
PEDA
Introduction
PEDA is an extension for GDB (GNU DeBugger) to help with the development of exploit code. It can be used by reverse engineers and pentesters.Project details
PEDA is written in Python.
Strengths and weaknesses
- + More than 2000 GitHub stars
- + The source code of this software is available
Typical usage
- Debugging
- Exploit development
- Reverse engineering
Manticore
Introduction
Manticore is a so-called symbolic execution tool to perform a binary analysis. It supports Linux ELF binaries and Ethereum smart contracts. The tool helps with researching binaries and their behavior. This might be useful to learn how malware works and troubleshooting.
Project details
Manticore is written in Python.
Strengths and weaknesses
- + More than 25 contributors
- + More than 1000 GitHub stars
- + The source code of this software is available
Typical usage
- Binary analysis
- Malware analysis
- Reverse engineering
Bitscout
Introduction
Bitscout contains a set of popular tools to acquire and analyze disk images onsite. It saves engineers from traveling to the physical location. In other words, it is providing the option to do remote forensics. The project claims that everything is correctly implemented when it comes to digital forensics. One of these requirements is that no data is altered. For example, the remote security professional can obtain a disk image clone, but not alter the machine state.
Project details
Bitscout is written in shell script.
Strengths and weaknesses
- + Used language is shell script
- + The source code of this software is available
Typical usage
- Digital forensics
Mal Tindex
Introduction
Mal Tindex is a tool that performs binary analysis on malware samples. It analyzes the binaries it is provided to learn about the specifics of each malware sample that makes them unique. This way data can be gathered that may provide background information. For example, it could provide the attribution of a particular actor or malware campaign.
Project details
Mal Tindex is written in Python.
Strengths and weaknesses
- + The source code of this software is available
Typical usage
- Malware analysis
- Malware research
Malice
Introduction
Malice is a malware analysis that wants to provide a free and open source version of VirusTotal. The goal of Malice is to make it usable by both independent researchers up to fortune 500 companies.
Malice is useful for those that do malware analysis or deal with user-generated files that may contain malware. The framework allows scanning files and directories to see if they are infected.
Project details
Malice is written in Golang.
Strengths and weaknesses
- + More than 500 GitHub stars
- + The source code of this software is available
Typical usage
- Malware analysis
- Malware detection
- Malware research
- Malware scanning
MultiScanner
Introduction
MultiScanner helps malware analysts by providing a toolkit to perform both automated and manual analysis. The data extracted from the analysis can be easily stored together, including the relevant metadata and samples. It allows enriching the data further by retrieving information from external resources.
Project details
Strengths and weaknesses
- + More than 10 contributors
- + The source code of this software is available
Typical usage
- Malware analysis
- Malware detection
- Malware scanning
SSMA
Introduction
SSMA is short for Simple Static Malware Analyzer. The tool can perform a set of tests against a malware sample and retrieve metadata from it. SSMA can analyze ELF and PE and analyze its structure. For example, it can retrieve the PE file header information and its sections. Other pieces it can analyze is the usage of packers, anti-debugging techniques, cryptographic algorithms, domains, email addresses, and IP addresses. It can also check if the sample is already detected or blocked by using VirusTotal and the blocklist of malwaredomains.com.
Project details
SSMA is written in Python.
Strengths and weaknesses
- + The source code of this software is available
- - No releases on GitHub available
Typical usage
- Malware analysis
- Malware detection
- Malware scanning
- Reverse engineering
YaraGuardian
Introduction
YaraGuardian provides a web-based interface that helps to manage Yara rules. It can be used to search, organize, and bulk-edit rules. The tool also prevents creating duplicate entries, which is a nice additional benefit of this management utility.
Project details
YaraGuardian is written in Python.
Strengths and weaknesses
- + The source code of this software is available
Typical usage
- Malware analysis
Frida
Introduction
Frida allows developers and researchers to inject custom scripts into black box processes. This way it can provide a hook into any function, allowing to trace executed instructions. The source code is not needed. Frida even allows direct manipulation and see the results. The tool comes with bindings for different programming languages, allowing to interact with processes. Example of the bindings that Frida provides include Python, Swift, .NET, Qt/Qml, and C API.
Project details
Frida is written in C.
Strengths and weaknesses
- + More than 10 contributors
- + More than 2000 GitHub stars
- + Many releases available
- + Project is mature (5+ years)
- + The source code of this software is available
Typical usage
- Black-box testing
- Reverse engineering
BAP (Binary Analysis Platform)
Introduction
The main purpose of BAP is to provide a toolkit for program analysis. This platform comes as a complete package with a set of tools, libraries, and related plugins. There are bindings available for C, Python, and Rust.
Project details
BAP is written in OCaml.
Strengths and weaknesses
- + More than 25 contributors
- + More than 500 GitHub stars
- + The source code of this software is available
Typical usage
- Binary analysis
- Malware analysis
pyelftools
Introduction
This toolkit is used by other software, or standalone. Its main purpose is to parse binary ELF files and DWARF debugging information. This can be useful during malware analysis or troubleshooting issues with programs.
Project details
pyelftools is written in Python.
Strengths and weaknesses
- + More than 25 contributors
- + More than 500 GitHub stars
- + The source code of this software is available
Typical usage
- Binary analysis
- Malware analysis
GRR Rapid Response
Introduction
The goal of the GRR tooling is to support digital forensics and investigations. By using a fast and scalable model, analysts can quickly perform their analysis. One of the main features is the ability to search for particular information or details. This process is called hunting.
Project details
GRR Rapid Response is written in Python.
Strengths and weaknesses
- + More than 25 contributors
- + More than 3000 GitHub stars
- + The source code of this software is available
- + Supported by a large company
Typical usage
- Digital forensics
- Intrusion detection
- Threat hunting
Intrigue Core
Introduction
Intrigue Core provides a framework to measure the attack surface of an environment. This includes discovering infrastructure and applications, performing security research, and doing vulnerability discovery.
Intrigue also allows enriching available data and perform OSINT research (open source intelligence). The related scans include DNS subdomain brute-forcing, email harvesting, IP geolocation, port scanning, and using public search engines like Censys, Shodan, and Bing.
Project details
Intrigue Core is written in Ruby.
Strengths and weaknesses
- + More than 500 GitHub stars
- + The source code of this software is available
Typical usage
- OSINT research
- Asset discovery
- Attack surface measurement
- Intelligence gathering
- Penetration testing
- Security assessment
MalPipe
Introduction
MalPipe is a modular malware and indicator collection and processing framework. It is designed to pull information about malware, domains, URLs, and IP addresses from multiple feeds. Finally, it will enrich the collected data and export the results.Project details
MalPipe is written in Python.
Strengths and weaknesses
- + The source code of this software is available
- - No releases on GitHub available
Typical usage
- Data enrichment
- Data processing
- Intrusion detection
- Malware analysis
- Malware detection
YARA
Introduction
YARA is a tool to identify and classify malware samples. It uses textual or binary patterns to match data, combined with a boolean expression to define a match. YARA is multi-platform, can be used via a command-line interface or via Python scripts using the yara-python extension.
Project details
YARA is written in C.
Strengths and weaknesses
- + More than 50 contributors
- + More than 2000 GitHub stars
- + The source code of this software is available
Typical usage
- Malware analysis
- Malware detection
- Malware scanning
bamfdetect
Introduction
With bamfdetect, malware and bots can be analyzed. It identifies and extracts information and returns data in JSON format.
Project details
bamfdetect is written in Python.
Strengths and weaknesses
- + The source code of this software is available
Typical usage
- Malware analysis
- Malware scanning
graudit
Introduction
Analysis of source code helps to find programming flaws including those that can lead to software vulnerabilities. Graudit helps to uncover these by searching through the files and discover possible flaws. The tool supports languages like ASP, C, Perl, PHP, Python, and others.
Project details
graudit is written in shell script.
Strengths and weaknesses
- + The source code is easy to read and understand
- + Tool is easy to use
- + Used language is shell script
- + The source code of this software is available
Typical usage
- Code analysis
FIR (Fast Incident Response)
Introduction
FIR is an incident response tool written in the Django framework. It provides a web interface to deal with the creation and management of security-related incidents.Project details
Strengths and weaknesses
- + More than 10 contributors
- + The source code of this software is available
Typical usage
- Incident response
- Security monitoring
LogonTracer
Introduction
LogonTracer is a tool to investigate malicious logins from Windows event logs with visualization capabilities.
Project details
LogonTracer is written in Python.
Strengths and weaknesses
- + More than 500 contributors
- + The source code of this software is available
Typical usage
- Criminal investigations
- Digital forensics
- Learning
Loki
Introduction
Loki is security tool to find so-called indicators of compromise (IOC). It does this by scanning files and then uses pattern matching.Project details
Loki is written in Python.
Strengths and weaknesses
- + More than 10 contributors
- + Commercial support available
- + More than 500 GitHub stars
- + The source code of this software is available
Typical usage
- Digital forensics
- Intrusion detection
- Security monitoring
Some relevant tool missing as an alternative to radare2? Please contact us with your suggestion.