PyREBox alternatives

Looking for an alternative tool to replace PyREBox? During the review of PyREBox we looked at other open source tools. Based on their category, tags, and text, these are the ones that have the best match.

Top 3

  1. Cutter (graphical user interface for radare2)
  2. LIEF (library for analysis of executable formats)
  3. radare2 (reverse engineering tool and binary analysis)

These tools are ranked as the best alternatives to PyREBox.

Alternatives (by score)

89

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

    Cutter review

    74

    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

      LIEF review

      100

      radare2

      Introduction

      Radare2 is a popular framework to perform reverse engineering on many different file types. It can be used to analyze malware, firmware, or any other type of binary files. Besides reverse engineering, it can be used for forensics on filesystems and do data carving. Tasks can be scripted and support languages like JavaScript, Go, and Python. Even software exploitation is one of the functions it can be used in.

      Project details

      radare2 is written in C.

      Strengths and weaknesses

      • + More than 500 contributors
      • + More than 8000 GitHub stars
      • + Many releases available
      • + The source code of this software is available

        Typical usage

        • Digital forensics
        • Reverse engineering
        • Software exploitation
        • Troubleshooting

        radare2 review

        88

        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

          r2frida review

          64

          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

          Binary Analysis Next Generation review

          84

          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

            BAP review

            85

            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

              Manticore review

              64

              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

                PEDA review

                68

                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

                  pyelftools review

                  100

                  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

                    Frida review

                    60

                    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

                      bamfdetect review

                      78

                      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

                        • Asset discovery
                        • Attack surface measurement
                        • Intelligence gathering
                        • OSINT research
                        • Penetration testing
                        • Security assessment

                        Intrigue Core review

                        76

                        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

                          Malice review

                          64

                          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

                          MalPipe review

                          64

                          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

                            Mal Tindex review

                            84

                            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

                              MultiScanner review

                              78

                              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

                              SSMA review

                              81

                              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

                                YARA review

                                68

                                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

                                  YaraGuardian review

                                  74

                                  angr

                                  Introduction

                                  Tools like angr are great for performing in-depth analysis of binaries. This could be the analysis of an unknown binary, like a collected malware sample.

                                  Project details

                                  angr is written in Python.

                                  Strengths and weaknesses

                                  • + More than 50 contributors
                                  • + More than 1000 GitHub stars
                                  • + The source code of this software is available

                                    Typical usage

                                    • Binary analysis
                                    • Malware analysis

                                    angr review

                                    60

                                    elf2json

                                    Introduction

                                    The elf2json converts an ELF binary into JSON output and helping with reverse engineering and malware analysis.

                                    Project details

                                    85

                                    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

                                      graudit review

                                      85

                                      ntopng

                                      Introduction

                                      The ntopng replaced the older ntop utility. It now focuses on high-speed traffic analysis and flow collection. Typically this is useful for analysis of network traffic and troubleshooting of overused network links.

                                      Project details

                                      ntopng is written in C++.

                                      Strengths and weaknesses

                                      • + The source code of this software is available

                                        Typical usage

                                        • Network analysis
                                        • Troubleshooting

                                        ntopng review

                                        70

                                        Xplico

                                        Introduction

                                        With Xplico analysis can be performed on captured internet traffic. The data stored in a pcap file can then be displayed and the related protocol data can be extracted from the capture file. This may include emails, HTTP sessions, VoIP calls, or anything that can be recognized and stored.

                                        Project details

                                        60

                                        Jackhammer

                                        Introduction

                                        The tool uses RBAC (Role Based Access Control) with different levels of access. Jackhammer uses several tools to do dynamic and static code analysis (e.g. for Java, Ruby, Python, and Nodejs). It checks also for vulnerabilities in libraries. Due to its modular architecture, it can use several scanners out of the box, with options to add your own.

                                        The Jackhammer project was initially added to GitHub on the 8th of May, 2017.

                                        Project details

                                        Jackhammer is written in Ruby.

                                        Strengths and weaknesses

                                        • + The source code of this software is available

                                          Typical usage

                                          • Collaboration
                                          • Information sharing

                                          Jackhammer review

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