graudit alternatives

Looking for an alternative tool to replace graudit? During the review of graudit 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. gosec (Golang security checker)
  2. Bandit (Python static code analyzer)
  3. Cppcheck (static code analyzer)

These tools are ranked as the best alternatives to graudit.

Alternatives (by score)

84

gosec

Introduction

Gosec is a security tool that performs a static code analysis for Golang projects for security flaws. The scan is performed on the so-called abstract syntax tree (AST). Gosec checks for common flaws that may be part of the selected project.

Project details

gosec is written in Golang.

Strengths and weaknesses

  • + More than 25 contributors
  • + More than 1000 GitHub stars
  • + The source code of this software is available

    Typical usage

    • Code analysis
    • Safe software development

    gosec review

    85

    Bandit

    Introduction

    Bandit is a tool that can be used during development or afterward. Typically this is used by developers to find common security issues in Python code before putting the code in production. Another use-case would be to use this tool to analyze existing projects and find possible flaws.

    Project details

    Bandit is written in Python.

    Strengths and weaknesses

    • + More than 50 contributors
    • + The source code of this software is available
    • + Supported by a large company

      Typical usage

      • Code analysis

      Bandit review

      93

      Cppcheck

      Introduction

      Cppcheck is a static code analysis tool for C and C++ code. It helps to discover bugs that would not be picked up by compilers, yet avoid any false positives.

      Project details

      Cppcheck is written in C++.

      Strengths and weaknesses

      • + Project is mature (10+ years)
      • + The source code of this software is available

        Typical usage

        • Code analysis

        Cppcheck review

        68

        PyT (Python Taint)

        Introduction

        Python Taint (or PyT) is a static code analyzer for Python scripts and applications. It tries to discover vulnerabilities or other possible weaknesses.

        Project details

        PyT is written in Python.

        Strengths and weaknesses

        • + The source code of this software is available

          Typical usage

          • Code analysis

          PyT review

          85

          Shellharden

          Introduction

          Shellharden helps to detect flaws in shell scripts that may result in vulnerabilities. While being similar to Shellcheck, this tool can apply the suggested changes to a shell script.

          Project details

          Shellharden is written in Rust.

          Strengths and weaknesses

          • + Tool is easy to use
          • + More than 3000 GitHub stars
          • + The source code of this software is available
          • - Full name of author is unknown

          Typical usage

          • Code analysis

          Shellharden review

          74

          gauntlt

          Introduction

          Gauntlt allows you to run different attacks on your code with the goal to build better software and withstand the biggest threats in existence.

          Project details

          gauntlt is written in Ruby.

          Strengths and weaknesses

          • + More than 10 contributors
          • + More than 500 GitHub stars
          • + The source code of this software is available

            Typical usage

            • Code analysis

            gauntlt 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

              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

                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

                  100

                  Brakeman

                  Introduction

                  Brakeman is a static code analysis tool for Ruby on Rails to perform a security review. It comes as an open source project with optional commercial support.

                  Project details

                  Brakeman is written in Ruby.

                  Strengths and weaknesses

                  • + Commercial support available
                  • + More than 5000 GitHub stars
                  • + The source code of this software is available
                  • - Commercial usage is restricted to some extent

                  Typical usage

                  • Code analysis

                  Brakeman review

                  56

                  Shellyzer

                  Introduction

                  Shell scripts are easy to create and often used by system administrator and developers. Although the language is fairly easy, there is a good number of best practices when creating them. Tools like Shellyzer can help auditing these scripts and improve the code or discover vulnerabilities.

                  Project details

                  Shellyzer is written in Python.

                  Strengths and weaknesses

                  • + The source code of this software is available
                  • - Unknown project license

                  Typical usage

                  • Code analysis

                  Shellyzer 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

                    78

                    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

                      PyREBox 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

                      arch-audit

                      Introduction

                      Arch-audit is a small utility that scans the system for known vulnerabilities on Arch Linux. It can be used by users of the Linux distribution to know when to update and what packages have weaknesses. With Arch Linux being a rolling distribution, this may improve the interval or timing of software patching.

                      Project details

                      arch-audit is written in Rust.

                      Strengths and weaknesses

                      • + The source code of this software is available

                        Typical usage

                        • Software management
                        • Vulnerability scanning

                        arch-audit review

                        100

                        Archery

                        Introduction

                        Archery is a tool that helps to collect data about vulnerabilities within an environment. Instead of focusing on the actual scanning, it allows managing findings in a web-based interface. This includes options like reporting, searching, and dashboards. It can interact with other tools, including the well-known vulnerability scanners.

                        Project details

                        Archery is written in Python.

                        Strengths and weaknesses

                        • + More than 500 GitHub stars
                        • + The source code of this software is available

                          Typical usage

                          • Penetration testing
                          • Vulnerability management
                          • Vulnerability scanning
                          • Vulnerability testing

                          Archery review

                          88

                          CMSeeK

                          Introduction

                          CMSeeK is a security scanner for content management systems (CMS). It can perform a wide range of functions starting from the detection of the CMS, up to vulnerability scanning. The tool claims to support over 100 different CMS tools, with extensive support for the commonly used ones like Drupal, Joomla, and WordPress.

                          The scans performed by CMSeeK include version detection. It can also do enumeration of users, plugins, and themes. This might be useful to see what users or components are available. The tool includes admin page discovery, file discovery, and directory listing. Anything that might be useful to a penetration test or security assessment, might be displayed.

                          Project details

                          CMSeeK is written in Python.

                          Strengths and weaknesses

                          • + The source code of this software is available
                          • - Full name of author is unknown

                          Typical usage

                          • Penetration testing
                          • Software exploitation
                          • Software identification
                          • Vulnerability scanning

                          CMSeeK review

                          60

                          Dagda

                          Introduction

                          The main reasons to use Dagda is the detection of vulnerable or malicious components within your containerized environment.

                          Project details

                          Dagda is written in Python.

                          Strengths and weaknesses

                          • + The source code of this software is available

                            Typical usage

                            • Malware detection
                            • Malware scanning
                            • Vulnerability management
                            • Vulnerability scanning

                            Dagda review

                            85

                            detectem

                            Introduction

                            Detectem can be a good early vulnerability detection system. By scanning regularly the dependencies of web applications, old versions of tools can be detected and upgraded. This tool is also helpful for penetration tests to find out what kind of software components are used.

                            Project details

                            detectem is written in Python.

                            Strengths and weaknesses

                            • + The source code of this software is available

                              Typical usage

                              • Application security
                              • Application testing
                              • Reconnaissance
                              • Vulnerability scanning

                              detectem 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

                                64

                                LFI Suite

                                Introduction

                                This tool is a useful addition to the pentesting toolbox of security professionals. It can help discover and exploit any local file inclusion weakness in applications. Upon success, a reverse shell can be used to get access to the system.

                                Project details

                                LFI Suite is written in Python.

                                Strengths and weaknesses

                                • + The source code of this software is available
                                • - Full name of author is unknown

                                Typical usage

                                • Penetration testing
                                • Web application analysis

                                LFI Suite review

                                97

                                OpenVAS

                                Introduction

                                OpenVAS is an open source vulnerability scanner that emerged from when Nessus became closed source in October of 2005.

                                Project details

                                OpenVAS is written in C.

                                Strengths and weaknesses

                                • + The source code of this software is available
                                • + Well-known tool

                                  Typical usage

                                  • Penetration testing
                                  • Security assessment
                                  • Vulnerability scanning

                                  OpenVAS review

                                  85

                                  Pocsuite

                                  Introduction

                                  Pocsuite is a remote vulnerability testing and development framework. It can be used by penetration testers and vulnerability researchers.

                                  Project details

                                  Pocsuite is written in Python.

                                  Strengths and weaknesses

                                  • + More than 10 contributors
                                  • + More than 1000 GitHub stars
                                  • + The source code of this software is available

                                    Typical usage

                                    • Vulnerability development
                                    • Vulnerability testing

                                    Pocsuite review

                                    60

                                    Pompem

                                    Introduction

                                    Pompem is written in Python and helps pentesters to search public sources for vulnerability information and a related exploit.

                                    Sources

                                    • CXSecurity
                                    • National Vulnerability Database
                                    • PacketStorm security
                                    • Vulners
                                    • WPScan Vulnerability Database
                                    • ZeroDay

                                    Project details

                                    Pompem is written in Python.

                                    Strengths and weaknesses

                                    • + The source code of this software is available

                                      Typical usage

                                      • Vulnerability scanning

                                      Pompem review

                                      89

                                      Safety

                                      Introduction

                                      When having applications deployed in your environment, not all of those may be installed via a package manager. When your infrastructure grows, it becomes even harder to know which tools are properly patched and which ones are not. For Python applications, this is where Safety comes in that can help scan installed software components via pip. It will also look at any of the dependencies that are installed.

                                      Project details

                                      Safety is written in Python.

                                      Strengths and weaknesses

                                      • + More than 10 contributors
                                      • + The source code of this software is available

                                        Typical usage

                                        • Penetration testing
                                        • Security assessment
                                        • Security monitoring
                                        • Vulnerability scanning

                                        Safety review

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