SearchSploit alternatives

Looking for an alternative tool to replace SearchSploit? During the review of SearchSploit 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. vFeed (vulnerability database and query engine)
  2. vulnerability-alerter (retrieve vulnerability data from NIST)
  3. VulnFeed (vulnerability feed parser)

These tools are ranked as the best alternatives to SearchSploit.

Alternatives (by score)

78

vFeed

Introduction

vFeed consists of a database and utilities to store vulnerability data. It uses third-party references and data, which then can be used to see if a software component has a known vulnerability. The data itself is enriched by cross-checking it and store additional details about the vulnerabilities.

The vFeed tooling has an API available with JSON output. It can be used by security researchers and practitioners to validate vulnerabilities and retrieve all available details.

Project details

vFeed is written in Python.

Strengths and weaknesses

  • + Commercial support available
  • + The source code of this software is available

    Typical usage

    • Security assessment
    • Vulnerability scanning

    vFeed review

    60

    vulnerability-alerter

    Introduction

    Vulnerability-alerter is a security tool to retrieve vulnerability data from NIST's database (NVD). This data can be used to discover recent vulnerabilities.

    Project details

    vulnerability-alerter is written in Python.

    Strengths and weaknesses

    • + The source code of this software is available

      Typical usage

      • Vulnerability management
      • Vulnerability testing

      vulnerability-alerter review

      64

      VulnFeed

      Introduction

      VulnFeed is a tool that sorts through vulnerability reports, providing a single report that is organized by the applications and services you are interested in.

      Project details

      VulnFeed is written in Python.

      Strengths and weaknesses

      • + The source code of this software is available

        Typical usage

        • Vulnerability management

        VulnFeed review

        72

        AutoSploit

        Introduction

        AutoSploit attempts to automate the exploitation of remote hosts for security assessments. Targets can be collected automatically or manually provided. Automatic sources include Censys, Shodan, and Zoomeye.

        Project details

        AutoSploit is written in Python.

        Strengths and weaknesses

        • + More than 10 contributors
        • + More than 3000 GitHub stars
        • + The source code of this software is available

          Typical usage

          • Service exploitation
          • System exploitation

          AutoSploit review

          60

          Bowcaster

          Introduction

          Bowcaster is a framework to create exploits. It is written in Python and comes with a set of tool and modules to help exploit development.

          Project details

          Bowcaster is written in Python.

          Strengths and weaknesses

          • + The source code of this software is available
          • - No updates for a while

          Typical usage

          • Exploit development
          • Penetration testing

          Bowcaster 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

            84

            Findsploit

            Introduction

            Findsploit is a simple script to search both local and online exploit databases. Typically this is used by penetration testers during a security assignment.

            Project details

            Findsploit is written in shell script.

            Strengths and weaknesses

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

            Typical usage

            • Intrusion detection
            • Penetration testing
            • Reconnaissance
            • Security assessment

            Findsploit review

            60

            Belati

            Introduction

            Belati is security tool to collect public data and information and calls itself a Swiss army knife for OSINT purposes.

            Project details

            Belati is written in Python.

            Strengths and weaknesses

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

            Typical usage

            • Information gathering

            Belati review

            74

            DataSploit

            Introduction

            DataSploit is a framework to perform intelligence gathering to discover credentials, domain information, and other information related to the target. It uses various reconnaissance techniques on companies, people, phone numbers, and even cryptocoin technology. It allows aggregating all raw data and return it in multiple formats.

            Project details

            DataSploit 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

              • Information gathering
              • OSINT research
              • Security monitoring

              DataSploit review

              76

              dirsearch

              Introduction

              Dirsearch is a tool to guide security professionals to find possible information leaks or sensitive data. It does this by looking for directory and file names.

              Project details

              dirsearch is written in Python.

              Strengths and weaknesses

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

                Typical usage

                • Information gathering
                • Penetration testing
                • Security assessment

                dirsearch review

                64

                DirSearch (Go)

                Introduction

                DirSearch is a Go implementation of the original dirsearch tool written by Mauro Soria. It is used to discover directories by using common names and guessing (fuzzing).

                Project details

                DirSearch (Go) is written in Golang.

                Strengths and weaknesses

                • + The source code of this software is available

                  Typical usage

                  • Information gathering
                  • Penetration testing
                  • Security assessment

                  DirSearch (Go) review

                  64

                  Domain Analyzer

                  Introduction

                  Domain Analyzer is an information gathering tool and comes in handy for reconnaissance. This can be useful for doing penetration testing or evaluating what information is publically available about your own domains. Some pieces of information that can be discovered include DNS servers, IP addresses, mail servers, SPF information, open ports, and more.

                  Project details

                  Domain Analyzer is written in Python.

                  Strengths and weaknesses

                  • + More than 1000 GitHub stars
                  • + Very low number of dependencies
                  • + The source code of this software is available

                    Typical usage

                    • Information gathering
                    • Penetration testing

                    Domain Analyzer review

                    76

                    Gitem

                    Introduction

                    Gitem is a reconnaissance tool to extract information about organizations on GitHub. It can be used to find the leaking of sensitive data.

                    Project details

                    Gitem is written in Python.

                    Strengths and weaknesses

                    • + The source code of this software is available

                      Typical usage

                      • Information gathering
                      • Security assessment
                      • Security monitoring
                      • Self-assessment

                      Gitem review

                      60

                      Gitrob

                      Introduction

                      Especially open source developers may share their code in a public repository like GitHub. This is a great way to collaborate between the developer(s) and the community. The risk of sharing code is that sensitive data is part of the repository and uploaded by accident. GitRob helps to detect this kind of accidental leaks.

                      Project details

                      Gitrob is written in Ruby.

                      Strengths and weaknesses

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

                        Typical usage

                        • Data leak prevention
                        • Information gathering
                        • Penetration testing
                        • Security assessment

                        Gitrob review

                        64

                        Infoga

                        Introduction

                        This tool could be used during penetration testing to learn what information is leaked regarding email addresses. For a company, it may be useful to do security monitoring and learn the same.

                        Project details

                        Infoga is written in Python.

                        Strengths and weaknesses

                        • + The source code of this software is available

                          Typical usage

                          • Information gathering
                          • Reconnaissance

                          Infoga review

                          56

                          Metagoofil

                          Introduction

                          Metagoofil will perform a search in Google based on the given domain name. Any public documents will be downloaded and analyzed. For this task it uses libraries like Hachoir, PdfMiner, and others. Useful details include username, software versions, hostnames, etc.

                          File types: pdf, doc, xls, ppt, docx, pptx, xlsx

                          Project details

                          Metagoofil is written in Python.

                          Strengths and weaknesses

                          • + The source code of this software is available

                            Typical usage

                            • Information gathering
                            • Penetration testing

                            Metagoofil review

                            100

                            osquery

                            Introduction

                            The osquery tool allows querying your Linux, Windows, and macOS infrastructure. It can help with intrusion detection, infrastructure reliability, or compliance.

                            Project details

                            osquery is written in C++, Python.

                            Strengths and weaknesses

                            • + More than 100 contributors
                            • + More than 9000 stars
                            • + The source code of this software is available
                            • + Supported by a large company

                              Typical usage

                              • Compliance testing
                              • Information gathering
                              • Security monitoring

                              osquery review

                              60

                              OSRFramework

                              Introduction

                              This OSINT framework allows combining sources and provide data in different formats (web interface, API, command line).

                              Project details

                              OSRFramework is written in Python.

                              Strengths and weaknesses

                              • + Available as package (simplified installation)
                              • + The source code of this software is available
                              • - No releases on GitHub available

                              Typical usage

                              • Information gathering

                              OSRFramework review

                              60

                              otseca

                              Introduction

                              Tools like otseca help with data collection. This could be useful for system administrators to collect data on a regular interval. This data then can be compared with a future data capture. Another possibility is to use it during pentesting. In that case one should have already obtained root access, as the tool requires this as well.

                              Project details

                              otseca is written in shell script.

                              Strengths and weaknesses

                              • + The source code is easy to read and understand
                              • + Tool is modular and extendable
                              • + The source code of this software is available

                                Typical usage

                                • Configuration audit
                                • Penetration testing
                                • Security assessment

                                otseca review

                                64

                                RTA (Red Team Arsenal)

                                Introduction

                                RTA is helpful to automate scanning public resources of a company. As the project name implies, this may be used during red teaming, like a penetration test. That obviously does not limit its use, as it is similarly useful by the blue team.

                                With its integration with Nessus and other tools, RTA is more of a toolkit. This can be seen in its functionality, like subdomain enumeration and information gathering capabilities.

                                Project details

                                RTA is written in Python.

                                Strengths and weaknesses

                                • + The source code of this software is available
                                • - No releases on GitHub available

                                Typical usage

                                • Information gathering
                                • Penetration testing
                                • Security assessment
                                • System enumeration

                                RTA review

                                60

                                theHarvester

                                Introduction

                                This tool is a typical information collection tool to retrieve public data and get it all into one place. It is useful for penetration tests, or if you want to see what is available for your company.

                                Project details

                                78

                                Wappalyzer

                                Introduction

                                Wappalyzer can be a useful asset when performing reconnaissance on a particular target like a web application or website. It helps to find what software is used to run a particular page. Components that can be detected are the content management system (CMS), JavaScript framework, e-commerce software, web server, and more.

                                Project details

                                Wappalyzer is written in Node.js.

                                Strengths and weaknesses

                                • + Has 300+ contributors
                                • + More than 4000 GitHub stars
                                • + Many releases available
                                • + The source code of this software is available

                                  Typical usage

                                  • Information gathering
                                  • Reconnaissance
                                  • Software identification

                                  Wappalyzer review

                                  64

                                  web-hunter

                                  Introduction

                                  Tools like web-hunter help with information gathering. This can be useful for penetration testing or when doing a self-assessment on your organization.

                                  Project details

                                  web-hunter is written in Python.

                                  Strengths and weaknesses

                                  • + The source code of this software is available

                                    Typical usage

                                    • Information gathering

                                    web-hunter review

                                    64

                                    weblocator

                                    Introduction

                                    The weblocator security tool performs a discovery search to find directories and files. This can be useful for penetration tests to find sensitive data.

                                    Project details

                                    weblocator is written in Python.

                                    Strengths and weaknesses

                                    • + The source code of this software is available

                                      Typical usage

                                      • Information gathering
                                      • Penetration testing
                                      • Security assessment

                                      weblocator review

                                      60

                                      wig (WebApp Information Gatherer)

                                      Introduction

                                      Wig is a security tool to discover what particular software is for a web application or website. It can detect several Content Management Systems (CMS) and other administrative applications. This may be useful for those performing reconnaissance or information gathering, like during a penetration test of security assessment.

                                      Project details

                                      wig is written in Python.

                                      Strengths and weaknesses

                                      • + The source code of this software is available
                                      • - No updates for a while
                                      • - Full name of author is unknown

                                      Typical usage

                                      • Application fingerprinting
                                      • Information gathering
                                      • Reconnaissance
                                      • Web application analysis

                                      wig review

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