Open Source Linux OSINT Tools - Page 4
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OSINT Tools for Linux
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Hcon Security Testing Framework
Open Source Penetration Testing / Ethical Hacking Framework
HconSTF is Open Source Penetration Testing Framework based on different browser technologies, Which helps any security professional to assists in the Penetration testing or vulnerability scanning assessments.contains webtools which are powerful in doing xss(cross site scripting), Sql injection, siXSS, CSRF, Trace XSS, RFI, LFI, etc. Even useful to anybody interested in information security domain - students, Security Professionals,web developers, manual vulnerability assessments and much more. -
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Public Intelligence Tool
Simple Portable Web Browser for Open Source Intelligence
This is a Project I have been working on I call it PITT or Public Intelligence Tool, It is built of the open source web browser Iron, filled with links for searching tons for Public Information. There a similar tools on the market but I laid mine out the way I like it, and I hope everyone else will to. I will be hopefully trying to update this tool weekly with new links and information, making new improvements. I Have the discussions open if you want to add anything new or feel something should change just write it and il research it and add it in. Please use the tool responsibly and give credit where credit is due. This tool is not for criminal uses, it is only for Official use with proper permissions. I do not own any links in here. Be Awesome with a 100% Free Donation :D - http://adf.ly/4228472/free-donation !Contains Ads! It is for use by Security Researchers, Government Agencies, Law Enforcement, Student Research and Legal Red Teaming and Penetration Testing -
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zynix-fusion
zynix-Fusion is a framework for hacking
zynix-Fusion is a framework that aims to centralize, standardizeand simplify the use of various security tools for pentest professionals.zynix-Fusion (old name: Linux evil toolkit) has few simple commands, one of which is theinit function that allows you to define a target, and thus use all the toolswithout typing anything else. -
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Sn1per
Attack Surface Management Platform | Sn1perSecurity LLC
Sn1per Professional is an all-in-one offensive security platform that provides a comprehensive view of your internal and external attack surface and offers an asset risk scoring system to prioritize, reduce, and manage risk. With Sn1per Professional, you can discover the attack surface and continuously monitor it for changes. It integrates with the leading open source and commercial security testing tools for a unified view of your data. -
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Scalytics Open Intelligence - OSINT
Open OSINT stack for monitoring, analysis, and risk detection
EUOSINT is the open-source edition of the OSINT pipeline built by Scalytics for real-world intelligence monitoring, situation analysis, and risk detection. It is not a toy dashboard or a loose script bundle. It is a packaged operational stack with a web interface, a Go-based collector runtime, configurable ingestion and refresh cadence, Docker-first deployment, and local or server installation options. The public release removes non-public and protected integrations while preserving the pipeline structure and deployment model that make the system usable in practice. EUOSINT is built for teams that need continuous monitoring, reproducible installs, and a base they can extend for their own intelligence and security workflows. -
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AttackSurfaceMapper
Automated tool for mapping & expanding organization’s attack surface
AttackSurfaceMapper (ASM) is a reconnaissance and attack surface discovery tool designed to automate the process of mapping potential targets within an organization's infrastructure. It combines open source intelligence (OSINT) with selective active reconnaissance techniques to expand and analyze a target’s external attack surface. Users can supply domains, subdomains, or IP addresses as input, and applies multiple discovery methods to identify additional related assets such as new subdomains, associated IP ranges, and hosts within the same network ownership. It performs both brute-force and passive enumeration techniques to uncover infrastructure components that may not be immediately visible. After building an expanded list of targets, AttackSurfaceMapper collects intelligence such as screenshots of web applications, information about exposed services, and possible vulnerabilities identified through integrated services. It can also search for publicly exposed credentials. -
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CrossLinked
LinkedIn employee enumeration tool using search engine scraping
CrossLinked is an open source LinkedIn enumeration tool designed to collect employee names associated with a target organization. Instead of accessing LinkedIn directly or relying on its API, it performs search engine scraping using services such as Google and Bing to discover public LinkedIn profile results. By analyzing these search results, CrossLinked extracts employee names and processes them into usable formats for security assessments or reconnaissance activities. This approach allows the tool to operate without credentials, authentication tokens, or LinkedIn account access. CrossLinked is commonly used by penetration testers and security professionals during the reconnaissance phase to identify potential usernames or email address formats for a target organization. It also supports customizable naming templates, enabling users to generate usernames or email formats that match corporate account conventions. -
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Fav-up
Look up IP addresses using favicon hashes via Shodan
fav-up is an open source reconnaissance utility designed to identify servers and websites by analyzing favicon hashes and querying the Shodan search engine. It calculates the hash of a favicon image and then uses that value to search Shodan for other hosts that use the same icon. This technique is commonly used in security research and OSINT investigations to discover related infrastructure or services that may belong to the same organization. fav-up can retrieve favicon data from several sources, including local files, direct favicon URLs, or full web pages where the favicon is automatically extracted. fav-up then computes the favicon hash and performs Shodan queries to locate IP addresses that match the same hash. To support larger investigations, the tool can iterate over lists of URLs, domains, or favicon files in bulk. Results can be printed to the console or exported into structured formats such as CSV or JSON for further analysis and reporting. -
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FavFreak
Favicon hash–based reconnaissance tool for security research
FavFreak is an open source reconnaissance tool designed to assist security researchers, bug bounty hunters, and penetration testers in identifying web technologies using favicon hashes. It works by taking one or more URLs as input and automatically retrieving the favicon.ico file associated with each target website. After fetching the favicon, it calculates a hash value and organizes the scanned domains, subdomains, or IP addresses according to these hashes. FavFreak then compares the generated hashes against a predefined fingerprint dictionary that maps known favicon hashes to specific technologies or services. If a match is found, it displays the corresponding technology information in the output, helping researchers quickly identify potential targets or related infrastructure. This approach is particularly useful during reconnaissance phases of security assessments because many web services share identical favicon hashes. -
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GitGot
Semi-automated tool for discovering exposed secrets in GitHub data
GitGot is an open source security tool designed to help users quickly search large amounts of public data on GitHub to identify potentially exposed secrets. It operates as a semi-automated, feedback-driven system that combines automated search capabilities with human guidance to refine results during investigation. GitGot leverages the GitHub Search API to perform queries across repositories, files, and gists, allowing security researchers and penetration testers to discover sensitive information that may have been unintentionally exposed in public code. During a search session, users review results and provide feedback that allows GitGot to filter out irrelevant or repetitive findings. This feedback is used to build blacklists that eliminate results based on repository names, file names, user names, or fuzzy matches of file content. The approach helps reduce noise while guiding the search process toward more relevant results. -
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GitHound
Search GitHub for leaked API keys, credentials, and exposed secrets
GitHound is a reconnaissance and security scanning tool designed to search GitHub for exposed secrets such as API keys, credentials, and other sensitive tokens. It works by combining GitHub search queries (often called “GitHub dorks”) with pattern matching techniques to locate potential secrets across public repositories. Instead of scanning only a limited set of repositories, the tool leverages GitHub’s Code Search API to analyze results from across the entire public GitHub ecosystem, including repositories and Gists. GitHound examines files returned by search queries and applies detection methods such as regex pattern matching, entropy analysis, and contextual evaluation to identify likely credentials. It can also dig into commit history to uncover secrets that may have been removed or reverted but still exist in older revisions. This capability makes it useful for security researchers, DevSecOps teams, and bug bounty hunters who need to detect leaked credentials. -
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Hakrawler
Fast Go web crawler for discovering URLs and web app endpoints
hakrawler is a lightweight command-line web crawler built in Go that is designed to quickly discover URLs, endpoints, and assets within web applications. It is primarily used during the reconnaissance phase of security testing, bug bounty hunting, and penetration testing. It works by automatically crawling web pages and extracting links, JavaScript file locations, and other resources that may reveal additional attack surface or hidden functionality. hakrawler is implemented as a simple and efficient crawler using the Gocolly library, which allows it to perform fast and concurrent crawling of web pages. It accepts URLs through standard input, making it easy to integrate into command-line pipelines with other security tools. This workflow enables researchers to combine it with subdomain enumeration, HTTP probing, and vulnerability scanning utilities to automate reconnaissance processes. hakrawler can follow links within a website and optionally include subdomains. -
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IPRanges
Daily updated lists of cloud, bot, and service IP ranges
ipranges is an open source repository that provides continuously updated lists of IP address ranges associated with major cloud providers, search engine crawlers, and online services. ipranges collects IP ranges from publicly available sources and organizes them into structured files that can be easily used in security, networking, and automation workflows. It includes address ranges from providers such as Google Cloud, Amazon AWS, Microsoft, Oracle Cloud, and DigitalOcean, as well as well known service platforms like GitHub, Facebook, Twitter, and Telegram. It also tracks IP ranges used by search engine bots and automated agents including Googlebot, Bingbot, and OpenAI’s GPTBot. Lists are published in both IPv4 and IPv6 formats and are regularly updated through automated processes to keep the data current. In addition to provider specific lists, the project also offers merged and combined datasets that aggregate ranges from multiple sources into a single file. -
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ISeeYou
Location tracking tool for social engineering and phishing tests
I-See-You is an open source Bash and JavaScript tool designed to capture the geographic location of a target during social engineering or phishing engagements. It works by generating a link that can be sent to a target as part of a phishing scenario, where the webpage requests permission to access the user’s location. When the user allows location access, I-See-You records the latitude and longitude coordinates and displays them in the terminal logs for the operator. These coordinates can then be used to determine the user’s approximate physical location using mapping services. It is intended for reconnaissance during security testing, allowing penetration testers or red team operators to gather contextual information about potential targets. It operates by exposing a locally hosted server to the internet so the target can access the generated page and trigger the location request. I-See-You is intended strictly for educational purposes and authorized testing environments. -
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IVRE
Open source framework for large scale network reconnaissance and analy
IVRE is an open source network reconnaissance framework designed to collect, process, and analyze intelligence gathered from network scans and traffic data. It provides tools for both active and passive reconnaissance, enabling users to understand how networks behave and identify exposed services or infrastructure. The framework integrates with well known security and scanning tools such as Nmap, Masscan, ZGrab2, ZDNS, and Zeek to gather large amounts of network intelligence. IVRE stores the collected data in a database and offers multiple ways to explore and analyze it, including a web interface, command line tools, and a Python API. This allows security professionals to query scan results, inspect network flows, and identify patterns across large datasets. The project can be used to build self hosted alternatives to internet scanning services such as Shodan or Censys, giving organizations full control over their own reconnaissance infrastructure. -
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Inventory
Asset inventory dataset for public bug bounty program targets
Trickest Inventory is an open source dataset and workflow collection designed to provide an extensive asset inventory for public bug bounty programs. The repository tracks and organizes security-relevant assets for more than 800 companies participating in public vulnerability disclosure and bug bounty initiatives. It collects information such as DNS records and web server data, helping security researchers better understand the attack surface of these programs. It aims to streamline reconnaissance for bug bounty hunters by providing ready-to-use asset information so researchers can quickly begin testing new targets. It also helps security teams gain clearer visibility into their exposed infrastructure and publicly reachable systems. Much of the data in the repository is generated automatically through workflows that gather, transform, and consolidate bug bounty program data from multiple sources. -
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Phishing Catcher
Real-time phishing domain detection via Certificate Transparency logs
phishing_catcher is a security monitoring tool designed to detect potential phishing domains in near real time by analyzing TLS certificate issuance events. It listens to Certificate Transparency (CT) logs through the CertStream API and evaluates newly issued certificates as they appear. Each certificate often contains one or more domain names, which the tool analyzes to determine whether they resemble suspicious or phishing-related domains. phishing_catcher applies a configurable scoring mechanism that assigns numeric values to certain keywords, patterns, or top-level domains found within certificate domain names. When a domain’s score exceeds predefined thresholds, it is flagged as potentially malicious and reported accordingly. It operates continuously, processing certificate updates as they arrive and displaying or logging domains that appear suspicious. This approach allows analysts, researchers, and security teams to identify phishing infrastructure early. -
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Somedo
Social Media Downloader
Social Media Downloader for Open Source Intelligence purpos. Supportes so far: Facebook Instagram Twitter -
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Sudomy
Sudomy is a subdomain enumeration tool to collect subdomains
Sudomy is a subdomain enumeration tool to collect subdomains and analyze domains performing advanced automated reconnaissance (framework). This tool can also be used for OSINT (Open-source intelligence) activities. Easy, light, fast and powerful. Bash script (controller) is available by default in almost all Linux distributions. By using bash script multiprocessing feature, all processors will be utilized optimally. Subdomain enumeration process can be achieved by using active method or passive method. Sudomy utilize Gobuster tools because of its highspeed performance in carrying out DNS Subdomain Bruteforce attack (wildcard support). The wordlist that is used comes from combined SecList (Discover/DNS) lists which contains around 3 million entries. By evaluating and selecting the good third-party sites/resources, the enumeration process can be optimized. More results will be obtained with less time required. -
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TIDoS
Python web penetration testing framework with modular security tools
TIDoS-Framework is an open source web application penetration testing framework designed to assist security researchers and ethical hackers in identifying vulnerabilities in web systems. It provides a comprehensive environment for performing multiple phases of security assessment, including reconnaissance, scanning, enumeration, vulnerability analysis, and exploitation. Its modular architecture contains more than one hundred modules organized into several testing phases, allowing users to automate or manually run different security checks against a target application. The framework includes both graphical and command-line interfaces, enabling flexible interaction depending on the user’s workflow and preferred interface. A console interface inspired by tools like Metasploit allows testers to execute modules, manage targets, and perform operations efficiently. TIDoS is implemented in Python and supports multiprocessing to speed up scanning and testing operations. -
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TorBot
Dark Web OSINT Tool
Contributions to this project are always welcome. To add a new feature fork the dev branch and give a pull request when your new feature is tested and complete. If its a new module, it should be put inside the modules directory. The branch name should be your new feature name in the format <Feature_featurename_version(optional)>. On Linux platforms, you can make an executable for TorBot by using the install.sh script. You will need to give the script the correct permissions using chmod +x install.sh Now you can run ./install.sh to create the torBot binary. Run ./torBot to execute the program. Crawl custom domains.(Completed). Check if the link is live.(Completed). Built-in Updater.(Completed). TorBot GUI (In progress). Social Media integration.(not Started). -
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XRAY
XRay for recon, mapping and OSINT gathering from public networks
XRAY is a modular security toolset that helps developers and security professionals analyze, fuzz, and test web applications, protocols, and network services for vulnerabilities. It provides a framework for writing and executing inspection modules that can parse structured data (JSON, XML, HTML), traverse graphs of endpoints, and perform intelligent probing guided by discovered surface area. XRay is typically used as a reconnaissance and vulnerability discovery engine in red-team or app-security workflows: it leverages extensible plugins to adapt to different protocols, inject payloads, and detect common bug classes such as injection flaws, misconfigurations, and unsafe endpoints. The modular architecture means users can customize or extend the engine with new analyzers, fuzzers, or output formats tailored to specific testing environments. Rather than being a “one-size-fits-all” black box scanner, XRAY encourages interactive exploration and integrates with other tooling. -
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Yark
Simple OSINT tool for archiving and browsing YouTube channels offline
Yark is an open source command-line tool designed to simplify the process of archiving YouTube channels for research, analysis, or personal preservation. The project focuses on OSINT (Open Source Intelligence) workflows by allowing users to collect and store videos, metadata, and thumbnails from a YouTube channel in a structured local archive. Instead of simply downloading individual videos, Yark creates a self-contained archive directory that includes metadata files and organized folders for media assets. This format allows users to maintain a historical record of a channel and track updates or changes over time. The tool also provides a local offline web interface that lets users browse and watch archived videos directly in their browser. Because archives are updated using timestamps, users can refresh an existing archive to add newly published content without recreating the entire dataset. Overall, Yark aims to make YouTube archiving and channel analysis easier. -
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YoungerSibling
YoungerSibling: Cross-platform OSINT tool for quick data gathering.
YoungerSibling is a Python-based terminal utility script designed for educational purposes. It provides a set of useful tools to perform tasks like searching the web, performing lookups (Google search, IP lookup, username lookup, etc.), and extracting metadata from images, directly from the terminal. This project aims to help students, developers, and hobbyists learn about web scraping, API usage, and terminal interaction with Python. -
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cloud_enum
Multi-cloud OSINT tool for discovering public cloud resources
cloud_enum is an open source reconnaissance and OSINT tool designed to discover publicly accessible cloud resources across major cloud providers. It focuses on enumerating assets in Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform using keyword-based discovery techniques. It works by taking user-provided keywords and generating variations through mutation wordlists, then testing these combinations against common cloud service naming patterns. cloud_enum performs both HTTP probing and DNS lookups to identify resources such as storage buckets, cloud applications, and databases that may be exposed or accessible. cloud_enum uses concurrent processing to speed up scanning, enabling efficient enumeration of large numbers of possible resource names. It can identify both publicly accessible and protected resources, helping security researchers understand the external cloud footprint of an organization.
