Open Source OSINT Tools - Page 4
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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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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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Oculus
Oculus - OSINT VM
A pre-configured Kali Linux virtual machine designed for Open Source Intelligence investigations, including essential tools for reconnaissance, social media research, metadata analysis, and reporting, with privacy and cleanup adjustments applied -
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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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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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BlackWidow
Python web scanner for OSINT gathering and OWASP vulnerability fuzzing
BlackWidow is a Python-based web application scanning tool designed to crawl target websites and collect open-source intelligence (OSINT) while identifying potential security vulnerabilities. It functions as a web spider that systematically explores a site to gather valuable information such as URLs, dynamic parameters, subdomains, email addresses, and phone numbers associated with the target domain. By automatically extracting this data, BlackWidow helps security professionals and researchers build a clearer understanding of a website’s structure and publicly accessible information. In addition to information gathering, the project includes a built-in fuzzing component called Inject-X, which tests dynamic URLs for common vulnerabilities listed in the OWASP Top 10. The scanner analyzes parameters and injects payloads to detect issues such as SQL injection, cross-site scripting (XSS), and open redirect vulnerabilities. -
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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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Findomain
Fast open source tool for discovering and monitoring domain subdomains
Findomain is an open source reconnaissance tool designed to discover and enumerate subdomains associated with a target domain. It focuses on speed and reliability by using Certificate Transparency logs and multiple well tested public APIs instead of relying solely on brute force scanning techniques. By querying multiple passive data sources in parallel, the tool can identify a large number of subdomains within a short time, making it useful for security researchers, penetration testers, and bug bounty hunters. Findomain aggregates information from various online services to provide a comprehensive list of discovered subdomains without directly attacking the target infrastructure. The tool also supports monitoring capabilities that allow users to track newly discovered subdomains and send alerts through integrations such as messaging platforms. Written in Rust, Findomain benefits from strong performance, safe concurrency, and cross platform compatibility. -
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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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Gitrob
Scans GitHub repositories for potentially sensitive files
Gitrob is an open source reconnaissance tool designed to identify potentially sensitive files that have been committed to public GitHub repositories. It helps security professionals, researchers, and organizations detect accidental data exposure by scanning repositories associated with specific GitHub users or organizations. The tool works by cloning repositories and analyzing their commit history to search for files that match predefined signatures of sensitive data. These signatures are used to flag items such as credentials, private keys, configuration files, and other materials that may expose confidential information. By automatically inspecting repository histories, Gitrob simplifies the process of identifying security risks that might otherwise remain unnoticed in publicly accessible codebases. The results of the scan are presented through a built-in web interface that allows users to browse findings, review flagged files, and analyze potential leaks more efficiently. -
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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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HostHunter
OSINT reconnaissance tool for discovering hostnames from IP addresses
HostHunter is an open source reconnaissance tool designed to discover and extract hostnames associated with a large set of IPv4 or IPv6 addresses. It helps security professionals map IP addresses to virtual hostnames using a combination of OSINT data sources and active reconnaissance techniques. This approach enables users to identify hidden or additional services that may be hosted behind a single IP address. By correlating hostname information from certificates, APIs, HTTP headers, and other sources, the tool helps reveal the broader attack surface of an organization or infrastructure. HostHunter is commonly used in penetration testing, bug bounty reconnaissance, and security assessments where identifying virtual hosts is critical. HostHunter supports multiple output formats, making it easier to integrate the results into other security tools or workflows. -
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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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Mantis
Automated framework for asset discovery and vulnerability scanning
Mantis is an open source security framework designed to automate the workflow of asset discovery, reconnaissance, and vulnerability scanning for organizations and security teams. Mantis operates through a command line interface and accepts targets such as top level domains, IP addresses, or network ranges as input. From these inputs, it automatically discovers associated digital assets including subdomains and SSL certificates, allowing users to map the attack surface of a system. After discovery, the framework performs reconnaissance on active assets to gather technical information such as open ports, technologies, network details, and hosting infrastructure. Mantis then conducts security scans to identify vulnerabilities, exposed secrets, configuration weaknesses, and potentially malicious phishing domains. It integrates both open source and custom security tools to automate multiple phases of a security assessment in a single workflow. -
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OneForAll
OneForAll is a powerful subdomain collection tool
OneForAll is a comprehensive subdomain enumeration and reconnaissance tool primarily used in penetration testing and bug bounty workflows. Built in Python, it aggregates results from numerous DNS, certificate transparency, search engine, and threat intelligence sources to uncover hidden subdomains. The tool is particularly notable for incorporating many Chinese data sources that are often missed by Western-focused recon tools, increasing discovery coverage. It supports brute-force subdomain discovery, recursive scanning, and takeover detection to help identify potential attack surfaces. OneForAll also performs validation and enrichment of discovered domains, producing structured outputs for further analysis. Overall, it is a powerful asset discovery platform designed to maximize subdomain visibility during security assessments. -
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Oryon C Portable (moved)
Open Source Intelligence Framework
NEW PROJECT PAGE: https://sourceforge.net/projects/oryon-osint-browser/ Oryon C Portable is a web browser designed to assist researchers in conducting Open Source Intelligence investigations. Oryon comes with dozens of pre-installed tools and a select set of links cataloged by category – including those that can be found in the OI Shared Resources. ▪ Based on SRWare Iron version 31.0.1700.0 (Chromium) ▪ More than 70 pre-installed tools to support investigators in their everyday work ▪ More than 600 links to specialized sources of information and online investigative tools ▪ Additional privacy protection features ▪ A ready to use opml file containing a sorted collection of information sources in the fields such as: OSINT, Intelligence, online research, InfoSec, defense, and more. -
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SocialPwned
OSINT tool to collect emails from social networks and find leaks
SocialPwned is an OSINT tool designed to gather publicly exposed email addresses from social networks and analyze them for potential credential leaks. It helps security researchers and penetration testers identify vulnerable targets during the footprinting phase of ethical hacking engagements. It collects email addresses associated with individuals or organizations from platforms such as Instagram, LinkedIn, and Twitter. Once emails are discovered, SocialPwned searches for leaked credentials using breach databases like PwnDB and Dehashed to determine whether those accounts have appeared in data leaks. SocialPwned also integrates with GHunt to retrieve additional public information related to Google accounts linked to the discovered emails. By combining social media intelligence with breach data analysis, SocialPwned helps investigators identify reused passwords and patterns that may indicate potential security weaknesses. -
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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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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.
