Open Source BSD OSINT Tools
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OSINT Tools for BSD
Browse free open source OSINT tools and projects for BSD below. Use the toggles on the left to filter open source OSINT tools by OS, license, language, programming language, and project status.
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Robin
AI-powered tool for dark web OSINT search and investigation
Robin is an AI-powered open source tool designed to assist investigators and researchers in conducting dark web OSINT (Open Source Intelligence) investigations. It combines automated dark web search capabilities with large language models (LLMs) to analyze and summarize information discovered across hidden services and Tor-based search engines. The tool helps refine investigative queries, collect results from multiple dark web sources, and filter relevant intelligence using AI-driven processing. Robin also performs scraping of discovered pages through Tor sessions, allowing users to gather additional context from dark web sites while maintaining the required network routing. By integrating AI models, the platform can interpret results, highlight key information, and produce summaries that help analysts understand findings faster. The project provides a modular architecture separating search, scraping, and AI processing components so it can be extended with new data sources. -
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OSINT Framework
OSINT Framework
OSINT-Framework is a web-based intelligence resource map designed to help investigators and researchers quickly locate free open-source intelligence tools and data sources. Rather than functioning as an automated scanner, it organizes hundreds of OSINT resources into a structured, navigable interface grouped by investigation type, such as usernames, email addresses, domains, and social media. The project was originally created from an information security perspective but has since expanded to support journalists, analysts, and digital investigators across many disciplines. Its value lies in curation and discoverability, allowing users to pivot rapidly between relevant intelligence tools during investigations. The framework includes indicators showing whether a resource requires registration, manual editing, or local installation, improving workflow planning. -
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PhoneInfoga
Information gathering framework for phone numbers
PhoneInfoga is an open-source intelligence framework focused on gathering and analyzing information related to international phone numbers. The tool aggregates data from multiple scanners and external services to provide contextual intelligence such as country, carrier, line type, and potential VoIP provider details. It is designed primarily for investigators, analysts, and security researchers who need structured phone-number reconnaissance rather than real-time tracking. PhoneInfoga intentionally avoids automation of invasive actions and instead assists manual investigations by correlating publicly available data. The platform includes both a command-line interface and a web client backed by a REST API, making it suitable for integration into larger investigative workflows. Because it relies heavily on external data sources, its effectiveness depends on proper configuration of scanners and APIs. -
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uncover
Discover exposed internet hosts using multiple search engine APIs
Uncover is an open source reconnaissance tool designed to quickly discover exposed hosts on the internet by querying multiple search engine APIs through a unified interface. It acts as a Go-based wrapper around well-known internet intelligence platforms, allowing users to gather information about publicly accessible systems from a single command-line tool. By integrating with services such as Shodan, Censys, FOFA, ZoomEye, and others, the tool enables security professionals to efficiently search for internet-facing assets and services. The tool is built with automation in mind, making it suitable for security workflows and pipelines used by penetration testers, researchers, and bug bounty hunters. Instead of manually querying several search engines separately, uncover aggregates results from supported providers and returns them in a standardized format. This approach simplifies large-scale reconnaissance tasks and speeds up the discovery of exposed infrastructure or services. -
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Blackbird
OSINT tool for finding accounts across 600+ sites by username or email
Blackbird is an open source OSINT tool designed to search for user accounts across social networks and online platforms using a username or email address. The project focuses on helping investigators, researchers, and security professionals quickly discover where a specific identity appears on the internet. It performs reverse searches across more than 600 websites by leveraging data from the community-driven WhatsMyName project, which improves detection accuracy and reduces false positives. The tool operates primarily through a command line interface, allowing users to run automated searches and gather results from many platforms in a single process. Blackbird also includes an optional AI-powered profiling feature that analyzes discovered sites to generate behavioral and technical insights about a user’s online presence. Results from searches can be exported in formats such as PDF, CSV, or JSON for documentation or reporting purposes. -
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Metabigor
Command-line OSINT and reconnaissance tool without API keys
Metabigor is a command-line intelligence and OSINT tool designed to perform reconnaissance and security research tasks without requiring API keys. It focuses on simplifying access to public intelligence sources so that researchers, penetration testers, and bug bounty hunters can gather information efficiently from a single interface. It enables users to discover IP ranges, domains, and infrastructure details related to organizations, domains, or autonomous systems. Metabigor integrates multiple public data sources such as certificate transparency logs, BGP routing data, reverse WHOIS services, and IP intelligence databases to help map digital infrastructure. It can also enrich IP information with service, port, and vulnerability data using Shodan InternetDB while remaining accessible without authentication keys. In addition, it provides utilities that coordinate network scanning workflows by acting as a wrapper for tools like rustscan, masscan, and nmap. -
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subfinder
Fast passive subdomain enumeration tool
Subfinder is a high-performance passive subdomain discovery tool built for fast and reliable asset enumeration. It focuses exclusively on collecting valid subdomains from a wide range of passive online sources, prioritizing accuracy and speed over intrusive scanning techniques. The project is widely used in bug bounty hunting, penetration testing, and attack surface mapping because it minimizes noise while producing actionable results. Its modular architecture allows users to enable dozens of data providers through API keys, expanding coverage as needed. Subfinder integrates easily into automation pipelines and CI workflows thanks to its clean command-line design and structured output formats. The tool is intentionally specialized, doing one job extremely well rather than attempting to be an all-in-one scanner. In practice, Subfinder serves as a foundational building block for modern reconnaissance stacks. -
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WhatsApp Beacon
OSINT tool for tracking WhatsApp online status via Web automation
WhatsApp Beacon is an open source OSINT tool designed to monitor and analyze the online activity status of WhatsApp users through WhatsApp Web. It uses Selenium automation to interact with the web interface and detect when a target account goes online or offline. By continuously monitoring these changes, WhatsApp Beacon records connectivity patterns and builds a historical dataset of activity sessions. The collected information is stored in logs and a local database, allowing users to review behavioral patterns over time. In addition, the project supports exporting collected data to spreadsheet formats for further analysis or reporting. WhatsApp Beacon is designed to run across multiple operating systems and can operate in the background using headless browser automation. It is intended for educational and research purposes related to open-source intelligence (OSINT) and digital investigation. -
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Instagram OSINT Tool
Instagram OSINT tool for gathering profile data and public posts
InstagramOSINT is an open source intelligence (OSINT) tool designed to collect publicly accessible information from Instagram profiles. It retrieves details that are not always easily visible when browsing an Instagram account normally, allowing investigators, researchers, and developers to gather structured data about a target profile. It works by scraping publicly available profile information and extracting metadata from Instagram pages using Python. It collects various attributes such as the username, profile name, follower counts, account status indicators, and profile metadata. In addition to profile information, it can also retrieve post-related data and download publicly available images associated with an account. The results are saved locally in structured formats such as JSON-style data inside text files, making them easy to analyze or integrate into other applications. InstagramOSINT also exposes a Python API so developers can import the functionality. -
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10
ASNmap
CLI tool for mapping organization network ranges using ASN data
asnmap is a command line tool and Go library designed to quickly map network ranges belonging to organizations using Autonomous System Number (ASN) data. It allows users to convert different types of inputs (such as ASN numbers, IP addresses, domain names, or organization names) into their associated CIDR ranges. This capability makes it particularly useful for security researchers, penetration testers, and reconnaissance workflows that require identifying network infrastructure owned by a target organization. asnmap retrieves ASN-related data and returns structured results that can be easily integrated into automated pipelines. Output can be generated in multiple formats including plain text, JSON, and CSV, enabling flexible data processing and analysis. asnmap also supports reading input from standard input and piping its results directly into other command line tools for chained workflows. -
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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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Ignorant
Checks if a phone number is registered on online services
Ignorant is a Python-based OSINT tool designed to determine whether a specific phone number is associated with accounts on various online platforms. It performs phone number enumeration by sending requests to supported services and analyzing their responses to identify whether an account exists for that number. By querying endpoints used during account registration, login, or other interactions, Ignorant can infer the presence of an account without notifying the phone number owner. This allows investigators, researchers, or security professionals to perform reconnaissance without alerting the target. Ignorant supports multiple platforms, including services such as Instagram, Snapchat, and Amazon, using a modular architecture where each platform is implemented as a separate module. Ignorant is built with asynchronous Python technologies, enabling concurrent checks across multiple services for faster results. It also provides standardized output in JSON format. -
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fsociety
Modular CLI framework for managing penetration testing tools
fsociety is a modular penetration testing framework designed to provide a unified interface for running and managing a wide range of security tools. It focuses on simplifying penetration testing workflows by integrating multiple external security utilities into a single command line environment. Instead of implementing its own security scanners, the framework acts as a wrapper and orchestrator that helps users discover, install, and execute tools from various GitHub repositories. Its modular architecture organizes tools into categories such as information gathering, networking, web application security, and password testing. This structure allows users to quickly navigate through different security tasks while maintaining a consistent interface. fsociety can automatically clone and manage required tools, reducing the manual effort typically needed to set up a penetration testing toolkit. fsociety is distributed as a Python package. -
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urlhunter
Search exposed URLs from shortener services using keyword filtering
urlhunter is an open source reconnaissance tool designed to help security researchers discover URLs that have been exposed through URL shortener services such as bit.ly and goo.gl. It works by analyzing large datasets generated from brute-forced short links that are publicly released by the URLTeam project. These datasets contain resolved long URLs that were originally hidden behind short links, which can sometimes reveal sensitive or previously unknown endpoints. urlhunter downloads these collections and allows users to search and analyze them using custom keywords or patterns. This capability makes it useful for identifying exposed resources such as documents, internal panels, or forgotten endpoints that may still be accessible online. urlhunter is written in Go and operates as a command-line utility, making it suitable for automation and integration into reconnaissance workflows. -
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User Scanner
Scan usernames and emails across many platforms from the CLI
user-scanner is a command-line OSINT tool designed to analyze the presence and availability of usernames and email addresses across many online platforms. It helps users quickly determine whether a specific username or email is already associated with accounts on social networks, developer platforms, creator communities, gaming services, and other sites. user-scanner is useful for security researchers, investigators, and analysts performing open source intelligence, as well as individuals or businesses looking for a unique username across multiple services. By scanning many platforms in a single command, it simplifies the process of checking account existence and identifying a digital footprint. user-scanner uses a modular architecture where each platform is implemented as a small validator module that determines whether a username exists or is available. -
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ClatScope
OSINT reconnaissance tool for IP, domain, email, and username lookups
ClatScope is a Python-based OSINT (open source intelligence) utility designed to gather and analyze publicly available information from multiple online sources. It is primarily aimed at investigators, cybersecurity professionals, penetration testers, and researchers who need a centralized platform for reconnaissance tasks. It integrates with numerous public APIs and internet services to retrieve detailed data about IP addresses, domains, email addresses, phone numbers, usernames, and other digital identifiers. By combining these sources, ClatScope automates the process of collecting intelligence that would normally require multiple separate tools or manual searches. It operates through a menu-driven command line interface that allows users to choose from many reconnaissance functions and receive formatted results directly in the terminal. ClatScope supports dozens of OSINT operations, including domain analysis, breach checks, and account discovery. -
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Toutatis
Extract public Instagram account information from usernames
Toutatis is an open source command-line tool designed to extract publicly available information from Instagram accounts. It helps users gather various data points from a target profile by querying Instagram using a username or account ID. The tool can retrieve details such as profile metadata, follower counts, biography information, and other publicly accessible account attributes. In addition to basic profile data, Toutatis can also reveal contact details that may be publicly exposed, including email addresses and phone numbers associated with the account. The utility is implemented in Python and runs through a simple command-line interface, making it easy to integrate into OSINT workflows and automation scripts. Toutatis is commonly used in open source intelligence investigations, research tasks, and security analysis that involve collecting publicly available social media data. -
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holehe
Check if the mail is used on different sites
holehe is a Python-based OSINT utility designed to determine whether a specific email address is registered across a wide range of online services. The tool works by leveraging password-reset mechanisms and other public account-existence checks to infer whether an email is associated with accounts on major platforms. It supports more than a hundred websites and is commonly used during reconnaissance, digital investigations, and account exposure assessments. holehe is designed to operate quickly and quietly, emphasizing efficiency and minimal footprint during enumeration tasks. The project can be used both as a standalone command-line tool and as a library embedded into larger automation pipelines. Overall, holehe provides investigators with a focused and scalable method for mapping an email’s online presence. -
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geowifi
OSINT tool for locating WiFi networks using BSSID or SSID data
geowifi is an open source OSINT tool designed to search and retrieve geolocation information about WiFi networks using their BSSID or SSID identifiers. It queries several public WiFi geolocation databases and aggregates the results to help identify the approximate location of a wireless access point. By combining multiple data sources such as Wigle, Apple, Google, WifiDB, Mylnikov, and Combain, the tool can provide location data that may include coordinates and additional network metadata. Users can run searches through a command-line interface by specifying either the BSSID (MAC address) or the SSID of a network. The results can be displayed in different formats, including a structured JSON output or an interactive HTML map showing the discovered locations. geowifi also supports API-based integrations with certain services, which allows geowifi to retrieve more accurate or detailed geolocation data when valid API credentials are configured. -
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Telegram-OSINT
https://github.com/The-Osint-Toolbox/Telegram-OSINT
Telegram-OSINT is an extensive open source repository that compiles tools, techniques, and resources for conducting open source intelligence investigations on the Telegram platform. It serves as a central reference for analysts, researchers, and investigators who want to discover, analyze, and collect publicly available information from Telegram channels, groups, and bots. It organizes a wide variety of utilities that interact with Telegram’s API to gather data such as channel details, posts, and metadata, often exporting the results in formats like JSON for further analysis. The repository also includes utilities that help search for Telegram channels or process lists of channels from input files, making large-scale investigations easier to manage. In addition to direct data collection tools, it provides resources for channel discovery, similar channel analysis, and browser-based interfaces for interacting with Telegram data. -
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Flowsint
Graph-based OSINT investigation platform w visual relationship mapping
Flowsint is an open source OSINT investigation platform designed to help analysts explore and understand relationships between digital entities through a visual graph interface. The platform focuses on reconnaissance and open source intelligence workflows, enabling investigators to map connections between domains, IP addresses, organizations, individuals, and other data points. By presenting these relationships in an interactive graph, Flowsint allows users to quickly identify patterns, associations, and investigative leads that might be difficult to detect through traditional data analysis methods. The system includes automated enrichers that gather additional intelligence about entities such as domain records, social media profiles, network infrastructure, and cryptocurrency activity. Its modular architecture separates the frontend application, API server, core services, and enrichment modules, making the platform extensible and easier to expand with new investigative capabilities. -
22
GoSearch
OSINT tool to find usernames and digital footprints across 300+ sites
GoSearch is an open source OSINT tool designed to investigate a person's digital footprint by searching for usernames across hundreds of websites. The tool scans more than 300 platforms to determine whether a specific username exists on social networks and other online services. Built with the Go programming language, it aims to provide faster performance compared to similar tools written in other languages. GoSearch was inspired by the well-known Sherlock username search tool, but it attempts to address several of its limitations such as slow execution, outdated sources, and inaccurate results. The tool reduces false positives and false negatives by clearly marking uncertain matches, allowing users to quickly identify reliable results. In addition to username searches, GoSearch can check various breach intelligence databases for compromised credentials linked to a username. If password hashes are found in breach data, the tool can attempt to crack them using the Weakpass database. -
23
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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Photon
Incredibly fast crawler designed for OSINT
Photon is an extremely fast web crawler built specifically for OSINT and reconnaissance use cases. It is designed to extract URLs, endpoints, files, and other intelligence artifacts from target websites with minimal overhead. The crawler prioritizes speed and breadth, making it suitable for mapping web attack surfaces and discovering hidden resources. Photon is commonly used during early reconnaissance phases to build a comprehensive inventory of reachable assets. Its Python implementation makes it accessible for customization and integration into larger automation frameworks. Despite its speed focus, the tool still provides useful filtering and extraction capabilities for analysts who need structured results. Overall, Photon functions as a lightweight yet powerful reconnaissance spider for web intelligence gathering. -
25
linkedin2username
Generate probable usernames from LinkedIn company employee lists
linkedin2username is an open source OSINT (Open Source Intelligence) tool designed to generate lists of potential usernames by scraping employee information from a company’s LinkedIn page. It logs into LinkedIn using valid user credentials and collects publicly visible employee names associated with a specified organization. Using these names, it automatically generates multiple possible username formats that organizations commonly use for accounts or email addresses. This process helps security researchers, penetration testers, and investigators perform reconnaissance by building potential username lists for further security testing or OSINT analysis. Unlike tools that rely on official APIs, linkedin2username operates as a pure web scraper and therefore does not require API keys. The script uses Selenium to automate browser interactions and perform searches within LinkedIn to gather employee data.
