Open Source Unix Shell OSINT Tools
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Unix Shell OSINT Tools
View 5818 business solutionsBrowse free open source Unix Shell OSINT Tools and projects below. Use the toggles on the left to filter open source Unix Shell OSINT Tools by OS, license, language, programming language, and project status.
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X-osint
Open source OSINT tool for gathering data on emails, phones, and IPs
X-osint is an open source intelligence framework designed to collect and analyze publicly available information from multiple sources. It focuses on gathering useful and credible data about entities such as phone numbers, email addresses, and IP addresses using a range of automated OSINT techniques. It provides investigators and researchers with a centralized interface for running information-gathering tasks that would normally require multiple separate tools. X-osint can also perform domain-related reconnaissance activities such as subdomain enumeration, DNS lookups, and host discovery to help identify infrastructure associated with a target. In addition to network and domain intelligence, it includes features for extracting metadata from files or images and analyzing text content to uncover hidden details. X-osint is written primarily in Python and is designed to run in terminal environments, particularly on Linux systems and Termux setups. -
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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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Tookie-OSINT
Username OSINT tool for discovering accounts across many websites
Tookie-OSINT is an open source intelligence tool designed to help security researchers, ethical hackers, and investigators discover online accounts associated with a specific username. It automates the process of searching for usernames across multiple websites, making it easier to identify a person's presence on different platforms. By entering a target username, Tookie-OSINT scans a list of supported sites and checks whether the username exists on those platforms. This approach removes the need for manual checks and significantly speeds up OSINT investigations. It is similar in concept to tools such as Sherlock, focusing on identifying user profiles across social media and other online services. Tookie-OSINT includes both command-line and optional web interface functionality, giving users flexible ways to run scans and analyze results. Tookie-OSINT was created to help beginners and aspiring security professionals learn about OSINT techniques. -
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Open Semantic Search
Open source semantic search and text analytics for large document sets
Open Semantic Search is an open source research and analytics platform designed for searching, analyzing, and exploring large collections of documents using semantic search technologies. It provides an integrated search server combined with a document processing pipeline that supports crawling, text extraction, and automated analysis of content from many different sources. Open Semantic Search includes an ETL framework that can ingest documents, process them through analysis steps, and enrich the data with extracted information such as named entities and metadata. It also supports optical character recognition to extract text from images and scanned documents, including images embedded inside PDF files. It integrates text mining and analytics capabilities that allow users to examine relationships, topics, and structured data within document collections. -
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SiteDorks
Automate search engine dorking across hundreds of websites
SiteDorks is a command line tool designed to automate advanced search queries across multiple search engines and websites. It allows users to perform search engine “dork” queries against a large set of predefined domains, making it easier to discover publicly available information across different platforms. SiteDorks supports several major search engines including Google, Bing, Brave, Ecosia, DuckDuckGo, Yahoo, and Yandex. Instead of manually running the same query for many sites, SiteDorks generates and executes the queries automatically using lists of “dorkable” websites. A built-in dataset contains hundreds of websites grouped into categories such as cloud services, developer platforms, documentation sites, social platforms, and communication tools. Users can also supply custom domain lists or CSV files to tailor searches for tasks like penetration testing, bug bounty research, or OSINT investigations. -
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Moriarty Project
Web-based OSINT tool for investigating phone number information
Moriarty Project is an open source web-based investigation tool designed to gather publicly available information about phone numbers. It allows users to input a phone number and analyze various details related to that number through multiple investigation features. It performs information gathering by scraping data from online sources to retrieve insights such as owner information, spam risk, and related web references. Users can select specific investigation features to run individually or execute all available checks at once depending on their needs. Moriarty Project operates through a browser-based interface and includes multithreading improvements that help speed up the investigation process. Moriarty Project focuses strictly on OSINT-style information gathering and does not provide tracking, hacking, or harmful capabilities against phone number owners. It is fully open source, allowing users to inspect the code and understand how the data collection mechanisms work. -
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ASN
Command line ASN lookup, network recon, and traceroute tool
asn is a multifunctional network investigation and OSINT command line tool designed for analyzing Autonomous System (ASN) and IP-related data. It provides a comprehensive set of capabilities for inspecting network infrastructure, routing information, and security signals associated with IP addresses, hostnames, prefixes, and organizations. It aggregates data from multiple external services to present detailed information such as BGP statistics, RPKI validation status, IP reputation, geolocation, and prefix ownership. It can also perform AS path tracing, allowing users to observe the network route between systems and identify Internet Exchange Points or anomalies in the path. In addition to its command line usage, asn can run as a web-based traceroute server or as a self-hosted lookup API that returns JSON-formatted data for automated workflows. This flexibility allows the tool to support manual investigations, incident response, and automated network analysis pipelines. -
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GooFuzz
OSINT fuzzing tool using Google dorks to find exposed resources
GooFuzz is an open source security tool designed to perform fuzzing using an OSINT-based approach by leveraging advanced Google search techniques. It is written in Bash and automates the use of Google Dorking queries to discover publicly accessible information related to a target domain. Instead of directly sending requests to the target server, GooFuzz gathers results through search engine indexing, allowing enumeration without leaving traces in the target’s server logs. This method enables the discovery of potentially sensitive files, directories, subdomains, and parameters that are already exposed on the web. By combining wordlists, search operators, and file extension filters, the tool helps security professionals locate misconfigured or unintentionally exposed resources. GooFuzz is commonly used in penetration testing, reconnaissance, and bug bounty research where passive information gathering is important. -
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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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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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pwnedOrNot
Check breached emails and find exposed passwords from public dumps
pwnedOrNot is an open source OSINT tool designed to investigate whether an email address has been compromised in known data breaches and to identify exposed credentials associated with that account. The tool works by interacting with the HaveIBeenPwned (HIBP) API to determine if a given email address appears in breach databases. If the email is found in a breach, the tool proceeds to search for associated passwords within publicly available data dumps. This two-phase approach allows investigators, security professionals, and researchers to assess the exposure level of compromised accounts using publicly accessible breach information. The tool displays useful breach details such as the name of the breach, the affected domain, the breach date, and several status indicators related to the authenticity and status of the breach. pwnedOrNot can also analyze domains to determine whether they have been involved in breaches and can list all breached domains available through the HIBP database. -
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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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Xteam
All-in-one command-line toolkit for security testing and OSINT tools
Xteam is a command-line security toolkit designed to provide multiple penetration testing and information-gathering utilities in a single interface. It combines several modules and external tools to help users perform security research tasks related to mobile devices, wireless networks, and online services. It acts as a centralized launcher that integrates scripts and third-party tools, allowing users to access different testing functions through a menu-based command line workflow. Xteam includes features such as Instagram information gathering, phishing utilities, wireless attack tools, and Android security testing capabilities. Xteam’s architecture uses a main bash script that serves as the hub for running internal modules or downloading and executing external projects when needed. It can operate on Linux systems as well as Android devices using Termux, making it accessible in both desktop and mobile environments. -
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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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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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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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RedAmon
AI-powered framework for automated penetration testing and red teaming
RedAmon is an AI-powered red team framework designed to automate offensive cybersecurity operations from reconnaissance to exploitation and post-exploitation. It combines artificial intelligence with traditional penetration testing tools to create a fully autonomous pipeline capable of discovering vulnerabilities and executing security assessments without human intervention. It begins with a multi-phase reconnaissance engine that maps the entire attack surface of a target, collecting information such as subdomains, open ports, services, and potential vulnerabilities. RedAmon then uses an AI agent orchestrator to analyze this data, select appropriate tools, and perform exploitation steps such as credential brute forcing or CVE-based attacks. All discovered assets, relationships, and vulnerabilities are stored in a Neo4j knowledge graph, allowing the system to reason about the environment and make informed decisions during the attack process. -
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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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reNgine
Automated framework for web application reconnaissance and scanning
reNgine is an automated reconnaissance framework designed to simplify and enhance the process of gathering information about web applications during security assessments. It provides a streamlined workflow for penetration testers, bug bounty hunters, and security teams who need to perform reconnaissance efficiently and at scale. The platform integrates multiple open-source reconnaissance tools into a unified environment with a configurable scanning engine and an intuitive web interface. reNgine focuses on improving traditional reconnaissance workflows by organizing collected data in a database and correlating results to make them easier to analyze. This approach helps security professionals avoid manually searching through scattered files and instead work with structured, searchable reconnaissance data. The framework supports continuous monitoring of targets and can automatically notify users about newly discovered assets or vulnerabilities. -
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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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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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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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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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discover
Automation framework for reconnaissance and penetration testing tasks
Discover is a collection of custom Bash scripts designed to automate many common tasks involved in penetration testing workflows. The project brings together a variety of security testing functions into a single framework that simplifies reconnaissance, scanning, and enumeration processes. It provides a menu-driven interface that allows security professionals to quickly launch different tools and scripts without manually executing each command. The framework helps streamline activities such as information gathering, network scanning, and web application testing during security assessments. Discover also integrates with well-known security tools like Metasploit to generate malicious payloads and manage listeners for exploitation tasks. By organizing multiple security utilities and scripts into one environment, the project reduces repetitive manual steps and standardizes penetration testing workflows. The tool is commonly used in Kali Linux environments. -
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reconFTW
Automated framework for domain reconnaissance and vulnerability scans.
reconFTW is an open source automated reconnaissance framework created for security researchers, penetration testers, and bug bounty hunters. The tool streamlines the reconnaissance phase of security assessments by orchestrating numerous specialized tools to gather intelligence about a target domain. It performs multiple discovery and analysis tasks such as subdomain enumeration, OSINT collection, and vulnerability scanning in an automated workflow. The framework integrates many external security utilities and coordinates them to produce comprehensive reconnaissance results efficiently. Its modular design allows users to customize the process, enabling or disabling modules and adjusting settings according to their needs. reconFTW also provides configuration options for API keys, execution preferences, and tool paths through a dedicated configuration file. By automating complex recon tasks and combining outputs from many tools, it helps researchers quickly identify potential attacks.
