Open Source JavaScript OSINT Tools
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JavaScript OSINT Tools
View 5809 business solutionsBrowse free open source JavaScript OSINT Tools and projects below. Use the toggles on the left to filter open source JavaScript OSINT Tools by OS, license, language, programming language, and project status.
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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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Social-Analyzer
API, CLI, and Web App for analyzing and finding a person's profile
Social Analyzer is an open source OSINT tool that helps investigators discover and analyze a person’s presence across a very large number of social media platforms. It provides a unified API, CLI, and web interface capable of scanning hundreds or thousands of sites for username matches and related metadata. The project includes modular detection and analysis components that users can enable depending on their investigative needs. It is commonly used in cybersecurity, digital forensics, and reconnaissance workflows where identity correlation is required. Social Analyzer emphasizes flexibility, allowing integration into automated pipelines or manual investigations. Overall, the project functions as a powerful reconnaissance engine for mapping online identities at scale. -
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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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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. -
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IntelOwl
Centralized platform for automated threat intelligence analysis
IntelOwl is an open source platform designed to manage and enrich threat intelligence data at scale. It provides a centralized environment where security analysts can gather information about suspicious files and observables such as IP addresses, domains, URLs, or hashes using a single API request. The platform integrates numerous online intelligence sources and advanced malware analysis tools, enabling users to obtain comprehensive threat intelligence without manually querying multiple services. IntelOwl was created to automate repetitive investigation tasks typically performed by security operations center (SOC) analysts, helping teams focus on deeper analysis and incident response. The system features a modular architecture built around plugins that allow new analyzers, connectors, and integrations to be added easily. These plugins can collect data from external intelligence platforms or generate insights using internal analysis tools such as YARA or static malware analyzers. -
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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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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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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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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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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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Trape
OSINT tool for tracking users and analyzing browser data online
Trape is an open source OSINT analysis and research tool designed to track and analyze users on the internet in real time. The project focuses on demonstrating how web browsers can reveal sensitive information about users while interacting with websites and online services. It provides researchers, security professionals, and organizations with a platform for studying how attackers could gather intelligence through social engineering techniques. The tool can clone websites and monitor interactions in order to collect data from visitors, allowing investigators to observe user behavior and session activity. Trape was originally created to educate the public about how large internet services may obtain confidential information such as session status or browser details without users realizing it. Over time, it has evolved into a research platform that helps analysts track cybercriminal activity and study online tracking mechanisms. -
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retrap
Open-Source intelligence tracking and analysis tool.
(OSINT) Open-Source intelligence tracking and analysis tool. - Disclaimer: This tool is experimental in its Alpha phase. It's developed and published as a small building block of a master's thesis research. So use it for educational purposes only and at your own discretion, the author cannot be held responsible for any damages caused. -
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Domain Digger
Domain analysis toolkit for DNS, IP, and WHOIS lookups
Domain Digger is an open source toolkit designed to help users analyze and explore domain-related information in a structured and visual way. It provides a centralized interface for investigating various technical details associated with a domain, including DNS records, IP information, and WHOIS data. By combining several domain intelligence features into a single platform, it simplifies the process of gathering and understanding domain infrastructure details. Domain Digger presents domain information through organized views and visual components, making it easier to interpret relationships between domains, DNS records, and network addresses. This can be useful for developers, security researchers, system administrators, and anyone working with domain infrastructure. Domain Digger aims to streamline domain analysis workflows by offering quick lookups and consolidated data sources in one environment.
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