k2sosint/legendary_osint

Legendary OSINT is a curated list of tools and resources for open source intelligence gathering. It is aimed at people who investigate things for a living: fraud investigators, cyber threat intelligence analysts, and professionals doing KYC or AML checks, which are the identity and money laundering checks banks and financial services run on customers. Rather than being software you run, this repository is a directory that points you toward other people's tools and websites, organized by topic. The list is broken into many focused categories, each living in its own document. There are sections for searching people and social media profiles, tracking flights and ships, looking into domains and internet infrastructure, investigating phishing emails, analyzing malware, and searching the dark web and leaked data. Other sections cover general search engines, document and file search, website archiving, geospatial and mapping tools, news monitoring, reverse image search, and communications intelligence. There are also categories for business intelligence, government and legal records, academic databases, automation and reconnaissance frameworks, and even a section on OSINT tools built for nonprofit and humanitarian use. The maintainer is upfront that most of the linked tools are made by third parties, not by this project, and encourages anyone using them to check them carefully and use them responsibly. The sources for the list itself include newsletters, Telegram groups, other curated collections, and public GitHub repositories. This repository is best understood as a starting point or reference map rather than a piece of software. If you are new to a particular kind of investigation, such as verifying a vessel's shipping history or researching a company's ownership, you would open the relevant category page here to find a set of existing tools to try, rather than expecting this project itself to perform any analysis. It is released under the CC0 1.0 Universal license, meaning it is placed as close to the public domain as possible, and anyone can use, modify, or share it freely, though attribution is appreciated.