Sherlock

Sherlock is a powerful social media OSINT tool that hunts for usernames across over 300 social networks and platforms.

Social Media Intelligence Username Discovery Digital Footprint Social Network Analysis

Overview

Sherlock is an open-source Python tool designed for OSINT investigations that allows users to search for usernames across more than 300 social networks and platforms. By entering a username, Sherlock checks its presence on various sites including Twitter, Instagram, GitHub, Reddit, and many others. The tool is widely used by security researchers, investigators, and OSINT practitioners for social media intelligence gathering, digital footprint analysis, and identity verification.

Primary Use Cases

✔ Identifying social media accounts associated with a specific username across multiple platforms.

✔ Investigating digital footprints and online presence for identity verification.

✔ Conducting OSINT investigations to map an individual's online presence across platforms.

Frequently Asked Questions

Sherlock is an open-source Python tool that searches for usernames across more than 300 social networks and online platforms. It helps OSINT investigators, security researchers, and law enforcement find accounts associated with a specific username across the internet.

Yes, Sherlock is completely free and open-source under the MIT license. Users can download, install, and use the tool without any costs. The project is actively maintained by the community on GitHub.

Sherlock supports over 300 social networks and online platforms including major social media sites (Twitter, Instagram, Facebook), coding platforms (GitHub, GitLab), forums (Reddit), and many niche platforms. The list is regularly updated by the community.

Sherlock supports security investigations by helping researchers identify all platforms where a username is used, map digital footprints, detect potential impersonation or fraud, investigate threat actors across social media, and gather intelligence for OSINT investigations.

Sherlock is primarily a command-line tool for Python, but it also includes a web interface option for easier use. The project provides a REST API through a separate web server implementation, allowing integration with other tools and automated workflows.