Discover Sherlock: The Smart Tool for Social Media Account Tracking
In a world where digital investigations and cybersecurity are more important than ever, Sherlock emerges as a powerful open-source tool that simplifies the process of tracking usernames across various websites and platforms.
What is Sherlock?
Sherlock is a free Python-based tool designed to search for usernames across hundreds of social media networks and websites. With just a single command, it enables you to instantly check if a specific username is in use online.
Why Use Sherlock?
- Comprehensive Search: Scans more than 300 platforms including forums and social networks.
- Easy to Use: Command-line interface that's quick and beginner-friendly.
- Cross-platform Compatibility: Works on Linux, Windows, and macOS.
- Highly Flexible: Easily customizable by editing config files to add new sites.
- Exportable Results: Save outputs in formats such as
.json
for further analysis or reporting.
How to Install Sherlock
git clone https://github.com/sherlock-project/sherlock.git
cd sherlock
python3 -m pip install -r requirements.txt
How to Use Sherlock
Once installed, use the following command to search for a single username:
python3 sherlock username
You can also search for multiple usernames at once and save the results:
python3 sherlock username1 username2 --output myresults
When Should You Use Sherlock?
- When conducting OSINT (Open Source Intelligence) investigations to trace someone's digital presence.
- To check if your identity has been impersonated on unknown platforms.
- For legal penetration testing and digital footprint gathering.
- To monitor and manage your online reputation.
Important Note:
Sherlock does not hack into any accounts. It simply queries public websites to find usernames. Always use it in compliance with local and international laws regarding privacy and digital tracking.
Sherlock does not hack into any accounts. It simply queries public websites to find usernames. Always use it in compliance with local and international laws regarding privacy and digital tracking.
0 Comments