Overview

Social Finder is an innovative OSINT (Open Source Intelligence) web application that leverages the power of Flask and Sherlock to enable users to search for usernames across numerous social media platforms in a structured and intuitive manner. Designed for both ease of use and data privacy, this application provides a seamless experience while ensuring that no user data is stored.

With a production-ready setup using Docker and Gunicorn, Social Finder distinguishes itself by offering a modern web interface that makes it straightforward to gather social media insights efficiently. Whether you are a cybersecurity researcher, an investigative journalist, or just curious to track social media personas, Social Finder is equipped to meet your needs.

Features

Multi-platform Search: Effortlessly search usernames across popular platforms like GitHub, Twitter, and Instagram.
Modern Dashboard Interface: Enjoy a clear and user-friendly dashboard that presents results in a structured format.
Docker-ready Setup: Designed for easy deployment, making it accessible to run on any system that supports Docker.
Privacy-focused: Maintains user confidentiality by ensuring that no data is stored during searches.
Fast Concurrent Checks: Utilizes Sherlock for rapid checks, allowing multiple search requests to be processed efficiently.
Comprehensive Tech Stack: Built with a robust combination of Python, Flask, and Docker, ensuring stability and performance.
Open to Contributions: The project encourages community involvement through contributions, issue reporting, and feature requests.

Social Finder is an essential tool for anyone engaged in OSINT and cybersecurity research, combining speed, privacy, and ease of use in one comprehensive package.

Mattiapasti

Social Finder