GhostTrack is an open-source intelligence (OSINT) framework that aggregates geographic, network, and social identity information from public data sources. It functions as a digital footprint analyzer, collecting various pieces of publicly available information to build comprehensive profiles of target individuals.
The framework combines multiple investigative capabilities into a single tool, including IP address geolocation, phone number intelligence, and social media username discovery. It distributes queries across external data services to maximize coverage and accuracy, resolving IP addresses to approximate physical locations, retrieving carrier and registration details for phone numbers, and scanning multiple platforms for accounts matching a target username.
Under the hood, GhostTrack uses asynchronous task queueing to handle long-running network requests without freezing, and employs input-driven query generation to transform user-provided identifiers into formatted requests for specific external APIs. The tool's multi-provider request routing distributes searches across different service endpoints to maximize the chance of finding a target match.
