Maigret is an open-source intelligence framework designed for automated digital footprint discovery and identity investigation. It functions as a search engine that aggregates profile metadata by querying thousands of websites for specific usernames, mapping an individual's online presence across diverse platforms.
The tool distinguishes itself through recursive discovery capabilities, which identify links within discovered profiles to expand the scope of an investigation automatically. It supports cross-platform identity correlation by mapping disparate accounts and pseudonymous personas, including the integration of Web3 wallet addresses and blockchain identifiers. To maintain privacy and ensure access, the system routes all network traffic through anonymization layers such as Tor, I2P, or custom proxies, while employing techniques to bypass anti-bot security measures and regional restrictions.
The framework provides a comprehensive suite of analytical tools, including the ability to process gathered data through external language models for pattern recognition and summary generation. Users can manage investigations via a graphical web dashboard or integrate the tool's functionality into custom Python workflows through its programmatic interface. Collected information can be exported into multiple formats, including interactive graphs, PDFs, and structured data files.
