Social-analyzer is an open-source intelligence framework designed for the automated discovery, correlation, and verification of digital identities across online platforms. It functions as a comprehensive engine for gathering social media intelligence, utilizing distributed browser automation to extract metadata and profile information from hundreds of websites simultaneously.
The platform distinguishes itself through its ability to perform cross-platform identity correlation using heuristic-based pattern matching and name permutation generation. It processes these findings through a confidence-weighted filtering system, which assigns numerical scores to results to prioritize accuracy and minimize false positives. Users can further analyze these digital footprints through interactive, force-directed graph visualizations that map relationships between disparate data points.
The tool provides a broad suite of analytical capabilities, including textual content evaluation, language detection, and digital footprint analysis. It manages complex investigation workflows by orchestrating parallel worker threads and modular search plugins, allowing for the bulk execution of profile discovery tasks. The system supports structured data export and provides integrated validation routines to confirm the authenticity of web domains and discovered accounts.
