An OSINT tool that uses facial recognition to correlate social media profiles across multiple platforms for security professionals.
Social Mapper is an open-source OSINT tool that automates the discovery and correlation of social media profiles using facial recognition. It scans multiple platforms to find and verify individuals' online presence, outputting organized reports for security analysis. The tool helps identify targets efficiently by matching faces across different sites, reducing false positives.
Penetration testers, red teamers, and security researchers who need to gather social media intelligence for targeted campaigns or threat assessments.
It combines multi-platform social media searches with facial recognition for high-accuracy profile matching, automating a traditionally manual process and enabling scalable OSINT operations for security professionals.
A Social Media Enumeration & Correlation Tool by Jacob Wilkin(Greenwolf)
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Searches nine major social media sites including Facebook and LinkedIn, enabling comprehensive profile discovery across multiple networks as listed in the README.
Uses facial matching to correlate profiles, reducing false positives and manual review time, which is highlighted as a key feature for security contexts.
Accepts inputs like company names, image folders, or CSVs, allowing flexibility for different OSINT scenarios as described in the getting started section.
Generates CSV files with email formats for tools like Gophish, adding value for automated security campaigns as mentioned in the use cases.
The README explicitly states it's no longer actively maintained, so features may break due to social media site updates or dependencies.
Facebook can detect the tool after a few hundred searches, requiring disposable accounts and limiting scalability, as warned in the README.
Requires installing Firefox, Geckodriver, Python libraries, and manually entering credentials, making it error-prone and time-consuming for new users.
Needs valid social media accounts for login, which can be a security risk and operational hurdle, especially with 2FA or language settings constraints.