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facesafe

Technical resources for OSINT, facial recognition, and digital privacy.

🔗 FaceSeek.online — reverse face search & data protection


Overview

This repo covers:

  • Reverse face search methodology
  • Data broker ecosystem analysis
  • Deepfake detection techniques
  • Privacy-preserving OSINT practices

Reverse Face Search

How It Works

  1. Input image → face detection → feature extraction
  2. Generate unique faceprint (mathematical representation)
  3. Match against indexed public images
  4. Return ranked results with confidence scores

Tools

  • FaceSeek — most comprehensive, includes deepfake detection
  • PimEyes — face search only
  • Google Lens — basic reverse image

Data Broker Landscape

The data broker industry is valued at $15B+. Major players:

  • Spokeo, Whitepages, BeenVerified, Intelius
  • Each aggregates billions of records
  • Most allow opt-out but make it difficult

FaceSeek scans 1,133+ brokers and offers bulk removal.

Deepfake Detection

Indicators

  • Inconsistent lighting/shadows
  • Edge artifacts around face boundaries
  • Metadata anomalies
  • Lack of presence in reverse search results

Tools

Ethical Considerations

  • Only search publicly available data
  • Never use for stalking or harassment
  • Respect privacy laws (GDPR, CCPA)
  • Document your methodology

MIT License. Research and educational purposes.