Arachnid: Hunting the web’s darkest secrets

Ep 2: The Solution

May 27, 2025
Leanna McDonald, director at the Canadian Center for Child Protection who leads Project Arachnid. Tim Cranston, former Microsoft legal/tech contact who coordinated early PhotoDNA work. Hany, the academic inventor of PhotoDNA. They discuss how PhotoDNA was built and deployed quickly, why known-image matching matters, the scale of the global problem, and why the job remains unfinished.
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ANECDOTE

Discovering Her Abuse Through Photos On A Kitchen Table

  • Sage learned from a detective that images of her childhood abuse existed online and saw cleaned-up photos laid out on her kitchen table.
  • Seeing the pictures triggered flooding memories, near fainting, and the realization that others had viewed and shared those videos.
INSIGHT

Solve CSAM By Matching Known Images Not Classifying Everything

  • Hany reframed the problem: instead of detecting any abusive image at scale, match known illegal images already identified as CSAM using hashes.
  • That approach led to PhotoDNA within a year and enabled platforms to find vast sets of related material cheaply.
ANECDOTE

PhotoDNA Built By Two Engineers And A Dozen Lawyers

  • PhotoDNA was built by a tiny team: Hany, one Microsoft engineer, and many lawyers, producing a working prototype in nine months and a deployable tool in a year.
  • The tool worked so well that Microsoft released it in the cloud and it became widely adopted across large platforms.
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