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Split-second deepfake glitch blows digital certificate fraudster’s cover

Help Net Securityby @helpnetsecurity ()1 min read1 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

Spanish police arrested a man who used deepfake video manipulation to bypass a certificate provider's identity checks and obtain digital signatures for financial fraud.

Spanish National Police arrested a man in Murcia accused of using deepfake software to pass an electronic certificate provider's video identity verification and obtain digital signatures usable in financial fraud. He made 38 attempts against more than 30 citizens using a forged national ID card, household spotlights with colored bulbs to simulate holograms, and VPNs to anonymize connections. Investigators traced more than 320 phone lines linked to 24 mobile devices, mostly registered with stolen identities; a momentary glitch in the digital mask during a live call exposed the scheme.

Key facts
  • Suspect appeared on video calls with a live deepfake face matching a forged national ID card.
  • 38 attempts were made against more than 30 citizens to obtain digital certificates.
  • 320+ phone lines linked to 24 devices were registered with stolen identities in Murcia.
  • A momentary glitch in the digital mask during a live verification call exposed the true face.
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From the original article

1 min read at helpnetsecurity.com

Spanish police have arrested a man in Murcia accused of using deepfake software to trick a certificate provider’s video identity checks in an attempt to obtain digital signatures he could use for financial fraud. According to the police, the man made 38 attempts using this method on more than 30 citizens. Police haven’t said how many of those attempts succeeded before the scheme was uncovered.

Help Net Security

By @helpnetsecurity · helpnetsecurity.com

Read the full article at Help Net Security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.