GCD AI RADAR
incidents/AIR-2024-0008

Criminal Group Uses Face-Swapping Deepfakes to Bypass Biometric Authentication

AI-enabled attack3 Confirmed exploitationDeepfake fraudAdversarial evasion

A criminal group utilized AI face-swapping technology to generate video simulations from static photos and bypass facial recognition security. The unauthorized access allowed them to breach user accounts and steal personal data for fraud syndicates.

Details

type
AI-enabled attack
Attackers used AI as a meaningful part of a cyberattack against someone else.
categories
  • Deepfake fraudprimary
    Synthetic voice, video or images used to impersonate people for fraud, extortion or access.
  • Adversarial evasion
    Inputs crafted to make a model misclassify or miss detections (perturbations, evasion of AI-based defences).
owasp llm top 10
no entry for these categories
mitre atlas
Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
severity
3 · Confirmed exploitation
Used against real targets; limited or unclear impact.
targets
Individuals, Enterprise deployment
products
biometric facial recognition systems
incident date
13 Sep 2024
first reported
13 Sep 2024
origin
AI Incident Database
Derived from the AI Incident Database (CC BY-SA 4.0).
classifier confidence
0.90 · published at or above 0.80; see the methodology
tags
deepfake · face-swapping · biometric-bypass · identity-theft
record
created 2026-10-18 06:33Z · updated 2026-10-18 06:59Z · json

Sources · 1

  1. 2024-09-13
    Criminal Group Uses AI Deepfake Technology to Steal Personal Data in Hangzhou, Zhejiang
    AI Incident Database · incidentdatabase.ai/cite/806

Titles and links belong to their publishers. The summary above is written by GCD AI RADAR in its own words; data is CC BY-SA 4.0.

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