{
 "id": "AIR-2020-0030",
 "slug": "camera-hijack-and-facial-recognition-evasion-for-tax-fraud",
 "title": "Camera Hijack and Facial Recognition Evasion for Tax Fraud",
 "summary": "Perpetrators bypassed a government facial recognition authentication system using camera hijacking to commit major tax fraud. The scheme resulted in significant financial losses totaling 77 million dollars.",
 "type": "attack_on_ai",
 "categories": [
  "adversarial_evasion"
 ],
 "severity": 4,
 "targets": [
  "enterprise_deployment"
 ],
 "products": [
  "Shanghai government tax office facial recognition"
 ],
 "incident_date": "2020-01",
 "incident_date_precision": "month",
 "first_reported": "2020-12-03",
 "sources": [
  {
   "url": "https://atlas.mitre.org/studies/AML.CS0004",
   "publisher": "MITRE ATLAS",
   "title": "Camera Hijack Attack on Facial Recognition System",
   "published_at": "2020-12-03"
  },
  {
   "url": "https://wsj.com/articles/faces-are-the-next-target-for-fraudsters-11625662828",
   "publisher": "The Wall Street Journal",
   "title": "Faces are the next target for fraudsters",
   "published_at": "2020-12-03"
  }
 ],
 "source_count": 2,
 "confidence": 0.95,
 "status": "published",
 "origin": "seed_atlas",
 "tags": [
  "facial-recognition",
  "camera-hijack",
  "fraud"
 ],
 "created_at": "2026-10-18T06:55:08.239Z",
 "updated_at": "2026-10-18T06:55:08.239Z"
}