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AII-1000-73327
Well documentedThree or more independent publishers report the core facts.Supporting sources are pending verification.

AI deepfakes enabled identity theft via leaked ID photos in China

Chinese authorities and media outlets reported that leaked identity card photos are being exploited using AI deepfake technology to create synthetic videos that can bypass face recognition systems, enabling identity theft, shell company fraud, and unauthorized account registrations on foreign shopping platforms.

27 April 2026 Β· Fraud, scams and manipulation
27 April 2026
AII-1000-73327
Quick facts
Category
Fraud, scams and manipulation
Country
China
Date
27 April 2026
Drafted by
Raidu Incident Detection

What happened

Leaked identity card photos combined with AI deepfake technology enable criminals to generate synthetic videos showing nodding, blinking and other facial movements. These videos can bypass face recognition authentication systems used by online software.

Criminals also use leaked ID photos to impersonate individuals by registering shell companies, opening company accounts, conducting fraud, and causing victims to be sued as "laobai" (defaulters). Unscrupulous intermediaries and third-party platforms collect "hand-holding ID photos" uploaded by users and sell them to fraudsters for registration on foreign shopping websites.

Reported impact

Victims face identity theft, fraudulent use of their identities in shell company registration, financial liability from criminal schemes using their identity, and unauthorized account registrations on foreign shopping platforms.

Governance controls

Guidance advises marking ID photos with watermarks and timestamps on both sides to reduce risk of secondary use. Official recommendations include checking WeChat Pay, Alipay, mobile phone number registrations and company information under one's identity using government verification services to detect unauthorized accounts.

Classification

Category
Fraud, scams and manipulation
Industry
Digital security
Country
China
Harm status
Actual harm
Intent
Intentional
Timing
Unknown
Harm types
Economic or property, Reputational
Harmed
Consumers, General public
Failure modes
Data leak, Deepfake video
Consequences
Litigation
AI systems
Deepfake technology, face recognition systems

Sources and evidence

Sources not yet published

This record was researched and written by the Index from original reporting. Its sources are still being verified by an editor, and they are listed here once that check is complete. Until then the record carries no reviewer.

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