Purported Face‑Swap Technology Reportedly Used to Circumvent Financial Platform's Facial Recognition Security in Nanjing, China

October 15, 2024

In October 2024, a defendant (Fu Mou) was convicted for using AI-powered face-swap software to circumvent the facial recognition security of an unnamed financial platform in Nanjing, Jiangsu Province. Authorities claimed that he illegally obtained over 1.95 million pieces of personal data, accessed the payment accounts of 23 victims, changed passwords for several accounts, and made purchases using one linked bank card. This breach highlights the importance of responsible AI practices in ensuring safe and secure transactions. For those interested in shaping the future of trustworthy AI and contributing to harm prevention efforts through Project Cerebellum, JOIN US. This incident serves as an opportunity to Map incidents related to unauthorized access using AI-powered tools within the HISPI Project Cerebellum TAIM (Trustworthiness, Accountability, Interoperability, and Manageability) framework.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

Alleged deployer
fu-mou
Alleged developer
unknown-face-swap-technology-developer, unknown-deepfake-technology-developers
Alleged harmed parties
unnamed-financial-payment-platform, individuals-affected-by-compromise-of-1.95-million+-personal-records, 23-unnamed-victims-whose-payment-accounts-were-accessed

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1163

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

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