Description: In Nanjing, Jiangsu Province, a defendant (Fu Mou) was convicted in October 2024 for allegedly using AI‑powered face‑swap software to bypass an unnamed financial platform's facial recognition system. Authorities reported that he obtained over 1.95 million pieces of personal data, accessed 23 victims' payment accounts, changed passwords for several, and used one linked bank card to make purchases. Prosecutors said only one platform was successfully breached.
Editor Notes: Timeline note: The reporting indicates that the suspect in the case was sentenced in October 2024. The incident ID date of 10/15/2024 is an approximation. Public reporting on this incident appears to have emerged on 07/18/2025. Suspect name note: Chinese legal reporting often partially anonymizes defendants' names by publishing only the surname followed by the character 某 (Mou), meaning "a certain" or "someone." In this case, the reported perpetrator is identified as 符某 (Fu Mou), indicating that the surname is Fu but the given name has not been disclosed.
Entities
View all entitiesAlleged: Unknown face-swap technology developer and Unknown deepfake technology developer developed an AI system deployed by Fu Mou, which harmed Unnamed financial payment platform , Individuals affected by compromise of 1.95 million+ personal records and 23 unnamed victims whose payment accounts were accessed.
Alleged implicated AI systems: Unnamed financial payment platform , Unknown face-swap technology and Unknown deepfake technology
Incident Stats
Incident ID
1163
Report Count
1
Incident Date
2024-10-15
Editors
Daniel Atherton
Incident Reports
Reports Timeline
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[#Man Buys 1.95 Million Pieces of Personal Information and Steals Over 10,000 Yuan# #Man Uses AI Face-Swapping to Steal Over 10,000 Yuan from Others' Accounts Sentenced#] Previously, a Jiangsu resident, Fu, illegally obtained over 1.95 mill…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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Incident Date:
2025-07-20
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