Description: Police in Brazil reportedly arrested four suspects accused of using purportedly AI-generated deepfake videos of model Gisele Bündchen and other celebrities in Instagram ads to promote fake giveaways and skincare products. The scheme was allegedly active since at least August 2024 and generated over 20 million reais ($3.9 million) in suspicious funds. Victims allegedly lost small amounts that often went unreported, creating what investigators called "statistical immunity."
Editor Notes: Timeline notes: This represents an ongoing scam that reportedly ran from August 2024 to October 2025. The incident ID date of 10/01/2025 marks the reported end of the scam when Brazilian authorities arrested the suspects behind the operation.
Entities
View all entitiesAlleged: Unknown deepfake technology developer , Unknown voice cloning technology developer and Meta developed an AI system deployed by Unidentified Brazilian fraud group (arrested in Rio Grande do Sul) and Unknown scammers operating Instagram ad accounts, which harmed General public of Brazil , Brazilian consumers defrauded via Instagram ads , Gisele Bündchen , Angélica Huck , Juliette Freire Feitosa , Maisa Silva and Sabrina Sato.
Alleged implicated AI systems: Unknown deepfake technology , Unknown voice cloning technology , Meta Platforms , Instagram and Social media
Incident Stats
Incident ID
1224
Report Count
2
Incident Date
2025-10-01
Editors
Daniel Atherton
Incident Reports
Reports Timeline
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The Rio Grande do Sul Civil Police launched a major operation this Wednesday (1) against a sophisticated fraud scheme involving the creation of artificial intelligence-based deepfakes that used actress and model Gisele Bündchen as a poster …
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A group of suspected scammers in Brazil using Instagram ads featuring deepfakes of supermodel Gisele Bundchen and other celebrities appears to have made millions of dollars through online fraud, according to police investigators.
Authoritie…
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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