AI-generated deepfakes and fake emails fuel online scams in France
Cybercriminals in France are using AI-generated deepfakes, fake videos, and synthetic content to conduct increasingly sophisticated online scams. A woman reportedly lost 830,000 euros to scammers impersonating actor Brad Pitt, while another incident involved scammers stealing 26 million euros from a Hong Kong company using deepfake video calls with employees.
What happened
AI-powered tools are increasingly used to conduct sophisticated online scams in France, including generating fake text messages, deepfake videos, and AI-generated images. A French woman reportedly lost 830,000 euros to scammers using a deepfake of actor Brad Pitt, and scammers created fictitious fundraising campaigns for Los Angeles wildfire victims.
Generative AI models enable criminals to create personalized phishing emails and deepfake videos that are nearly indistinguishable from authentic content. In February 2024, scammers obtained 26 million euros from a Hong Kong multinational by tricking a financial employee with deepfake video conferencing showing the company CEO and other employees.
Reported impact
France recorded more than 130,000 online scams in 2023, with a reported average annual increase of 8% in digital crimes involving property damage since 2016. Cybersecurity experts warn that both individuals and businesses are vulnerable to AI-enabled attacks.
The sophistication of current deepfake technology makes it nearly impossible for most people to distinguish generated content from authentic material, creating significant risk for targeted fraud and financial theft.
Index analysis
Generative AI text tools eliminate linguistic errors that previously signaled fraudulent messages, allowing non-native speakers to create convincing phishing campaigns. AI models can exploit previously stolen personal data to automate the creation of highly personalized scams targeting specific individuals and organizations.
Scammers increasingly use AI-generated deepfakes to establish trust with employees over time, waiting for them to gain influence or for a suitable opportunity to extract money. The latest generation of deepfakes has reached a level of realism that makes detection extremely difficult for typical users.
Classification
Sources and evidence
This record was researched and written by the Index, based on the following original reporting.