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Incident 966: Ferrari Executive Targeted by AI Deepfake Scam Impersonating CEO Benedetto Vigna

Description: A Ferrari executive was targeted by an AI-generated deepfake impersonating CEO Benedetto Vigna in an alleged fraud attempt. The scammer, using WhatsApp and a cloned voice, claimed an urgent, secretive financial deal required immediate action. The executive became suspicious after detecting slight artificial intonations; the scam failed when the executive tested the caller by asking about a recent book recommendation.
Editor Notes: The incident date of 07/16/2024 is an approximation. Reporting suggests it was on a Tuesday in July 2024 that the incident occurred.

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Alleged: Unknown deepfake technology developer and Unknown voice cloning technology developer developed an AI system deployed by scammers , Fraudsters , Phishers and Scammers impersonating Benedetto Vigna, which harmed Unnamed Ferrari executive , Benedetto Vigna and Ferrari.
Alleged implicated AI systems: Unknown deepfake app and Unknown voice cloning technology

Incident Stats

Incident ID
966
Report Count
1
Incident Date
2024-07-16
Editors

Incident Reports

Reports Timeline

Incident OccurrenceFerrari Avoided Potentially Losing Millions To An AI CEO Deepfake In The Most Ironic Way Possible
Ferrari Avoided Potentially Losing Millions To An AI CEO Deepfake In The Most Ironic Way Possible

Ferrari Avoided Potentially Losing Millions To An AI CEO Deepfake In The Most Ironic Way Possible

theautopian.com

Ferrari Avoided Potentially Losing Millions To An AI CEO Deepfake In The Most Ironic Way Possible
theautopian.com · 2024

The world is an extraordinarily complex place. I feel like we've only just come to terms with the concept of images being photoshopped, and now AI deepfake voices and videos are making it difficult to trust anything. It's important to liste…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.

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