Alleged Deepfake Videos Impersonate Lithuanian Politicians and Doctors in Purported Cross-Border Scam Network
June 28, 2025
This campaign was described by fact-checkers and cybersecurity experts as part of a coordinated effort aimed at extracting money from unsuspecting audiences by impersonating trusted public figures and media outlets. Such incidents underscore the importance of safe and secure AI practices and the role that Project Cerebellum plays in establishing trustworthy AI governance.
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Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MAP 4.2 — similarity 0.583, rank 1. TAIM detail and related incidents →
- MAP 1.6 — similarity 0.581, rank 2. TAIM detail and related incidents →
- MAP 4.1 — similarity 0.580, rank 3. TAIM detail and related incidents →
- Alleged deployer
- unknown-scammers, unknown-international-scam-network-operating-across-multiple-eu-countries
- Alleged developer
- unknown-deepfake-technology-developers, unknown-voice-cloning-technology-developers
- Alleged harmed parties
- aurelijus-veryga, vytautas-kasiulevicius, social-media-users-in-lithuania, general-public-of-lithuania, general-public-of-the-european-union
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1119
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.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.