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Incident 1289: Malta's Prime Minister Robert Abela Reportedly Deepfaked by a Ukrainian National in Cryptocurrency Fraud Targeting Local Residents

Description: A 24-year-old Ukrainian woman, Kateryna Izotkina, was reportedly arrested in Malta after allegedly using an AI-generated deepfake video of Prime Minister Robert Abela to promote a fraudulent cryptocurrency scheme. According to investigators, victims were misled into transferring tens of thousands of euros, including one who reportedly lost €53,250. Police conducted a controlled delivery and detained the suspect, who has been charged with fraud, money laundering, and related offenses.

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Alleged: Synthetic audio generation technology developers , Deepfake technology developers and Synthetic media generation technology developers developed an AI system deployed by Maria Lipinski , Kateryna Izotkina , Money launderers , Scammers and Deepfake creators, which harmed Robert Abela , Investors in Malta , Investors , General public of Malta , General public and Epistemic integrity.
Alleged implicated AI systems: Telegram , Synthetic audio generation technology , Deepfake technology , AnyDesk and Synthetic media generation technology

Incident Stats

Incident ID
1289
Report Count
3
Incident Date
2025-07-28
Editors
Daniel Atherton
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

4.3. Fraud, scams, and targeted manipulation

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Malicious Actors & Misuse

Entity

Which, if any, entity is presented as the main cause of the risk
 

Human

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Intentional

Incident Reports

Reports Timeline

Incident OccurrenceUkrainian woman accused of using deepfake PM video in cryptocurrency scam+1
Woman lost her entire lifesavings in deepfake scam featuring Robert Abela
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Ukrainian woman accused of using deepfake PM video in cryptocurrency scam

Ukrainian woman accused of using deepfake PM video in cryptocurrency scam

newsbook.com.mt

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Woman lost her entire lifesavings in deepfake scam featuring Robert Abela

Woman lost her entire lifesavings in deepfake scam featuring Robert Abela

maltatoday.com.mt

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Watch: Woman scammed of €53k lifesavings after watching deepfake videos

Watch: Woman scammed of €53k lifesavings after watching deepfake videos

timesofmalta.com

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Ukrainian woman accused of using deepfake PM video in cryptocurrency scam
newsbook.com.mt · 2025

A 24-year-old Ukrainian national has been remanded in custody after being accused of defrauding several people in Malta through a cryptocurrency scam promoted with an AI-generated video of Prime Minister Robert Abela.

The woman, identified …

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Woman lost her entire lifesavings in deepfake scam featuring Robert Abela
maltatoday.com.mt · 2025

A woman told a court that she lost her entire life savings - over €53,000 - after falling victim to an online scam involving deepfake videos of Prime Minister Robert Abela.

The testimony came during the criminal proceedings against Kateryna…

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Watch: Woman scammed of €53k lifesavings after watching deepfake videos
timesofmalta.com · 2025

A woman has told a court how she lost her life savings after investing over €53,000 when she came across deepfake videos featuring prime minister Robert Abela on Facebook. 

The woman took the witness stand on Monday afternoon in criminal pr…

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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