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An international scam network utilized high-quality AI-generated deepfake videos to impersonate Lithuanian politicians and doctors, promoting fraudulent health products and anti-vaccine disinformation. The campaign, which reached audiences across 14-15 EU countries, used these realistic fakes to redirect users to websites designed to steal money. Experts and the National Crisis Management Centre described the operation as a 'new level of fraud' that challenges current law enforcement and social media moderation capabilities.
An alleged series of high-quality AI-generated deepfake videos reportedly mimicked Lithuanian TV segments, politicians, and doctors to promote fraudulent health products and anti-vaccine disinformation. Distributed mainly via Facebook, the videos reportedly reached audiences in up to 15 EU countries. Fact-checkers and cybersecurity experts reportedly described the campaign as part of a coordinated scam network designed to extract money by impersonating trusted public figures and media outlets.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
Using AI systems to gain a personal advantage over others such as through cheating, fraud, scams, blackmail or targeted manipulation of beliefs or behavior. Examples include AI-facilitated plagiarism for research or education, impersonating a trusted or fake individual for illegitimate financial benefit, or creating humiliating or sexual imagery.
Also classified as
The scam campaign also spread anti-vaccine disinformation at scale across multiple EU countries to attract attention and amplify their reach.
The scammers used AI deepfake technology to impersonate trusted public figures and doctors in order to run a financial scam and steal money from victims.
Human
Due to a decision or action made by humans
Intentional
Due to an expected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed
The incident was caused by human scammers intentionally using deployed AI deepfake generation tools to create fraudulent videos to steal money.
Added categories peak at 3: Substantial (Epistemic Harm, Inferred)
An international scam network leveraged advanced AI deepfakes to impersonate Lithuanian political and medical figures, launching a multi-nation disinformation and financial fraud campaign across the EU. This incident represents a substantial information warfare challenge, showcasing evolved capabilities in localized synthetic media that complicate law enforcement and state response.
The report describes scammers using AI tools to generate realistic deepfake videos from photos and prompts. The AI operated as a tool to perform a specific, well-defined function (video generation) based on direct human input without independent decision-making or planning.
Limited Risk: The report describes the creation and dissemination of AI-generated deepfakes. Under the EU AI Act, deepfakes are classified as limited risk, requiring specific transparency obligations to inform users that the content is AI-generated.
The AI systems were explicitly used to generate highly realistic deepfake videos and fabricated voices of Lithuanian public figures to mimic real news broadcasts.
The reports from LRT and TVP World provide consistent, detailed accounts of the deepfake scam campaign, including the specific public figures targeted, the platforms used, the geographic reach, and the mechanisms of the fraud. The role of AI is explicitly stated, and there are no conflicting accounts.
The incident could be viewed primarily as a public health disinformation campaign, but the explicit goal of stealing money through scam links strongly supports the classification of financial fraud.
Technology
High-Quality Deepfake Generation
AI tools generated highly realistic videos with flawless visuals.
Improved Baltic Language Synthesis
AI systems synthesized Lithuanian speech with high grammatical accuracy.
Ease of Access to AI Tools
Scammers easily accessed public AI tools requiring only basic prompts.
Data Inputs
Publicly Available Footage Use
Scammers used public social network videos of politicians and doctors.
Human Factors
Susceptibility to Sensationalism
Audiences fell for emotional narratives about vaccine harm.
Lack of Critical Verification
Casual viewers failed to verify source domains or notice minor glitches.
Amplification by Activists
Anti-vaccine groups willingly shared the fake videos, increasing reach.
Process and Methods
Slow Platform Content Removal
Social media platforms failed to quickly detect and remove deepfakes.
Ineffective Platform Contact
Agencies tried contacting Facebook but saw no immediate results.
Management
Inadequate Platform Moderation
Social media companies prioritized other areas over Baltic content review.
Regulatory Environment
Non-cooperative Jurisdictions
Perpetrators operate from Russia and Ukraine, hindering investigations.
Lack of Cross-Border Enforcement
Lithuanian police lack jurisdiction to tackle international scam networks.
AI system involved
An AI system was involved, but the reports do not identify it.
Identified by automated extraction; can differ from the alleged developers above.
