Persona and University at Buffalo launch taxonomy of selfie fraud
Persona, with researchers from the University at Buffalo, launched the Digital Taxonomy of Fraud — an interactive classification system for attacks on selfie verification with over 3,800 examples. According to Persona, 86.2% of 27 million fraudulent selfies in the first half of 2026 were presentation attacks, and 76.5% did not use deepfakes at all.
- 86.2% of fraudulent selfies are presentation attacks, 76.5% without deepfakes
- Attacks divided into presentation, injection, and media manipulation
- Over 3,800 examples available on Hugging Face for model training
- Injections of real person video occur 194% more often than AI faces
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