AI-Enabled Fraud Schemes Increase Consumer Financial Loss
AI-enabled attack4 Confirmed real-world lossDeepfake fraudAI phishing / social engineering
Scammers deployed voice cloning and synthetic IDs to conduct sophisticated fraud operations against bank customers. These attacks resulted in measurable financial losses and identity theft.
Details
- type
- AI-enabled attackAttackers used AI as a meaningful part of a cyberattack against someone else.
- categories
- Deepfake fraudprimarySynthetic voice, video or images used to impersonate people for fraud, extortion or access.
- AI phishing / social engineeringPhishing, lures and social engineering produced or personalised at scale with AI.
- Deepfake fraudprimary
- owasp llm top 10
- no entry for these categories
- mitre atlas
- Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
- severity
- 4 · Confirmed real-world lossFinancial loss, PHI/PII breach, safety impact or regulatory action.
- targets
- Individuals
- incident date
- 22 Jun 2024
- first reported
- 22 Jun 2024
- origin
- AI Incident DatabaseDerived from the AI Incident Database (CC BY-SA 4.0).
- classifier confidence
- 0.90 · published at or above 0.80; see the methodology
- tags
- voice_cloning · synthetic_ids · fraud
- record
- created 2026-10-18 06:33Z · updated 2026-10-18 06:59Z · json
Sources · 1
- 2024-06-22AI-Enabled Fraud Schemes Reportedly Increasing Consumer Harm and Challenging DetectionAI Incident Database · incidentdatabase.ai/cite/735
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