Romance Scammer Deploys Deepfake Video to Defraud Victim
Scammers used AI-generated deepfake videos to impersonate a fictitious person and convince a victim to transfer money. The victim suffered a financial loss of 17000 pounds.
- first report
- 19 Dec 2024
- last update
- 19 Dec 2024
Timeline · 1
Sources · 1
Research and catalogues
- 2024-12-19Romance Scammer 'Alla Morgan' Allegedly Exploits Deepfake Technology to Defraud Victim of £17,000AI Incident Database · incidentdatabase.ai/cite/878
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Classification
- AI role
- AI-enabled attack
- categories
- Deepfake fraud
- severity
- 4 · Confirmed real-world loss
- targets
- Individuals
- owasp llm top 10
- no entry for these categories
- dates
- happened 19 Dec 2024 · first reported 19 Dec 2024
- origin
- AI Incident DatabaseDerived from the AI Incident Database (CC BY-SA 4.0).
- record
- confidence 0.90 · created 2026-10-18 06:33Z · updated 2026-10-18 06:59Z
Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned
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the brief as text
# Romance Scammer Deploys Deepfake Video to Defraud Victim https://gcdradar.vercel.app/incidents/romance-scammer-deploys-deepfake-video-to-defraud-victim · AIR-2024-0032 · closed 2025-01-02 - Lane: Breaches & attacks - Severity: 4 (Confirmed real-world loss) - Fix status: No fix needed - First reported: 2024-12-19 - AI role: AI-enabled attack ## Summary Scammers used AI-generated deepfake videos to impersonate a fictitious person and convince a victim to transfer money. The victim suffered a financial loss of 17000 pounds. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2024-12-19: Romance Scammer 'Alla Morgan' Allegedly Exploits Deepfake Technology to Defraud Victim of £17,000 (https://incidentdatabase.ai/cite/878) ## Sources - 2024-12-19 AI Incident Database: Romance Scammer 'Alla Morgan' Allegedly Exploits Deepfake Technology to Defraud Victim of £17,000 https://incidentdatabase.ai/cite/878 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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