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AII-1001-84869
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UAE detects 1,200 deepfake donation scams in 2024

The UAE Cybersecurity Council detected over 1,200 cases of online begging and donation fraud scams in 2024, with criminals using deepfake technology and fake social media accounts to impersonate real individuals and solicit donations. Authorities collaborated to shut down fraudulent accounts and advised the public to verify donations through licensed organizations only.

17 March 2025 Β· UAE Cybersecurity Council Β· Fraud, scams and manipulation
17 March 2025
AII-1001-84869
Quick facts
Category
Fraud, scams and manipulation
Country
United Arab Emirates
Date
17 March 2025
Drafted by
Raidu Incident Detection

What happened

Over 1,200 cases of online begging and fraudulent donation campaigns were detected by the UAE Cybersecurity Council in 2024, with scammers exploiting social media platforms particularly during Ramadan.

Fraudsters used fake accounts, emotionally charged videos, and deepfake technology to impersonate real individuals and solicit donations from unsuspecting victims.

Reported impact

The scams impacted individuals across all demographics in the UAE, with cybercriminals manipulating public sentiment during religious occasions and holidays to steal funds.

Index analysis

The UAE Cybersecurity Council employed advanced technologies to detect fraudulent accounts, analyse suspicious patterns, and track illicit financial transactions.

Authorities collaborated with security agencies and financial institutions to shut down fake accounts and prosecute offenders.

Governance controls

The Council advised the public to verify donation requests through licenced organisations only and to report suspicious activity to authorities.

Dr. Mohamed Al Kuwaiti, Head of Cybersecurity of the UAE Government, urged residents to authenticate donation requests and exercise caution when sharing financial information online.

Classification

Category
Fraud, scams and manipulation
Industry
Digital security
Country
United Arab Emirates
Harm status
Actual harm
Intent
Intentional
Timing
Unknown
Harm types
Economic or property, Public interest
Harmed
Consumers, General public
Failure modes
Deepfake image, Deepfake video, Manipulation or dark pattern
AI systems
Deepfake technology

Sources and evidence

Sources not yet published

This record was researched and written by the Index from original reporting. Its sources are still being verified by an editor, and they are listed here once that check is complete. Until then the record carries no reviewer.

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