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AII-1002-48971
Well documentedThree or more independent publishers report the core facts.

Deepfake AI tools enable sexual abuse material, identity fraud across East Asia

Deepfake AI tools including voice synthesis and video generation platforms are being weaponized in East Asia to create non-consensual sexual imagery, commit identity fraud through account takeovers, and facilitate romance scams and money laundering. Identity verification service providers have responded by deploying enhanced detection systems to counter increasingly sophisticated analog and digital impersonation methods.

20 October 2024 · Liquid · Fraud, scams and manipulation
20 October 2024
AII-1002-489716 sources ↓
Quick facts
Category
Fraud, scams and manipulation
Source
Excite
Date
20 October 2024
Drafted by
Raidu Incident Detection

What happened

Generative AI tools including voice synthesis services from ElevenLabs and video generation platforms from Synthesia, D-ID, and HourOne are being misused to create deepfake content across East Asia.

Malicious actors use these tools to create fraudulent images and videos for identity impersonation in account openings, including dating apps and financial services. Malware bots on Telegram reportedly generate non-consensual sexual imagery using AI technology.

Reported impact

Identity fraud schemes using deepfakes have led to money laundering, unauthorized bank account access, credit card fraud, and romance scams. In South Korea, educators report concerns that deepfake misuse poses risks in contexts like school yearbook production.

Fraudsters employ both analog methods (displaying fake media on phones or screens) and digital methods (embedding fake images and videos into websites and mobile apps) to deceive identity verification systems.

Index analysis

Deepfake creation tools have become accessible to broad audiences as generative AI technology advances, with low-cost availability making harmful use widespread. Most existing detection systems rely on passive judgment from single facial images, but emerging digital deception techniques bypass these safeguards.

Service providers in the identity verification sector have strengthened defenses by developing new deepfake detection features, including passive judgment capabilities that authenticate real-time facial capture without requiring additional user actions.

Governance controls

Liquid's online identity verification service LIQUID eKYC deployed enhanced deepfake detection using image recognition and AI analysis of 50 million cumulative identity verification records. The company developed passive judgment technology and flash-based forgery detection systems to counter both analog and digital impersonation attempts.

Classification

Category
Fraud, scams and manipulation
Industry
Media, social platforms and marketing
Harm status
Actual harm
Intent
Intentional
Timing
Unknown
Harm types
Economic or property, Human or fundamental rights, Reputational
Harmed
Consumers, General public, Women
Failure modes
Deepfake image, Deepfake video, Voice clone
AI systems
ElevenLabs Voice Synthesis, Midjourney Image Generation, Synthesia Video Generation, D-ID Video Generation, HourOne Video Generation

Sources and evidence

This record was researched and written by the Index, based on the following original reporting.

Excite
韓国の教師の7割「卒業アルバム制作やめるべき」、ディープフェイクの悪用懸念 -- 中国メディア (2024年10月21日) - エキサイトニュース
20 October 2024
BIGLOBEニュース
韓国の教師の7割「卒業アルバム制作やめるべき」、ディープフェイクの悪用懸念 -- 中国メディア(2024年10月21日)|BIGLOBEニュース
21 October 2024
ITmedia
日本は"無防備"か 選挙で「ディープフェイク」はこう使われる
22 October 2024
CNET
生成AIによるディープフェイク対策を強化、本人確認での新たな不正手口に対応
23 October 2024
Kstyle
映画「犯罪都市」出演イ・ジフン、ディープフェイク根絶広報大使に任命 - Kstyle
23 October 2024
WIRED.jp
「ディープフェイク・ポルノ」を生成する悪質AIボットがTelegramで蔓延している
24 October 2024