Descripción: Cato CTRL security researchers reported that the cybercriminal group ProKYC is selling a deepfake tool capable of bypassing biometric and two-factor authentication (2FA) systems on cryptocurrency exchanges. The tool creates synthetic identities using AI-generated videos and forged documents, enabling fraudulent account creation. A demo video from ProKYC shows the tool in action against ByBit, allowing attackers to verify fake accounts for purposes such as money laundering and identity theft.
Editor Notes: Reconstructing the timeline of events: (1) Sometime before 2024: ProKYC develops a deepfake tool designed to defeat biometric and 2FA systems. (2) Sometime in Q4 of 2024: Cato CTRL security researchers discover ProKYC’s deepfake tool being sold in the cybercriminal underground. (3) October 9, 2024: Cato Networks publishes its report.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por ProKYC, perjudicó a ByBit , Cryptocurrency exchanges y Cryptocurrency investors.
Estadísticas de incidentes
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.3. Fraud, scams, and targeted manipulation
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Malicious Actors & Misuse
Entity
Which, if any, entity is presented as the main cause of the risk
Human
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Intentional
Informes del Incidente
Cronología de Informes
Los investigadores de seguridad de Cato CTRL descubrieron recientemente un actor de amenazas, ProKYC, que vende una herramienta deepfake en el submundo cibercriminal que ayuda a los actores de amenazas a superar la autenticación de dos fact…
Variantes
Una "Variante" es un incidente que comparte los mismos factores causales, produce daños similares e involucra los mismos sistemas inteligentes que un incidente de IA conocido. En lugar de indexar las variantes como incidentes completamente separados, enumeramos las variaciones de los incidentes bajo el primer incidente similar enviado a la base de datos. A diferencia de otros tipos de envío a la base de datos de incidentes, no se requiere que las variantes tengan informes como evidencia externa a la base de datos de incidentes. Obtenga más información del trabajo de investigación.
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