The Rise of Biometric Video Injection Attacks: A Growing Threat to KYC Systems
The increasing use of generative AI and open-source tools has made it easier for hackers to create deepfakes and voice clones, posing a significant threat to KYC systems and biometric verification processes.
BiometricsDeepfake DetectionDeepfakesId RdInjection AttacksReal Estate MaharashtraJul 24, 2024
In recent years, video injection attacks have become increasingly common, particularly in KYC (know your customer) systems. These attacks involve manipulating or fabricating a digital video stream and inserting it into a communication channel to deceive biometric verification systems or human operators.
ID R&D, a leading provider of biometric identity authentication and fraud prevention solutions, has warned that hackers are using advanced digital manipulation techniques such as 3D rendering, face morphing, face swaps, and deepfakes to trick remote facial recognition systems. These attacks can be carried out through various means, including exploiting vulnerabilities in hardware, software, network protocols, and client-server interactions, as well as manipulating virtual environments and external devices.
According to ID R&D's guidance paper, some commonly used methods for video manipulation include virtual camera software, hardware video sticks, JavaScript injection, smartphone emulators, and intercepting network traffic. More advanced techniques such as hardware injection require a higher level of expertise to implement.
To prevent video injection attacks, organizations are recommended to comply with specific certifications and standards from the ISO/IEC 27000 family for KYC system development. Additionally, implementing encryption and secure transmission of the video feed, continuous authentication, and AI-based anomaly detection can help counter these attacks.
The European Association for Biometrics (EAB) is set to release the rTS 18099 standard in October, which aims to address the incorporation of biometric data between the data capture and signal processing components of a biometric system utilized for remote identity proofing.
As the use of generative AI and open-source tools continues to evolve, it is essential for organizations to stay ahead of the curve and implement robust security measures to prevent video injection attacks and protect their KYC systems.
ID R&D is a leading provider of biometric identity authentication and fraud prevention solutions, dedicated to helping organizations prevent identity fraud and protect their customers' sensitive information.
Information The use of generative AI and open-source tools has made it easier for hackers to create deepfakes and voice clones, posing a significant threat to KYC systems and biometric verification processes.
Frequently Asked Questions
What is a video injection attack?
A video injection attack is a type of attack where hackers manipulate or fabricate a digital video stream and insert it into a communication channel to deceive biometric verification systems or human operators.
How do video injection attacks work?
Video injection attacks involve digital manipulation techniques such as 3D rendering, face morphing, face swaps, and deepfakes to trick remote facial recognition systems.
What are the common methods used for video manipulation?
Common methods used for video manipulation include virtual camera software, hardware video sticks, JavaScript injection, smartphone emulators, and intercepting network traffic.
How can organizations prevent video injection attacks?
Organizations can prevent video injection attacks by implementing encryption and secure transmission of the video feed, continuous authentication, and AI-based anomaly detection.
What is the rTS 18099 standard?
The rTS 18099 standard is a new standard being released by the European Association for Biometrics (EAB) in October, which aims to address the incorporation of biometric data between the data capture and signal processing components of a biometric system utilized for remote identity proofing.
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