Jumio warns about the rise of injection attacks as one of the most sophisticated and difficult-to-detect threats in identity verification processes. Unlike conventional identity spoofing methods —injection attacks bypass traditional fraud detection methods by manipulating the input channel itself. Instead of presenting an image or video in front of the camera, attackers alter the system at its source, compromising the integrity of the digital process. Their effectiveness can result in financial fraud, creation of fake identities, evasion of regulatory controls, and loss of user trust and strategic partner confidence. Given this scenario, liveness detection is no longer a value-added feature — it is now an essential component of security. To combat injection attacks, systems must be able to distinguish between a real person in front of a camera and a manipulated video source. Effective identity verification technologies against injection attacks should: Differentiate between a legitimate source and an emulated one, identifying whether the video comes from a real camera or software emulator. Accurately match the presented face with the ID document, ensuring biometric consistency. Detect invisible clues such as synthetic artifacts, repetitions, or inconsistencies in lighting, textures, and depth. Recognize suspicious patterns, like reused backgrounds in multiple attempts or pre-recorded videos presented as live input.