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.