Cybernews researchers confirmed an Android toolkit capable of feeding fake photos, prerecorded videos, and remote live video directly into KYC verification apps as if it were coming from the device's real camera. No root required. Works on Android 10 through 16. The technical mechanism is a virtual camera driver that intercepts the camera API at the OS level. When a verification app requests a camera feed it receives synthetic content instead of real footage. From the app's perspective the footage is indistinguishable from a live camera session because it is arriving through the legitimate camera channel. The numbers behind this are alarming. Virtual camera injection attacks grew 2,665% year over year according to iProov's threat intelligence. In the second half of 2025 alone injection attacks targeting iOS surged 1,151%, contributing to a 741% annual rise. Injection attacks have definitively overtaken presentation attacks, holding a phone photo up to a camera, as the primary KYC bypass vector. 8.3% of all digital onboarding attempts were flagged as suspicious in the first half of 2025. Banks consider digital onboarding their most dangerous fraud exposure point. The reason this matters beyond identity fraud is the downstream effect on every system that uses selfie verification as a trust anchor. Bank account opening. Crypto exchange verification. Fintech onboarding. Uber driver verification. Every platform that replaced a human identity check with a selfie liveness check built that trust on an assumption that is now comprehensively broken. The fix requires three concurrent detection layers running simultaneously. Liveness analysis to detect presentation attacks. Deepfake detection examining frame-level artifacts. And injection signal analysis checking for virtual camera drivers and session metadata inconsistencies. Server-side checks that evaluate the image after it arrives cannot stop an attack that replaced the feed before it was ever captured. The selfie was never as secure as it felt. The toolkit just made that visible.