Yes, modern scammers use real-time face swaps, OBS virtual webcams, and pre-recorded video loops to fake FaceTime calls. Upload a recorded call clip to inspect for deepfake artifacts.
Speed Tip: Clips under 60 seconds analyze fastest (approx. 5–10s). Max video length: 5 minutes / 50 MB.
Visual Forensics Guide
Scammers use real-time face-swap software (like DeepFaceLive) and virtual camera loops to fool victims into believing they are talking to a real model on iPhone:
If you ask the caller to wave their hand in front of their nose and mouth, the face-swap model will glitch, showing original facial features between fingers.
The face often has different ambient color balance, skin tone, or sharp edges along the jawline compared to the neck and ears.
Scammers intentionally degrade video quality, freeze the screen, or claim audio issues to hide real-time rendering lag and frame drops.
Cars, ceiling fans, or background pets repeat the exact same 3–5 second motion loop while the caller speaks.
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Identify OBS virtual camera & DeepFaceLive injections.
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Detect unauthorized face replacement & body doubles.
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Detect Ray 1 & Ray 2 camera drift & reflection flaws.
Analyze 1080p generation patterns & kinetic interaction.
Identify synthetic diffusion curves, camera velocity & AI video clips.
Detect DeepMind Veo 2 cinematic camera motion & diffusion artifacts.
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Detect WanX 14B/1.3B 3D VAE artifacts & prompt-diffusion melting.
Identify Tencent dual-stream diffusion patterns & camera drift.
Spot THUDM 3D causal VAE edge ringing & temporal anomalies.
Inspect micro-facial muscle jitter & hair feathering.
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Spot micro-skin pore uniformity & synthetic catchlights.
Identify hyper-cinematic rim lighting & teeth geometry.
Spot cloned voices, synthetic timbre & pitch cadence anomalies online.
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