Krizová ochrana s nulovým ukládáním: Vaše nahraná média a důkazy jsou analyzovány výhradně v dočasné paměti RAM a okamžitě po dokončení trvale smazány. Žádné logy, žádné zálohy v cloudu.

Next-Gen Face SwapperÚroveň závažnosti hrozby: Kritická

FaceFusion Deepfake Detector: Next-Gen Video Face Swapping Forensics

Comprehensive forensic analysis of the premier modern face-swapping and video enhancement pipeline.

Ověřte pravost médií se Sealed Rose

Okamžité multimodální neuronové skenování · Zdarma · Není nutný účet · Nulové ukládání · Analýza v paměti RAM

Ověřit video a face-swap

FaceFusion is the premier open-source face-swapping and face-enhancement framework. It combines high-resolution face swapping (Ghost, Inswapper) with neural restoration (CodeFormer, GFPGAN) and frame color matching. Despite its photorealism, Sealed Rose detects the boundary masks and restoration artifacts left by FaceFusion.

Kritické varovné signály a indikátory

1Overly Sharp Facial Features Compared to Hair and Clothes

The eyes, lips, and nostrils are unnaturally crisp while the surrounding hair and clothing exhibit natural camera compression blur.

2Teeth Pattern Duplication Across Different Emotions

CodeFormer enhancement generates idealized symmetrical teeth that look identical across varying mouth movements.

FaceFusion Enhancement Pipeline Artifacts

  • Dual-Pass Restoration Discontinuity: Running GFPGAN or CodeFormer over the swapped face creates a measurable frequency discrepancy between face pixels and the rest of the image.

Jak se chránit a jak postupovat

KROK 1

Analyze Media in Sealed Rose Video Detector

Our multi-model classifier pinpoints dual-pass restoration and facial boundary masks.

Často kladené otázky

Can FaceFusion be detected?

Yes! While visually convincing to human eyes, neural restorers like CodeFormer leave unmistakable high-frequency noise discrepancies that Sealed Rose’s forensic pipeline flags immediately.

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