ゼロ保存・危機対応保護：アップロードされた証拠データは揮発性メモリ内でのみ解析され、即座に完全破棄されます。ログやクラウド保存は一切ありません。
Zoom Live Face Swap Detector: Spotting Real-Time Deepfakes in Meetings
Auditing live video conferences for virtual webcam injection and GAN facial replacement.
Sealed Roseでメディアの真偽を検証
即時ニューラル解析 · 無料 · アカウント不要 · 保存ゼロ · メモリ内処理
As virtual camera software matures, bad actors use live face-swapping tools on Zoom to impersonate executives, bypass compliance meetings, and conduct CEO fraud. Sealed Rose detects the distinctive temporal discontinuities and lighting mismatches inherent to real-time generative models.
重要な警告サイン・兆候
1Facial Lighting Conflicts with Room Lighting
The candidate’s face appears illuminated from the top right, while shadows in their background indicate lighting from the left.
2Inconsistent Blinking and Eye Tracking
The person blinks either unnaturally rarely or in rapid mechanical bursts, with pupils failing to reflect screen glare.
Virtual Camera Driver Signatures
- DirectShow / V4L2 Device Emulation: Tools spoof native hardware webcams by registering virtual software devices.
- Temporal Frame Drops: Real-time rendering introduces micro-stuttering and dropped frames during rapid speech.
被害を防ぐための対策手順
Analyze Zoom Recordings on Sealed Rose
Upload video meeting recordings into Sealed Rose’s forensic pipeline to detect deepfake and synthetic media markers.
よくある質問
Can Zoom detect if a user is using a deepfake?▼
Zoom’s native client cannot distinguish between a real hardware webcam and a software virtual camera, leaving detection to specialized forensic tools like Sealed Rose.
23言語に対応: