Sealed Rose Deepfake Video Detector
AI deepfake video & synthetic media forensics platform.
Sealed Rose is a digital media forensics platform engineered to verify video, image, and audio authenticity. By combining frequency-domain spectral inspection, facial landmark micro-movement analysis, and neural artifact recognition, Sealed Rose accurately identifies generative AI media, face-swap manipulations, and synthetic impersonation content. Built for DFIR analysts, cybersecurity teams, and everyday users verifying digital evidence.
Features
- Frame-by-frame deepfake detection for synthetic video files and URLs
- Generative AI model attribution (detects Midjourney, Flux, Sora, Runway, Kling, Veo)
- Passive camera sensor EXIF and PRNU noise pattern analysis
- Air-gapped API, Python SDK, Node.js SDK, and Docker container support
- Fast browser extensions for Chrome and Firefox
- 100% free interactive online triage engine at sealedrose.com/verify-video
Use Cases
- Incident Response: Triaging suspicious video and audio in CEO fraud and phishing campaigns
- KYC & Identity Verification: Detecting face swaps in video customer onboarding
- Journalism & OSINT: Verifying real-world footage authenticity before publication
- Personal Safety: Protecting against synthetic identity theft, catfish scams, and extortion
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Comments
Hey Fazier community! 👋 I'm Derek, founder of Sealed Rose. I built this after watching a friend nearly get scammed by a deepfake video impersonating a CEO — a Zoom call where the attacker used real-time face swapping to authorize a fraudulent wire transfer. The scary part? Every existing tool they tried either required an enterprise contract, returned vague results, or just didn't work. So I built the verification engine I wish existed: frame-by-frame forensic analysis, generative AI model attribution, and passive sensor fingerprinting — completely free to use at sealedrose.com/verify-video. No account. No friction. We've also published fully open-source SDKs on NPM and PyPI for teams that want to pipe detection directly into their incident response workflows. Excited to launch here and hear your feedback. If you work in security, journalism, or just want to know if that viral video is real — try it and let me know what you think. 🌹
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Comments
Hey Fazier community! 👋 I'm Derek, founder of Sealed Rose. I built this after watching a friend nearly get scammed by a deepfake video impersonating a CEO — a Zoom call where the attacker used real-time face swapping to authorize a fraudulent wire transfer. The scary part? Every existing tool they tried either required an enterprise contract, returned vague results, or just didn't work. So I built the verification engine I wish existed: frame-by-frame forensic analysis, generative AI model attribution, and passive sensor fingerprinting — completely free to use at sealedrose.com/verify-video. No account. No friction. We've also published fully open-source SDKs on NPM and PyPI for teams that want to pipe detection directly into their incident response workflows. Excited to launch here and hear your feedback. If you work in security, journalism, or just want to know if that viral video is real — try it and let me know what you think. 🌹
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