sensity-ai/dot

Health v2 · maintenance only

Adoption not part of the score

4586 stars · 479 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

dot (Deepfake Offensive Toolkit) is a Python tool that generates real-time, controllable deepfakes from a webcam feed and injects them into virtual cameras. It is built for penetration testing of identity verification and video conferencing systems by security analysts, Red Teams, and biometrics researchers.

Use cases

• test identity verification systems against deepfake attacks
• perform red team penetration tests on video KYC onboarding
• inject real-time face swap into a virtual camera
• animate a photo with first order motion model
• research liveness detection and biometric spoofing
• evaluate video conferencing systems against face impersonation

When to choose

• you are a security analyst or red teamer testing facial verification or liveness systems
• you need real-time deepfake injection into virtual cameras without model training
• you research biometric spoofing defenses and need a reproducible attack toolkit

When to avoid

• you need production-grade deepfake generation for media creation rather than security testing
• you lack GPU hardware for real-time inference
• your use case is not authorized security research - misuse may be illegal

Facets

cli-tool · maturity active

deep-learning computer-vision image-processing video-processing penetration-testing gui deep-learning computer-vision security penetration-testing python windows deepfake face-swap virtual-camera red-team biometrics real-time identity-verification-testing linux macos gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="sensity-ai/dot")