Deep-Live-Cam and Deep-Live-Cam-User-Face

The second is a fork of the first that weaponizes its real-time face-swapping capability specifically for circumventing biometric authentication systems, transforming a general deepfake tool into a targeted attack vector.

Deep-Live-Cam
71
Verified
Maintenance 23/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 13/25
Adoption 5/25
Maturity 9/25
Community 17/25
Stars: 79,998
Forks: 11,666
Downloads:
Commits (30d): 24
Language: Python
License: AGPL-3.0
Stars: 12
Forks: 11
Downloads:
Commits (30d): 0
Language: C#
License: MIT
No Package No Dependents
No Package No Dependents

About Deep-Live-Cam

hacksider/Deep-Live-Cam

real time face swap and one-click video deepfake with only a single image

Leverages ONNX-based face detection and swapping models (inswapper, GFPGANv1.4) with configurable execution providers (CUDA, CoreML, CPU) for cross-platform GPU acceleration. Supports simultaneous multi-face mapping, mouth masking for preserved mouth movements, and real-time webcam/video stream processing through a Python GUI. Integrates with FFmpeg for video handling and supports virtual camera output for streaming platforms.

About Deep-Live-Cam-User-Face

Stelteryz/Deep-Live-Cam-User-Face

Uses deepfake technology to bypass ID checks and 2FA by simulating a users face in realtime during live webcam verification, tricking biometric systems into granting unauthorized access through realistic facial mimicry. machine-learning, webcam, faceswap, artificial-intelligence, deepfake, 2fa-bypass, identity-theft, spoofing

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