{"repo":"Stellaryz/Deep-Live-Cam-Bypass-Id-Verification-2fa-User-Face","free":true,"listed":false,"github":"https://github.com/Stellaryz/Deep-Live-Cam-Bypass-Id-Verification-2fa-User-Face","clone":"git clone https://github.com/Stellaryz/Deep-Live-Cam-Bypass-Id-Verification-2fa-User-Face.git","description":"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.","language":"C#","stars":14,"topics":["2fa-bypass","ai","artificial-intelligence","authentication","cybersecurity","deepfake","face-recognition","faceswap","gan","identity-theft"],"license":"MIT","category":"security-tools","readme_excerpt":"What is DeepLive Cam? Deep Live Cam is an advanced tool built to simulate real-time webcam feeds using a chosen face, ideal for testing facial recognition systems and 2FA ID verification flows. It emulates realistic human behavior such as blinking, head movement, and facial expressions, ensuring high believability. Designed for research, development, and security auditing, it allows developers and analysts to evaluate how robust facial authentication systems are against spoofing attacks. With cross-platform support and high-resolution output, Deep Live Cam provides a controlled environment to stress-test identity verification systems while supporting ethical and lawful experimentation. Media https://github.com/user-attachments/assets/20fae4db-1101-4d8d-be3a-5ae8b66a1575 Features 1. Live Cam Emulation: Mimics real-time webcam feed. 2. Face Injection: Projects a target face into live stream. 3. 2FA/ID Test Bypass: Simulates user presence for verification. 4. Realistic Motion: Includes blinking, head movement, expressions. 5. High Resolution: Delivers clear and consistent facial output. 6. Multi-Platform Support: Compatible with web and desktop apps. Installation 1. Download Visual Studio 2022 using Git Clone Or either download the project or exit the rar. Then Download Visual Studio 2022 Here Link VisualStudio Download Download These 2. OR 3. Then open the sln (Project Solution) file 4. Find Executable File How to Use 1. Open the Application - Locate the executable file ( .exe ","default_branch":null,"files":null,"tree":[],"storefront":"/r/Stellaryz","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Stellaryz/Deep-Live-Cam-Bypass-Id-Verification-2fa-User-Face/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}