PassGAN is a machine learning-based password guessing tool that uses Generative Adversarial Networks (GANs) to automatically learn password patterns from real-world password leaks and generate new, realistic password guesses. Unlike traditional password crackers (e.g.
Open source desktop tool for real time face swapping in webcam feeds, one-click video deepfakes with a single image, mouth masking, and offline processing.