Abstract,Intro Required Software Core Hash Cracking Knowledge Cracking Methodology Basic Cracking -John The Ripper -Hash Cracking Benchmarks -Hash Cracking Speed — Abstract Password cracking and user account exploitation is one of the largest issues in cybersecurity.State-of-the-art password guessing tools, such as HashCat and John the Ripper, enable potential attackers to check billions of passwords per second against generated password hashes.While these tools have proved to be effective in cracking passwords, recent research shows that combining deep learning techniques with these tools can produce significantly better results. Specifically, using Generative Adversarial Networks (GANs), which comprises of two neural networks, to generate high-quality password guesses can improve the existing tools to match 51%-73% more passwords than just the tools alone. This significant improvement demonstrates that this new approach using deep learning can generate numerous new pass- words that were once beyond the reach of other tools. On one hand, this is an impressive result driven by researchers of deep learning and cybersecurity, and on the other, a strong warning to the community of the increase dangers of weak password authentication