Neuralfuzz - Neural Networks for Fuzzing Web Apps

YouTube·Hack In The Box Security Conference

Explore the innovative application of neural networks in web application fuzzing through this conference talk from HITB GSEC 2017. Delve into the challenges of traditional fuzzing methods and discover how neural networks can enhance coverage and efficiency. Learn about the architecture of a neural network-based fuzzing tool, including the use of recurrent neural networks and LSTM units. Examine practical examples of payload generation for Local File Inclusion (LFI) attacks and analyze the results. Gain insights from Ivan Novikov, CEO and Lead Security Expert of Wallarm, as he shares his vision for the future of fuzzing techniques in web application security.