Training Machines for Application Scanning in Retro Style
Explore the potential of machine learning in offensive security testing through this conference talk from nullcon Goa 2017. Delve into supervised and unsupervised machine learning algorithms from an application security perspective. Learn about a prototype application scanner that uses ML to spider more effectively, understand application feedback, and fuzz intelligently. Discover how to build smarter security tools using recent ML advancements, with insights into both successes and failures encountered during development. Gain a practical understanding of machine learning applications in cybersecurity, dispelling the notion that it's overly complex. By the end, be equipped to contribute to or start building your own intelligent scanner for more effective application testing.