Building a Web Malware Analyzer Using Machine Learning - Catch Me If You Can

Explore the evolving landscape of web malware and learn how to build a scalable malware analyzer using machine learning in this 48-minute conference talk from AppSecUSA 2014. Discover the latest trends in website infections, injection techniques, and how machine learning can outperform traditional antivirus engines in detecting non-obvious malware. Gain insights into web malware attack vectors, identification challenges, and data collection methods. Watch a live demonstration and learn how to set up mechanisms to catch sophisticated web threats. Understand the challenges faced in malware detection and explore innovative solutions using machine learning techniques.

Intro
Stop The Hacker - CloudFlare
Web Malware - Existing Tools Fail
Web Malware - Attack Vectors
Identification - Highlights
Identification - Challenges
Identification - Web Malware
Tarpit - Collect Data
Tarpit - Is this better
Tarpit - Startup
Tarpit - Challenges
Tarpit - A Twist
Machine Learning
More Challenges
That's all folks