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1
Intro
2
Stop The Hacker - CloudFlare
3
Web Malware - Existing Tools Fail
4
Web Malware - Attack Vectors
5
Identification - Highlights
6
Identification - Challenges
7
Identification - Web Malware
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Tarpit - Collect Data
9
Tarpit - Is this better
10
Tarpit - Startup
11
Tarpit - Challenges
12
Tarpit - A Twist
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Machine Learning
14
More Challenges
15
That's all folks
Description:
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.

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

OWASP Foundation
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