Detecting obfuscated JavaScripts using machine learning
Published in Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences) • Jan 1, 2016
Authors:,,
Simon Aebersold
Krzysztof Kryszczuk
Sergio Paganoni
Abstract
JavaScript is a common attack vector for attacking browsers, browser plug-ins, email clients and other JavaScript enabled applications. Malicious JavaScripts redirect victims to exploit kits, probe for known vulnerabilities to select a fitting exploit or manipulate the Document Object Model (DOM) of...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!