Patent №
US 8,196,205
Granted
2012-06-05
Filed 2006
Owner
UNIVERSITY OF WASHINGTON
Lab
—
AI components
2
kr · planning
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
11426370
A system analyzes content accessed at a network site to determine whether it is malicious. The system employs a tool able to identify spyware that is piggy-backed on executable files (such as software downloads) and is able to detect “drive-by download” attacks that install software on the victim's computer when a page is rendered by a browser program. The tool uses a virtual machine (VM) to sandbox and analyze potentially malicious content. By installing and running executable files within a clean VM environment, commercial anti-spyware tools can be employed to determine whether a specific executable contains piggy-backed spyware. By visiting a Web page with an unmodified browser inside a clean VM environment, predefined “triggers,” such as the installation of a new library, or the creation of a new process, can be used to determine whether the page mounts a drive-by download attack.
AI classification
Ownership
UNIVERSITY OF WASHINGTON
assignment · 178540534