SYSTEM TO IDENTIFY MACHINES INFECTED BY MALWARE APPLYING LINGUISTIC ANALYSIS TO NETWORK REQUESTS FROM ENDPOINTS
Patent №
US 9,419,986
Granted
2016-08-16
Filed 2014
Owner
SYMANTEC CORPORATION
Lab
—
AI components
1
planning
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
14226626
A method to identify machines infected by malware is provided. The method includes determining whether a universal resource locator in a network request is present in a first cache and determining whether a fully qualified domain name from the uniform resource locator is present in a second cache. The method includes evaluating a parent hostname as to suspiciousness. The method includes indicating the computing device has a likelihood of infection, responsive to one of: the universal resource locator being present in the first cache with a first indication of suspiciousness, the fully qualified domain name being present in the second cache with a second indication of suspiciousness, or the evaluating the parent hostname having a third indication of suspiciousness, wherein at least one method operation is performed by the processor. A system and computer readable media are provided.
AI classification
Ownership
SYMANTEC CORPORATION
assignment · 325560775
Assignors
HART, MICHAEL, KIENZLE, DARRELL, ASHLEY, PETER
On an employer assignment, the assignors are typically the inventors.