Invention Grant
- Patent Title: Systems and methods for detecting an attack on an auto-generated website by a virtual machine
-
Application No.: US15352714Application Date: 2016-11-16
-
Publication No.: US10320817B2Publication Date: 2019-06-11
- Inventor: Hani Neuvirth-Telem , Elad Yom-Tov , Royi Ronen , Daniel Alon Hilevich
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Workman Nydegger
- Main IPC: G06F21/50
- IPC: G06F21/50 ; H04L29/06 ; G06F16/951 ; H04L29/08 ; G06F21/57

Abstract:
A system for detecting an attack by a virtual or physical machine on one or more auto-generated websites is provided. The system includes a processor, a memory, and an application. The application is stored in the memory and includes instructions, which are executable by the processor. The instructions are configured to: access an index of a search engine server computer and determine uniform resource locators (URLs) of auto-generated websites, where the auto-generated websites include the one or more auto-generated websites; and access Internet protocol (IP) address-URL entries stored in a domain name system server computer. The instructions are also configured to: determine a first feature based on the URLs of the auto-generated websites and the IP address-URL entries; collect header data of packets transmitted to or received from the virtual or physical machine; determine a second feature based on the first feature and the header data; based on the second feature, generate a value indicative of whether the first virtual or physical machine has attacked the one or more auto-generated websites; and perform a countermeasure based on the value.
Public/Granted literature
- US20180139215A1 SYSTEMS AND METHODS FOR DETECTING AN ATTACK ON AN AUTO-GENERATED WEBSITE BY A VIRTUAL MACHINE Public/Granted day:2018-05-17
Information query