公开(公告)号：US10129278B2

公开(公告)日：2018-11-13

申请号：US15155861

申请日：2016-05-16

Applicant: Amazon Technologies, Inc.

Inventor： Jon A. McClintock ,  Eric J. Martin ,  Karl A. McCabe ,  Thibault Candebat ,  Adam J. Cecchetti ,  David Erdmann

IPC: H04L29/06 ,  G06F21/00 ,  G06F21/56

Abstract: Disclosed are various systems, methods, and other embodiments directed to detection of malware in content items. To detect the malware, for example, one or more content items are identified in association with the rendering of a network page in a simulated environment. A plurality of tests are applied to the one or more content items to detect an existence of malware associated with the content items.

公开(公告)号：US20160261623A1

公开(公告)日：2016-09-08

申请号：US15155861

申请日：2016-05-16

Applicant: Amazon Technologies, Inc.

Inventor： Jon A. McClintock ,  Eric J. Martin ,  Karl A. McCabe ,  Thibault Candebat ,  Adam J. Cecchetti ,  David Erdmann

IPC: H04L29/06

CPC classification number: H04L63/1425 ,  G06F21/00 ,  G06F21/566 ,  H04L63/1416

Abstract: Disclosed are various systems, methods, and other embodiments directed to detection of malware in content items. To detect the malware, for example, one or more content items are identified in association with the rendering of a network page in a simulated environment. A plurality of tests are applied to the one or more content items to detect an existence of malware associated with the content items.

Abstract translation: 公开了针对内容项目中的恶意软件的检测的各种系统，方法和其他实施例。 为了检测恶意软件，例如，在模拟环境中与网络页面的呈现相关联地识别一个或多个内容项目。 多个测试被应用于一个或多个内容项目以检测与内容项目相关联的恶意软件的存在。