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：US08910284B1

公开(公告)日：2014-12-09

申请号：US13746916

申请日：2013-01-22

Applicant: Amazon Technologies, Inc.

Inventor： David Erdmann ,  Karl A. McCabe ,  Jon A. McClintock

IPC: G06F15/173 ,  G06F15/16 ,  G06F21/56

CPC classification number: G06F21/56 ,  G06F21/552 ,  H04L63/1416

Abstract: Disclosed are various embodiments for determining a source of malware. At least one embodiment of a method includes receiving browsing data from a plurality of client devices, the data being sent by the plurality of client devices, in response to a determination of malware on the plurality of client devices and determining, from the browsing data, a source for the malware. Further, some embodiments include determining whether the source for the malware is associated with a predetermined network site and in response to determining that the source of the malware is associated with a predetermined network site, preventing download of at least a portion of the predetermined network site.

Abstract translation: 公开了用于确定恶意软件源的各种实施例。 方法的至少一个实施例包括响应于多个客户端设备上的恶意软件的确定，从多个客户端设备接收数据，由多个客户端设备发送数据，并从浏览数据确定， 恶意软件的来源。 此外，一些实施例包括确定恶意软件的源是否与预定网络站点相关联，并且响应于确定恶意软件的源与预定网络站点相关联，防止预定网站的至少一部分的下载 。

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。