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Systems and methods for identifying detection-evasion behaviors of files undergoing malware analyses

机译:用于识别进行恶意软件分析的文件的检测逃避行为的系统和方法

摘要

The disclosed computer-implemented method for identifying detection-evasion behaviors of files undergoing malware analyzes may include (1) monitoring, by a plurality of monitor components related to an automated execution environment, a file that is undergoing a malware analysis in the automated execution environment, (2) detecting a suspicious discrepancy among the monitor components with respect to computing activity observed in connection with the malware analysis by (A) identifying a monitor component that has observed the computing activity in connection with the malware analysis and (B) identifying another monitor component that has not observed the computing activity in connection with the malware analysis, and then (3) determining, based at least in part on the suspicious discrepancy, that the file demonstrates a detection-evasion behavior that led to the other monitor component not observing the computing activity in connection with the malware analysis. Various other methods, systems, and computer-readable media are also disclosed.
机译:所公开的用于识别经历恶意软件分析的文件的检测逃避行为的计算机实现的方法可以包括:(1)通过与自动化执行环境有关的多个监视器组件来监视在自动化执行环境中进行恶意软件分析的文件。 ,(2)通过(A)识别已观察到与恶意软件分析相关的计算活动的监视器组件,并(B)识别另一个监视组件,以检测与恶意软件分析相关的观察到的计算活动之间的可疑差异。监视组件,该监视组件未观察到与恶意软件分析相关的计算活动,然后(3)至少部分基于可疑差异,确定该文件演示了导致其他监视组件没有进行检测的逃避行为观察与恶意软件分析相关的计算活动。还公开了各种其他方法,系统和计算机可读介质。

著录项

  • 公开/公告号US9692773B1

    专利类型

  • 公开/公告日2017-06-27

    原文格式PDF

  • 申请/专利权人 SYMANTEC CORPORATION;

    申请/专利号US201414567440

  • 发明设计人 ANDREW WATSON;ABUBAKAR WAWDA;

    申请日2014-12-11

  • 分类号G06F21;H04L29/06;G06F21/56;G06F21/53;

  • 国家 US

  • 入库时间 2022-08-21 13:43:01

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