自动化接入 · API / MCP EN

技术说明 · T1497.002

User Activity Based Checks

Adversaries may employ various user activity checks to detect and avoid virtualization and analysis environments. This may include changing behaviors based on the results of checks for the presence of artifacts indicative of a virtual machine environment (VME) or sandbox. If the adversary detects a VME, they may alter their malware to disengage from the victim or conceal the core functions of the implant. They may also search for VME artifacts before dropping secondary or additional payloads. Adversaries may use the information learned from Virtualization/Sandbox Evasion during automated discovery to shape follow-on behaviors. Adversaries may search for user activity on the host based on variables such as the speed/frequency of mouse movements and clicks , browser history, cache, bookmarks, or number of files in common directories such as home or the desktop. Other methods may rely on specific user interaction with the system before the malicious code is activated, such as waiting for a document to close before activating a macro or waiting for a user to double click on an embedded image to activate.

ATT&CK T1497.002 platforms — 状态 有效 版本 20.1

Adversaries may employ various user activity checks to detect and avoid virtualization and analysis environments. This may include changing behaviors based on the results of checks for the presence of artifacts indicative of a virtual machine environment (VME) or sandbox. If the adversary detects a VME, they may alter their malware to disengage from the victim or conceal the core functions of the implant. They may also search for VME artifacts before dropping secondary or additional payloads. Adversaries may use the information learned from Virtualization/Sandbox Evasion during automated discovery to shape follow-on behaviors.1 Adversaries may search for user activity on the host based on variables such as the speed/frequency of mouse movements and clicks2 , browser history, cache, bookmarks, or number of files in common directories such as home or the desktop. Other methods may rely on specific user interaction with the system before the malicious code is activated, such as waiting for a document to close before activating a macro3 or waiting for a user to double click on an embedded image to activate.4

  1. Deloitte Environment Awareness
  2. Sans Virtual Jan 2016
  3. Unit 42 Sofacy Nov 2018
  4. FireEye FIN7 April 2017

使用该技术的组织

组织名称国家
grp_g0012DarkhotelSouth Korea
grp_g0046FIN7—

断言

尚无指向该技术的公开断言。

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