Class: Trojan-PSW
Trojan-PSW programs are designed to steal user account information such as logins and passwords from infected computers. PSW is an acronym of Password Stealing Ware. When launched, a PSW Trojan searches system files which store a range of confidential data or the registry. If such data is found, the Trojan sends it to its “master.” Email, FTP, the web (including data in a request), or other methods may be used to transit the stolen data. Some such Trojans also steal registration information for certain software programs.Read more
Platform: MSIL
The Common Intermediate Language (formerly known as Microsoft Intermediate Language, or MSIL) is an intermediate language developed by Microsoft for the .NET Framework. CIL code is generated by all Microsoft .NET compilers in Microsoft Visual Studio (Visual Basic .NET, Visual C++, Visual C#, and others).Family: Reline
No family descriptionExamples
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38FAE4AE345DD4E2F8691BB372F95690
517CE74E1A7D20A75649E875654C5AE9
F935F7917527075F79437FEE230ACD64
Tactics and Techniques: Mitre*
Adversaries may employ various system 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 employ various system 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 employ various system 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 employ various system 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 attempt to get a listing of software and software versions that are installed on a system or in a cloud environment. Adversaries may use the information from Software Discovery during automated discovery to shape follow-on behaviors, including whether or not the adversary fully infects the target and/or attempts specific actions.
* © 2025 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.