Дата обновления
04/06/2025

Класс: Hoax

Не причиняют компьютеру прямого вреда, однако выводят сообщения о том, что такой вред уже причинен, либо будет причинен, предупреждают пользователя об опасности, которой на самом деле не существует. К «злым шуткам» относятся, например, программы, которые пугают пользователя сообщениями о форматировании диска (хотя никакого форматирования на самом деле не происходит), выводят сообщения, характерные для вирусов, и т. д. — в зависимости от «чувства юмора» автора такой программы. К классу Hoax также относятся программы, предназначенные для мошенничества, например путем распространения архивов с оплатой за смс.

Подробнее

Платформа: MSIL

MSIL (Microsoft Intermediate Language; новое название – CIL, Common Intermediate Language) – промежуточный язык, разработанный компанией Microsoft для платформы .NET Framework. Код на языке CIL генерируют все компиляторы .NET компании Microsoft, входящие в среду разработки Microsoft Visual Studio (Visual Basic .NET, Visual C++, Visual C# и другие).

Семейство: Hoax.MSIL.ArchSMS

Нет описания семейства

Примеры

3851FDBCF4CC9ADDC9EB433C485D2891
0CB14C55207F093B7EE7BFD10B680023
C3A5BA1A5D80A32F169796B30E86B751
CB965F852AA7B48F9A8B28FA93224471
F4C84AF20F8E7CD6F7053DDDBF7B2DFB

Тактики и Техники: Mitre*

TA0002
Execution
The adversary is trying to run malicious code. Execution consists of techniques that result in adversary-controlled code running on a local or remote system. Techniques that run malicious code are often paired with techniques from all other tactics to achieve broader goals, like exploring a network or stealing data. For example, an adversary might use a remote access tool to run a PowerShell script that does Remote System Discovery.
T1106
Native API
Adversaries may interact with the native OS application programming interface (API) to execute behaviors. Native APIs provide a controlled means of calling low-level OS services within the kernel, such as those involving hardware/devices, memory, and processes. These native APIs are leveraged by the OS during system boot (when other system components are not yet initialized) as well as carrying out tasks and requests during routine operations.
TA0005
Defense Evasion
The adversary is trying to avoid being detected.

Defense Evasion consists of techniques that adversaries use to avoid detection throughout their compromise. Techniques used for defense evasion include uninstalling/disabling security software or obfuscating/encrypting data and scripts. Adversaries also leverage and abuse trusted processes to hide and masquerade their malware. Other tactics’ techniques are cross-listed here when those techniques include the added benefit of subverting defenses.
T1036
Masquerading
Adversaries may attempt to manipulate features of their artifacts to make them appear legitimate or benign to users and/or security tools. Masquerading occurs when the name or location of an object, legitimate or malicious, is manipulated or abused for the sake of evading defenses and observation. This may include manipulating file metadata, tricking users into misidentifying the file type, and giving legitimate task or service names.

Renaming abusable system utilities to evade security monitoring is also a form of Masquerading.(Citation: LOLBAS Main Site) Masquerading may also include the use of Proxy or VPNs to disguise IP addresses, which can allow adversaries to blend in with normal network traffic and bypass conditional access policies or anti-abuse protections.
T1497.001
System Checks
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.
TA0007
Discovery
The adversary is trying to figure out your environment. Discovery consists of techniques an adversary may use to gain knowledge about the system and internal network. These techniques help adversaries observe the environment and orient themselves before deciding how to act. They also allow adversaries to explore what they can control and what's around their entry point in order to discover how it could benefit their current objective. Native operating system tools are often used toward this post-compromise information-gathering objective.
T1010
Application Window Discovery
Adversaries may attempt to get a listing of open application windows. Window listings could convey information about how the system is used. For example, information about application windows could be used identify potential data to collect as well as identifying security tooling (Security Software Discovery) to evade.
T1082
System Information Discovery
An adversary may attempt to get detailed information about the operating system and hardware, including version, patches, hotfixes, service packs, and architecture. Adversaries may use the information from System Information Discovery during automated discovery to shape follow-on behaviors, including whether or not the adversary fully infects the target and/or attempts specific actions.
T1497.001
System Checks
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.

* © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.

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