ESTE SERVIÇO PODE CONTER TRADUÇÕES FEITAS PELO GOOGLE. O GOOGLE SE ISENTA DE TODAS AS GARANTIAS RELACIONADAS ÀS TRADUÇÕES, EXPRESSAS OU IMPLÍCITAS, INCLUINDO QUALQUER RESPONSABILIDADE EM RELAÇÃO À PRECISÃO, CONFIABILIDADE E QUALQUER DEVER IMPLÍCITO SOBRE SUA COMERCIALIZAÇÃO, ADEQUAÇÃO PARA UM FIM ESPECÍFICO E NÃO-VIOLAÇÃO. Para sua conveniência, o site da Kaspersky Lab foi traduzido com a utilização do software de tradução Google Tradutor. Foram realizados esforços razoáveis para o oferecimento de uma tradução precisa; entretanto, as traduções automatizadas não são perfeitas e tampouco pretendem substituir a tradução qualificada de especialistas. Essas traduções são fornecidas como um serviço para os usuários do site da Kaspersky Lab e são exibidas "como estão". Não há nenhuma garantia de qualquer tipo, seja expressa ou implícita, sobre a precisão, confiabilidade, ou exatidão de quaisquer traduções feitas do inglês para qualquer outro idioma. Alguns conteúdos (como imagens, vídeos, Flash, etc.) podem não estar corretamente traduzidos devido às limitações do programa de tradução.
Data de atualização
02/09/2024

Classe: Trojan

Um programa malicioso projetado para espionar eletronicamente as atividades do usuário (interceptar entradas de teclado, fazer capturas de tela, capturar uma lista de aplicativos ativos, etc.). As informações coletadas são enviadas ao cibercriminoso por vários meios, incluindo e-mail, FTP e HTTP (enviando dados em uma solicitação).

Plataforma: MSIL

O Common Intermediate Language (anteriormente conhecido como Microsoft Intermediate Language ou MSIL) é uma linguagem intermediária desenvolvida pela Microsoft para o .NET Framework. O código CIL é gerado por todos os compiladores Microsoft .NET no Microsoft Visual Studio (Visual Basic .NET, Visual C ++, Visual C # e outros).

Família: Trojan.MSIL.Donut

No family description

Examples

5CA0C169FA8A07F896949656F0AF3FFF
182D5A9683A675167F1240510ADE12A2
711291116D5A8BDB1C8BE92572487C71
CF2607FD890B1634F459B8B8896F22E9
018855E757F044D7F877B43114FD9515

Tactics and Techniques: Mitre*

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.
T1012
Query Registry
Adversaries may interact with the Windows Registry to gather information about the system, configuration, and installed software.

The Registry contains a significant amount of information about the operating system, configuration, software, and security.(Citation: Wikipedia Windows Registry) Information can easily be queried using the Reg utility, though other means to access the Registry exist. Some of the information may help adversaries to further their operation within a network. Adversaries may use the information from Query Registry during automated discovery to shape follow-on behaviors, including whether or not the adversary fully infects the target and/or attempts specific actions.
T1120
Peripheral Device Discovery
Adversaries may attempt to gather information about attached peripheral devices and components connected to a computer system.(Citation: Peripheral Discovery Linux)(Citation: Peripheral Discovery macOS) Peripheral devices could include auxiliary resources that support a variety of functionalities such as keyboards, printers, cameras, smart card readers, or removable storage. The information may be used to enhance their awareness of the system and network environment or may be used for further actions.
T1614.001
System Location Discovery: System Language Discovery
Adversaries may attempt to gather information about the system language of a victim in order to infer the geographical location of that host. This information may be used to shape follow-on behaviors, including whether the adversary infects the target and/or attempts specific actions. This decision may be employed by malware developers and operators to reduce their risk of attracting the attention of specific law enforcement agencies or prosecution/scrutiny from other entities.(Citation: Malware System Language Check)

There are various sources of data an adversary could use to infer system language, such as system defaults and keyboard layouts. Specific checks will vary based on the target and/or adversary, but may involve behaviors such as Query Registry and calls to Native API functions.(Citation: CrowdStrike Ryuk January 2019)

For example, on a Windows system adversaries may attempt to infer the language of a system by querying the registry key HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\Nls\Language or parsing the outputs of Windows API functions GetUserDefaultUILanguage, GetSystemDefaultUILanguage, GetKeyboardLayoutList and GetUserDefaultLangID.(Citation: Darkside Ransomware Cybereason)(Citation: Securelist JSWorm)(Citation: SecureList SynAck Doppelganging May 2018)

On a macOS or Linux system, adversaries may query locale to retrieve the value of the $LANG environment variable.

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

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