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
02/25/2026

Classe: Backdoor

Os backdoors são projetados para permitir que usuários mal-intencionados controlem remotamente o computador infectado. Em termos de funcionalidade, os Backdoors são semelhantes a muitos sistemas de administração projetados e distribuídos por desenvolvedores de software. Esses tipos de programas mal-intencionados possibilitam fazer qualquer coisa que o autor queira no computador infectado: enviar e receber arquivos, iniciar ou excluir arquivos, exibir mensagens, excluir dados, reinicializar o computador etc. Os programas nessa categoria costumam ser usados a fim de unir um grupo de computadores da vítima e formar uma rede de botnets ou zumbis. Isso dá aos usuários mal-intencionados controle centralizado sobre um exército de computadores infectados que podem ser usados ​​para fins criminosos. Há também um grupo de Backdoors que são capazes de se espalhar através de redes e infectar outros computadores como os Net-Worms. A diferença é que tais Backdoors não se propagam automaticamente (como fazem os Net-Worms), mas apenas com um “comando” especial do usuário mal-intencionado que os controla.

Plataforma: Win32

O Win32 é uma API em sistemas operacionais baseados no Windows NT (Windows XP, Windows 7, etc.) que oferece suporte à execução de aplicativos de 32 bits. Uma das plataformas de programação mais difundidas do mundo.

Família: Backdoor.Win32.Salgorea

No family description

Examples

B564B9B314E63C3831FAC4E427F7E2B8
AE7E945ABAF2EEB5F2335AFB61B92EF0
34D4F72CFAC0D622FB6239D2AB1B1983
D5FB8DD60C386D35F0BA0B23F11CC3A9
EB2B568405FBA6F4B0B995C632558873

Tactics and Techniques: Mitre*

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.
T1070.004
File Deletion
Adversaries may delete files left behind by the actions of their intrusion activity. Malware, tools, or other non-native files dropped or created on a system by an adversary (ex: Ingress Tool Transfer) may leave traces to indicate to what was done within a network and how. Removal of these files can occur during an intrusion, or as part of a post-intrusion process to minimize the adversary's footprint.
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.
T1033
System Owner/User Discovery
Adversaries may attempt to identify the primary user, currently logged in user, set of users that commonly uses a system, or whether a user is actively using the system. They may do this, for example, by retrieving account usernames or by using OS Credential Dumping. The information may be collected in a number of different ways using other Discovery techniques, because user and username details are prevalent throughout a system and include running process ownership, file/directory ownership, session information, and system logs. Adversaries may use the information from System Owner/User 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.
T1518
Software Discovery
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.

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

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