ESTE SERVICIO PUEDE CONTENER TRADUCCIONES DE GOOGLE. GOOGLE NIEGA CUALQUIER RESPONSABILIDAD RELACIONADA CON LAS TRADUCCIONES, EXPRESA O IMPLÍCITA, INCLUYENDO CUALQUIER RESPONSABILIDAD ACERCA DE LA PRECISIÓN, LA CONFIABILIDAD Y CUALQUIER RESPONSABILIDAD IMPLÍCITA DE COMERCIABILIDAD, IDONEIDAD PARA UN PROPÓSITO EN PARTICULAR Y DE NO INFRACCIÓN. Por su comodidad, se ha traducido el sitio web de Kaspersky Lab utilizando un software de traducción de Google Translate. Se hicieron unos esfuerzos razonables para proporcionar una traducción precisa; no obstante, las traducciones automáticas no son perfectas y no hay ninguna intención de sustituir el trabajo de los traductores. Se proporcionan estas traducciones como un servicio para los usuarios del sitio web de Kaspersky Lab y se han publicado tal "como es". No hay ninguna garantía, expresa o implícita, acerca de la precisión, la confiabilidad o exactitud de cualquier traducción desde el inglés a cualquier otro idioma. La traducción de algunos contenidos (imágenes, videos, Flash, etc) podrían no ser totalmente fiel debido a las limitaciones del software de traducción.
Update Date
04/26/2025

Clase: Backdoor

Las puertas traseras están diseñadas para dar a los usuarios maliciosos el control remoto de una computadora infectada. En términos de funcionalidad, las puertas traseras son similares a muchos sistemas de administración diseñados y distribuidos por los desarrolladores de software. Estos tipos de programas maliciosos hacen posible hacer todo lo que el autor desee en la computadora infectada: enviar y recibir archivos, iniciar archivos o eliminarlos, mostrar mensajes, eliminar datos, reiniciar la computadora, etc. Los programas de esta categoría se utilizan a menudo para unir un grupo de computadoras de víctimas y formar una red zombi o botnet. Esto le da a los usuarios maliciosos control centralizado sobre un ejército de computadoras infectadas que luego pueden ser utilizadas con fines delictivos. También hay un grupo de puertas traseras que son capaces de propagarse a través de redes e infectar a otras computadoras como Net-Worms. La diferencia es que tales Backdoors no se propagan automáticamente (como Net-Worms), sino solo con un "comando" especial del usuario malintencionado que los controla.

Más información

Plataforma: MSIL

El lenguaje intermedio común (anteriormente conocido como Microsoft Intermediate Language o MSIL) es un lenguaje intermedio desarrollado por Microsoft para .NET Framework. El código CIL es generado por todos los compiladores de Microsoft .NET en Microsoft Visual Studio (Visual Basic .NET, Visual C ++, Visual C # y otros).

Familia: Backdoor.MSIL.Pandora

No family description

Examples

AAF36DDCE733AB4206D3E2E8D3889B2F

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.
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.
T1564.001
Hidden Files and Directories
Adversaries may set files and directories to be hidden to evade detection mechanisms. To prevent normal users from accidentally changing special files on a system, most operating systems have the concept of a ‘hidden’ file. These files don’t show up when a user browses the file system with a GUI or when using normal commands on the command line. Users must explicitly ask to show the hidden files either via a series of Graphical User Interface (GUI) prompts or with command line switches (dir /a for Windows and ls –a for Linux and macOS).
TA0006
Credential Access
The adversary is trying to steal account names and passwords. Credential Access consists of techniques for stealing credentials like account names and passwords. Techniques used to get credentials include keylogging or credential dumping. Using legitimate credentials can give adversaries access to systems, make them harder to detect, and provide the opportunity to create more accounts to help achieve their goals.
T1056.001
Keylogging
Adversaries may log user keystrokes to intercept credentials as the user types them. Keylogging is likely to be used to acquire credentials for new access opportunities when OS Credential Dumping efforts are not effective, and may require an adversary to intercept keystrokes on a system for a substantial period of time before credentials can be successfully captured. In order to increase the likelihood of capturing credentials quickly, an adversary may also perform actions such as clearing browser cookies to force users to reauthenticate to systems.
T1555.003
Credentials from Web Browsers
Adversaries may acquire credentials from web browsers by reading files specific to the target browser. Web browsers commonly save credentials such as website usernames and passwords so that they do not need to be entered manually in the future. Web browsers typically store the credentials in an encrypted format within a credential store; however, methods exist to extract plaintext credentials from web browsers.
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.

Kaspersky Next:
ciberseguridad redefinida
Leer más
Nuevo Kaspersky
¡Su vida digital merece una protección completa!
Leer más
Do you want to save your changes?
Your message has been sent successfully.