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: Win32
Win32 es una API en sistemas operativos basados en Windows NT (Windows XP, Windows 7, etc.) que admite la ejecución de aplicaciones de 32 bits. Una de las plataformas de programación más extendidas en el mundo.Familia: Backdoor.Win32.Zegost
No family descriptionExamples
DB181FB18EA920FB38B5E49ACB9A2F4FTactics and Techniques: 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.
T1203
Exploitation for Client Execution
Adversaries may exploit software vulnerabilities in client applications to execute code. Vulnerabilities can exist in software due to unsecure coding practices that can lead to unanticipated behavior. Adversaries can take advantage of certain vulnerabilities through targeted exploitation for the purpose of arbitrary code execution. Oftentimes the most valuable exploits to an offensive toolkit are those that can be used to obtain code execution on a remote system because they can be used to gain access to that system. Users will expect to see files related to the applications they commonly used to do work, so they are a useful target for exploit research and development because of their high utility.
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.
T1497.003
Time Based Evasion
Adversaries may employ various time-based methods to detect and avoid virtualization and analysis environments. This may include enumerating time-based properties, such as uptime or the system clock, as well as the use of timers or other triggers to avoid a virtual machine environment (VME) or sandbox, specifically those that are automated or only operate for a limited amount of time.
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.
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.
T1497.003
Time Based Evasion
Adversaries may employ various time-based methods to detect and avoid virtualization and analysis environments. This may include enumerating time-based properties, such as uptime or the system clock, as well as the use of timers or other triggers to avoid a virtual machine environment (VME) or sandbox, specifically those that are automated or only operate for a limited amount of time.
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.