Clase: Trojan-Downloader
Los programas clasificados como Trojan-Downloader descargan e instalan nuevas versiones de programas maliciosos, incluidos troyanos y AdWare, en las computadoras de las víctimas. Una vez descargados de Internet, los programas se inician o se incluyen en una lista de programas que se ejecutarán automáticamente cuando se inicie el sistema operativo. La información sobre los nombres y las ubicaciones de los programas que se descargan se encuentran en el código troyano, o se descargan del troyano desde un recurso de Internet (generalmente una página web). Este tipo de programa malicioso se utiliza con frecuencia en la infección inicial de visitantes de sitios web que contienen exploits.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: Trojan-Downloader.Win32.Remus
No family descriptionExamples
F76BA23652EE88410B9A987A91C5551FTactics 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.
T1140
Deobfuscate/Decode Files or Information
Adversaries may use Obfuscated Files or Information to hide artifacts of an intrusion from analysis. They may require separate mechanisms to decode or deobfuscate that information depending on how they intend to use it. Methods for doing that include built-in functionality of malware or by using utilities present on the system.
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.
T1012
Query Registry
Adversaries may interact with the Windows Registry to gather information about the system, configuration, and installed software.
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.
T1614.001
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.
* © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.