Kategorie: Trojan-Downloader
Als Trojan-Downloader klassifizierte Programme laden neue Versionen von Schadprogrammen, einschließlich Trojanern und AdWare, auf die Opfercomputer herunter und installieren sie. Nach dem Herunterladen aus dem Internet werden die Programme gestartet oder in eine Liste von Programmen aufgenommen, die beim Hochfahren des Betriebssystems automatisch ausgeführt werden.Informationen über die Namen und Standorte der heruntergeladenen Programme befinden sich im Trojaner-Code oder werden vom Trojaner aus einer Internet-Ressource (normalerweise einer Webseite) heruntergeladen.
Diese Art von bösartigem Programm wird häufig bei der Erstinfektion von Besuchern von Websites verwendet, die Exploits enthalten.
Mehr Informationen
Plattform: Win32
Win32 ist eine API auf Windows NT-basierten Betriebssystemen (Windows XP, Windows 7 usw.), die die Ausführung von 32-Bit-Anwendungen unterstützt. Eine der am weitesten verbreiteten Programmierplattformen der Welt.Familie: 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.