Sınıf: Backdoor
Arka kapılar, kötü niyetli kullanıcıların virüslü bir bilgisayar üzerinde uzaktan denetimini sağlamak için tasarlanmıştır. İşlevsel açıdan, Backdoors, yazılım geliştiricileri tarafından tasarlanan ve dağıtılan birçok yönetim sistemine benzer. Bu tür kötü amaçlı programlar, yazarın virüslü bilgisayarda istediği herhangi bir şeyi yapmasını sağlar: dosya gönderme ve alma, dosyaları başlatma veya silme, mesajları görüntüleme, verileri silme, bilgisayarı yeniden başlatma vb. Bu kategorideki programlar sıklıkla kullanılır. Bir grup kurban bilgisayarını birleştirmek ve bir botnet veya zombi ağı oluşturmak için. Bu, kötü niyetli kullanıcılara, daha sonra, suçlu amaçlar için kullanılabilecek bir virüslü bilgisayar ordusu üzerinde merkezi kontrol sağlar. Ağlar üzerinden yayılabilen ve diğer bilgisayarları Net-Worms gibi etkileyebilen bir Back of grubu da var. Aradaki fark, bu Arka Planların otomatik olarak (Net-Solucanlar yaptığı gibi) yayılmamasıdır, ancak onları kontrol eden kötü niyetli kullanıcının özel bir “komutu” üzerinedir.Platform: MSIL
Ortak Ara Dil (eski adı Microsoft Orta Düzey Dili veya MSIL), Microsoft'un .NET Framework için geliştirdiği bir ara dildir. CIL kodu, Microsoft Visual Studio'da (Visual Basic .NET, Visual C ++, Visual C # ve diğerleri) tüm Microsoft .NET derleyicileri tarafından oluşturulur.Aile: Backdoor.MSIL.AsyncRat
No family descriptionExamples
08D19F2468D012CEA01AC7D8909B0031Tactics 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.
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.