Tato služba může obsahovat Google překlady. Společnost Google odmítá veškerou odpovědnost za překlad, doslovný i předpokládaný, včetně veškerých záruk aktuálnosti, spolehlivosti a veškerých záruk předpokládané zobchodovatelnosti, vhodnosti pro daný účel a neporušení práv. Web Kaspersky Lab byl přeložen překládacím softwarem založeným na Google Translate. Bylo vynaloženo přiměřené úsilí, aby byl zajištěn přesný překlad, avšak žádný automatický překlad není dokonalý a není určen k nahrazení lidských překladatelů. Překlady jsou poskytovány jako služba uživatelům webových stránek a jsou poskytovány „tak jak jsou“. Neexistuje žádná záruka jakéhokoliv druhu, na vyjádřený nebo předpokládaný překlad, na přesnost nebo správnost překladů. Některý obsah (například obrázky, videa, Flash atd.) Nemusí být přesně přeložen z důvodu omezení překladového softwaru.
Aktualizováno
03/19/2025

Třída: Backdoor

Zadní stěny jsou navrženy tak, aby poskytovaly škodlivým uživatelům vzdálený přístup k infikovanému počítači. Pokud jde o funkčnost, Backdoors jsou podobné mnoha administrativním systémům navrženým a distribuovaným vývojáři softwaru.

Tyto typy škodlivých programů umožňují dělat cokoliv, co autor chce na napadeném počítači: odesílat a přijímat soubory, spouštět soubory nebo je smazat, zobrazovat zprávy, mazat data, restartovat počítač atd.

Programy v této kategorii se často používají k sjednocení skupiny obětí počítačů a vytvoření sítě botnet nebo zombie. To dává zlomyslným uživatelům centralizovanou kontrolu nad armádou infikovaných počítačů, které pak mohou být použity pro kriminální účely.

Existuje také skupina Backdoors, která je schopna šíření prostřednictvím sítí a infikování jiných počítačů jako Net-Worms. Rozdíl je v tom, že takové Backdoors se nerozšířují automaticky (jak to dělá Net-Worms), ale pouze na speciální "příkaz" od škodlivého uživatele, který je ovládá.

Platfoma: MSIL

Společný středně pokročilý jazyk (dříve známý jako Microsoft Intermediate Language nebo MSIL) je pokročilý jazyk vyvinutý společností Microsoft pro rozhraní .NET Framework. Kód CIL je generován všemi kompilátory Microsoft .NET v aplikaci Microsoft Visual Studio (Visual Basic .NET, Visual C ++, Visual C # a další).

Family: Backdoor.MSIL.Bladabindi

No family description

Examples

C88D89CFE11D7A40E4B38A6628B42FC1

Tactics 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.
T1106
Native API
Adversaries may interact with the native OS application programming interface (API) to execute behaviors. Native APIs provide a controlled means of calling low-level OS services within the kernel, such as those involving hardware/devices, memory, and processes. These native APIs are leveraged by the OS during system boot (when other system components are not yet initialized) as well as carrying out tasks and requests during routine operations.
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.
T1622
Debugger Evasion
Adversaries may employ various means to detect and avoid debuggers. Debuggers are typically used by defenders to trace and/or analyze the execution of potential malware payloads.
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.
T1010
Application Window Discovery
Adversaries may attempt to get a listing of open application windows. Window listings could convey information about how the system is used. For example, information about application windows could be used identify potential data to collect as well as identifying security tooling (Security Software Discovery) to evade.
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.
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.
T1518.001
Security Software Discovery
Adversaries may attempt to get a listing of security software, configurations, defensive tools, and sensors that are installed on a system or in a cloud environment. This may include things such as cloud monitoring agents and anti-virus. Adversaries may use the information from Security 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.
T1622
Debugger Evasion
Adversaries may employ various means to detect and avoid debuggers. Debuggers are typically used by defenders to trace and/or analyze the execution of potential malware payloads.

* © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.

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