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
02/06/2024

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: Win32

Win32 je rozhraní API v operačních systémech Windows NT (Windows XP, Windows 7 atd.), Které podporují provádění 32bitových aplikací. Jedna z nejrozšířenějších programovacích platforem na světě.

Family: Backdoor.Win32.WOC

No family description

Examples

1706FDF65CEF436B46A82B4B41B2FE8C
351DAADBEEF181A5EA0E5003CF93389E
48B3C5B9867839500E3A394CD7408807
2D729A48CA22259AA80A9FEB33188C09
94811FAD28BE0DC92B8A835DBC243101

Tactics 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.
T1036.005
Masquerading: Match Legitimate Name or Location
Adversaries may match or approximate the name or location of legitimate files or resources when naming/placing them. This is done for the sake of evading defenses and observation. This may be done by placing an executable in a commonly trusted directory (ex: under System32) or giving it the name of a legitimate, trusted program (ex: svchost.exe). In containerized environments, this may also be done by creating a resource in a namespace that matches the naming convention of a container pod or cluster. Alternatively, a file or container image name given may be a close approximation to legitimate programs/images or something innocuous.

Adversaries may also use the same icon of the file they are trying to mimic.
T1497.001
Virtualization/Sandbox Evasion: 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.(Citation: Deloitte Environment Awareness)

Specific checks will vary based on the target and/or adversary, but may involve behaviors such as Windows Management Instrumentation, PowerShell, System Information Discovery, and Query Registry to obtain system information and search for VME artifacts. Adversaries may search for VME artifacts in memory, processes, file system, hardware, and/or the Registry. Adversaries may use scripting to automate these checks into one script and then have the program exit if it determines the system to be a virtual environment.

Checks could include generic system properties such as host/domain name and samples of network traffic. Adversaries may also check the network adapters addresses, CPU core count, and available memory/drive size.

Other common checks may enumerate services running that are unique to these applications, installed programs on the system, manufacturer/product fields for strings relating to virtual machine applications, and VME-specific hardware/processor instructions.(Citation: McAfee Virtual Jan 2017) In applications like VMWare, adversaries can also use a special I/O port to send commands and receive output.

Hardware checks, such as the presence of the fan, temperature, and audio devices, could also be used to gather evidence that can be indicative a virtual environment. Adversaries may also query for specific readings from these devices.(Citation: Unit 42 OilRig Sept 2018)
T1497.002
Virtualization/Sandbox Evasion: User Activity Based Checks
Adversaries may employ various user activity 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.(Citation: Deloitte Environment Awareness)

Adversaries may search for user activity on the host based on variables such as the speed/frequency of mouse movements and clicks (Citation: Sans Virtual Jan 2016) , browser history, cache, bookmarks, or number of files in common directories such as home or the desktop. Other methods may rely on specific user interaction with the system before the malicious code is activated, such as waiting for a document to close before activating a macro (Citation: Unit 42 Sofacy Nov 2018) or waiting for a user to double click on an embedded image to activate.(Citation: FireEye FIN7 April 2017)
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
Virtualization/Sandbox Evasion: 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.(Citation: Deloitte Environment Awareness)

Specific checks will vary based on the target and/or adversary, but may involve behaviors such as Windows Management Instrumentation, PowerShell, System Information Discovery, and Query Registry to obtain system information and search for VME artifacts. Adversaries may search for VME artifacts in memory, processes, file system, hardware, and/or the Registry. Adversaries may use scripting to automate these checks into one script and then have the program exit if it determines the system to be a virtual environment.

Checks could include generic system properties such as host/domain name and samples of network traffic. Adversaries may also check the network adapters addresses, CPU core count, and available memory/drive size.

Other common checks may enumerate services running that are unique to these applications, installed programs on the system, manufacturer/product fields for strings relating to virtual machine applications, and VME-specific hardware/processor instructions.(Citation: McAfee Virtual Jan 2017) In applications like VMWare, adversaries can also use a special I/O port to send commands and receive output.

Hardware checks, such as the presence of the fan, temperature, and audio devices, could also be used to gather evidence that can be indicative a virtual environment. Adversaries may also query for specific readings from these devices.(Citation: Unit 42 OilRig Sept 2018)
T1497.002
Virtualization/Sandbox Evasion: User Activity Based Checks
Adversaries may employ various user activity 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.(Citation: Deloitte Environment Awareness)

Adversaries may search for user activity on the host based on variables such as the speed/frequency of mouse movements and clicks (Citation: Sans Virtual Jan 2016) , browser history, cache, bookmarks, or number of files in common directories such as home or the desktop. Other methods may rely on specific user interaction with the system before the malicious code is activated, such as waiting for a document to close before activating a macro (Citation: Unit 42 Sofacy Nov 2018) or waiting for a user to double click on an embedded image to activate.(Citation: FireEye FIN7 April 2017)
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.

Adversaries may attempt to enumerate software for a variety of reasons, such as figuring out what security measures are present or if the compromised system has a version of software that is vulnerable to Exploitation for Privilege Escalation.

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

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