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
01/24/2024

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.Shiz

No family description

Examples

D26F585F67E8C724009D07681338101D
C9FB90FC2BDCBB64A32AD94AD1DEDE1E
FBF452389F74084E70E6BC9F5EEF42FF
1026D10B1A76244C1CFE01CD6F64AEB2
9368151201AB09055168D4A0506DE405

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.
T1203
Exploitation for Client Execution
Adversaries may exploit software vulnerabilities in client applications to execute code. Vulnerabilities can exist in software due to unsecure coding practices that can lead to unanticipated behavior. Adversaries can take advantage of certain vulnerabilities through targeted exploitation for the purpose of arbitrary code execution. Oftentimes the most valuable exploits to an offensive toolkit are those that can be used to obtain code execution on a remote system because they can be used to gain access to that system. Users will expect to see files related to the applications they commonly used to do work, so they are a useful target for exploit research and development because of their high utility.

Several types exist:

### Browser-based Exploitation

Web browsers are a common target through Drive-by Compromise and Spearphishing Link. Endpoint systems may be compromised through normal web browsing or from certain users being targeted by links in spearphishing emails to adversary controlled sites used to exploit the web browser. These often do not require an action by the user for the exploit to be executed.

### Office Applications

Common office and productivity applications such as Microsoft Office are also targeted through Phishing. Malicious files will be transmitted directly as attachments or through links to download them. These require the user to open the document or file for the exploit to run.

### Common Third-party Applications

Other applications that are commonly seen or are part of the software deployed in a target network may also be used for exploitation. Applications such as Adobe Reader and Flash, which are common in enterprise environments, have been routinely targeted by adversaries attempting to gain access to systems. Depending on the software and nature of the vulnerability, some may be exploited in the browser or require the user to open a file. For instance, some Flash exploits have been delivered as objects within Microsoft Office documents.
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
Masquerading
Adversaries may attempt to manipulate features of their artifacts to make them appear legitimate or benign to users and/or security tools. Masquerading occurs when the name or location of an object, legitimate or malicious, is manipulated or abused for the sake of evading defenses and observation. This may include manipulating file metadata, tricking users into misidentifying the file type, and giving legitimate task or service names.

Renaming abusable system utilities to evade security monitoring is also a form of Masquerading.(Citation: LOLBAS Main Site) Masquerading may also include the use of Proxy or VPNs to disguise IP addresses, which can allow adversaries to blend in with normal network traffic and bypass conditional access policies or anti-abuse protections.
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
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.
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.
TA0009
Collection
The adversary is trying to gather data of interest to their goal.

Collection consists of techniques adversaries may use to gather information and the sources information is collected from that are relevant to following through on the adversary's objectives. Frequently, the next goal after collecting data is to steal (exfiltrate) the data. Common target sources include various drive types, browsers, audio, video, and email. Common collection methods include capturing screenshots and keyboard input.
T1119
Automated Collection
Once established within a system or network, an adversary may use automated techniques for collecting internal data. Methods for performing this technique could include use of a Command and Scripting Interpreter to search for and copy information fitting set criteria such as file type, location, or name at specific time intervals. In cloud-based environments, adversaries may also use cloud APIs, command line interfaces, or extract, transform, and load (ETL) services to automatically collect data. This functionality could also be built into remote access tools.

This technique may incorporate use of other techniques such as File and Directory Discovery and Lateral Tool Transfer to identify and move files, as well as Cloud Service Dashboard and Cloud Storage Object Discovery to identify resources in cloud environments.

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

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