本サービスには一部、Googleの支援により翻訳されたコンテンツが含まれます。Googleは、明示または黙示を問わず、市場性、特定目的への適合性、ならびに非侵害の黙示的保証を含む、翻訳の精度、信頼性、正確性に関連するあらゆる点において保証しません。 Kaspersky Labの本Webサイトは、便宜上、Google Translateを搭載した翻訳ソフトウェアを利用して翻訳されています。正確な翻訳となるよう合理的な努力を払ってはおりますが、自動翻訳の正確性は完全ではなく、翻訳者(人間)による翻訳に代わるものとして意図されているものでもありません。翻訳はKaspersky Labの本Webサイトをご利用の皆様の利便性を図るためのものであり、「翻訳結果をそのまま」ご提供するものです。英語からその他言語への翻訳における精度、信頼性、正確性に関しては、明示または黙示を問わず、いかなる保証もなされません。翻訳ソフトウェアのため、コンテンツの一部(画像、動画、フラッシュ等)は正しく翻訳されない場合があります。
更新日
03/24/2025

クラス: Trojan

ユーザーの活動を電子的に偵察する(キーボード入力の傍受、スクリーンショットの取得、アクティブなアプリケーションのリストの取得など)ために設計された悪質なプログラム。収集された情報は、電子メール、FTP、およびHTTP(リクエストでデータを送信すること)を含むさまざまな手段によってサイバー犯罪者に送信されます。

プラットフォーム: MSIL

Common Intermediate Language(旧称Microsoft Intermediate Language、またはMSIL)は、Microsoftが.NET Framework用に開発した中間言語です。 CILコードは、Microsoft Visual Studio(Visual Basic .NET、Visual C ++、Visual C#など)のすべてのMicrosoft .NETコンパイラによって生成されます。

ファミリー: Trojan.MSIL.BypassUAC

No family description

Examples

3DA93DB88B26C0C2B786062FF0E6BEE9

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.
T1204.002
Malicious File
An adversary may rely upon a user opening a malicious file in order to gain execution. Users may be subjected to social engineering to get them to open a file that will lead to code execution. This user action will typically be observed as follow-on behavior from Spearphishing Attachment. Adversaries may use several types of files that require a user to execute them, including .doc, .pdf, .xls, .rtf, .scr, .exe, .lnk, .pif, and .cpl.
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.
TA0006
Credential Access
The adversary is trying to steal account names and passwords. Credential Access consists of techniques for stealing credentials like account names and passwords. Techniques used to get credentials include keylogging or credential dumping. Using legitimate credentials can give adversaries access to systems, make them harder to detect, and provide the opportunity to create more accounts to help achieve their goals.
T1539
Steal Web Session Cookie
An adversary may steal web application or service session cookies and use them to gain access to web applications or Internet services as an authenticated user without needing credentials. Web applications and services often use session cookies as an authentication token after a user has authenticated to a website.
T1555.003
Credentials from Web Browsers
Adversaries may acquire credentials from web browsers by reading files specific to the target browser. Web browsers commonly save credentials such as website usernames and passwords so that they do not need to be entered manually in the future. Web browsers typically store the credentials in an encrypted format within a credential store; however, methods exist to extract plaintext credentials from web browsers.
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
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.
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.

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

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