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
02/09/2024

クラス: Trojan-Spy

トロイの木馬 - スパイプログラムは、ユーザーの行動を偵察するために使用されます(キーボードで入力されたデータの追跡、スクリーンショットの作成、実行中のアプリケーションのリストの取得など)。電子メール、FTP、ウェブ(要求内のデータを含む)および他の方法を使用してデータを送信することができる。

プラットフォーム: Win32

Win32は、32ビットアプリケーションの実行をサポートするWindows NTベースのオペレーティングシステム(Windows XP、Windows 7など)上のAPIです。世界で最も広く普及しているプログラミングプラットフォームの1つです。

ファミリー: Trojan-Spy.Win32.KeyLogger

No family description

Examples

F45E7F613D79EE898401CB24C95DBE99
BB9DD43A5619EAB24720A36ACEA71D8E
B4A176658629C85A027B325AD765FFDB
A360F2E6F82CDCA260C2857B085547B4
DF603DAA77021AF5F9BE58F940634270

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.
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.
T1497.002
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)

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

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