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
10/18/2024

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: 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.Win32.Penguish

No family description

Examples

E93D52C8AD70210F4CF2CCFA3E2EF49E

Tactics and Techniques: Mitre*

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.
T1518.001
Software Discovery: 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 firewall rules 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.

Example commands that can be used to obtain security software information are netsh, reg query with Reg, dir with cmd, and Tasklist, but other indicators of discovery behavior may be more specific to the type of software or security system the adversary is looking for. It is becoming more common to see macOS malware perform checks for LittleSnitch and KnockKnock software.

Adversaries may also utilize cloud APIs to discover the configurations of firewall rules within an environment.(Citation: Expel IO Evil in AWS) For example, the permitted IP ranges, ports or user accounts for the inbound/outbound rules of security groups, virtual firewalls established within AWS for EC2 and/or VPC instances, can be revealed by the DescribeSecurityGroups action with various request parameters. (Citation: DescribeSecurityGroups - Amazon Elastic Compute Cloud)
TA0011
Command and Control
The adversary is trying to communicate with compromised systems to control them.

Command and Control consists of techniques that adversaries may use to communicate with systems under their control within a victim network. Adversaries commonly attempt to mimic normal, expected traffic to avoid detection. There are many ways an adversary can establish command and control with various levels of stealth depending on the victim’s network structure and defenses.
T1071.001
Application Layer Protocol: Web Protocols
Adversaries may communicate using application layer protocols associated with web traffic to avoid detection/network filtering by blending in with existing traffic. Commands to the remote system, and often the results of those commands, will be embedded within the protocol traffic between the client and server.

Protocols such as HTTP/S(Citation: CrowdStrike Putter Panda) and WebSocket(Citation: Brazking-Websockets) that carry web traffic may be very common in environments. HTTP/S packets have many fields and headers in which data can be concealed. An adversary may abuse these protocols to communicate with systems under their control within a victim network while also mimicking normal, expected traffic.

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

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