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
01/18/2024

クラス: Worm

ワームは、ネットワークリソースを介してコンピュータネットワーク上に広まります。 Net-Wormとは異なり、ユーザーはワームを起動して起動する必要があります。この種のワームは、リモートのコンピュータネットワークを検索し、読み書き可能なディレクトリに自身をコピーします(見つかった場合)。さらに、これらのワームは、内蔵のオペレーティングシステム機能を使用して、アクセス可能なネットワークディレクトリを検索したり、インターネット上のコンピュータをランダムに検索したり、それらに接続したり、これらのコンピュータのディスクに完全にアクセスしようとします。また、このカテゴリには、1つまたは複数の理由で、上記で定義した他のカテゴリ(モバイルデバイス用のワームなど)に適合しないワームも含まれます。

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: Worm.Win32.Febipos

No family description

Examples

48800AD1BB00124F6730145589735805
6B6572FDFE855B6AD66ADF3734B21908
EF7685329BD1297CCC76C6F75EDF7A84
E634D2EC0C193D98D1568C5BDD0C5187
ABBF2D3D3B342856042882E27D328AA9

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.
T1012
Query Registry
Adversaries may interact with the Windows Registry to gather information about the system, configuration, and installed software.

The Registry contains a significant amount of information about the operating system, configuration, software, and security.(Citation: Wikipedia Windows Registry) Information can easily be queried using the Reg utility, though other means to access the Registry exist. Some of the information may help adversaries to further their operation within a network. Adversaries may use the information from Query Registry during automated discovery to shape follow-on behaviors, including whether or not the adversary fully infects the target and/or attempts specific actions.
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)
T1614.001
System Location Discovery: System Language Discovery
Adversaries may attempt to gather information about the system language of a victim in order to infer the geographical location of that host. This information may be used to shape follow-on behaviors, including whether the adversary infects the target and/or attempts specific actions. This decision may be employed by malware developers and operators to reduce their risk of attracting the attention of specific law enforcement agencies or prosecution/scrutiny from other entities.(Citation: Malware System Language Check)

There are various sources of data an adversary could use to infer system language, such as system defaults and keyboard layouts. Specific checks will vary based on the target and/or adversary, but may involve behaviors such as Query Registry and calls to Native API functions.(Citation: CrowdStrike Ryuk January 2019)

For example, on a Windows system adversaries may attempt to infer the language of a system by querying the registry key HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\Nls\Language or parsing the outputs of Windows API functions GetUserDefaultUILanguage, GetSystemDefaultUILanguage, GetKeyboardLayoutList and GetUserDefaultLangID.(Citation: Darkside Ransomware Cybereason)(Citation: Securelist JSWorm)(Citation: SecureList SynAck Doppelganging May 2018)

On a macOS or Linux system, adversaries may query locale to retrieve the value of the $LANG environment variable.

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

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