BU SERVİS, GOOGLE TARAFINDAN SAĞLANAN ÇEVİRİLER İÇEREBİLİR. GOOGLE, HERHANGİ BİR GARANTİ, GÜVENİLİRLİK VE TİCARİ ELVERİŞLİLİK, BELİRLİ BİR AMACA UYGUNLUK VE İHLAL ETMEME GARANTİLERİ DAHİL OLMAK ÜZERE AÇIK VEYA ZIMNİ GARANTİLER DE DAHİL OLMAK ÜZERE, AÇIK VEYA ZIMNİ TÜM GARANTİLERİ REDDEDER. Kaspersky Lab web sitesi, Google Çeviri tarafından desteklenen çeviri yazılımı kullanılarak size kolaylık sağlamak amacıyla tercüme edilmiştir. Doğru bir çeviri sağlamak için makul çabalar sarf edilmiştir, ancak otomatik çeviri mükemmel değildir ve insan çevirmenlerinin yerini alması amaçlanmamıştır. Çeviriler, Kaspersky Lab web sitesinin kullanıcılarına bir hizmet olarak sunulur ve "olduğu gibi" sağlanır. İngilizce'den başka bir dile çevrilmiş herhangi bir çevirinin doğruluğu, güvenilirliği veya doğruluğu konusunda açık ya da zımni hiçbir garanti verilmemektedir. Çeviri yazılımı sınırlamaları nedeniyle bazı içerikler (görüntüler, videolar, Flash vb. Gibi) doğru bir şekilde çevrilemeyebilir.
Güncelleme Tarihi
12/21/2023

Sınıf: Hoax

Bir aldatmaca, bir virüs veya başka bir zararlı kod parçası hakkında sahte bir uyarıdır. Tipik olarak bir aldatmaca, tehlikeli yeni bir virüsün okuyucusunu uyaran ve okuyucunun mesajı ilettiğini ileri süren bir e-posta mesajı biçiminde olur. Aldatmacalar kendilerine zarar vermez, fakat iyi niyetli kullanıcılar tarafından dağıtımı genellikle korku ve belirsizliğe neden olur. Çoğu virüsten koruma yazılımı satıcıları web sitelerinde aldatmaca bilgileri içerir ve uyarı mesajlarını iletmeden önce her zaman kontrol edilmesi önerilir.

Platform: MSIL

Ortak Ara Dil (eski adı Microsoft Orta Düzey Dili veya MSIL), Microsoft'un .NET Framework için geliştirdiği bir ara dildir. CIL kodu, Microsoft Visual Studio'da (Visual Basic .NET, Visual C ++, Visual C # ve diğerleri) tüm Microsoft .NET derleyicileri tarafından oluşturulur.

Aile: Hoax.MSIL.ArchSMS

No family description

Examples

C892FD4CAD2749A96962F0D9A4C174E9
4985859D5372F75369D9124F67D4AE86
39AAF5032B7125FF0FECB63F4BB349BC
FA5F4BA7EEBB303F3C81B4C4E99E4D9D
C13DB9F7C084AFAF8B66FEFF4F9CB7D3

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.
T1083
File and Directory Discovery
Adversaries may enumerate files and directories or may search in specific locations of a host or network share for certain information within a file system. Adversaries may use the information from File and Directory Discovery during automated discovery to shape follow-on behaviors, including whether or not the adversary fully infects the target and/or attempts specific actions.

Many command shell utilities can be used to obtain this information. Examples include dir, tree, ls, find, and locate.(Citation: Windows Commands JPCERT) Custom tools may also be used to gather file and directory information and interact with the Native API. Adversaries may also leverage a Network Device CLI on network devices to gather file and directory information (e.g. dir, show flash, and/or nvram).(Citation: US-CERT-TA18-106A)
T1497.003
Virtualization/Sandbox Evasion: Time Based Evasion
Adversaries may employ various time-based methods to detect and avoid virtualization and analysis environments. This may include enumerating time-based properties, such as uptime or the system clock, as well as the use of timers or other triggers to avoid a virtual machine environment (VME) or sandbox, specifically those that are automated or only operate for a limited amount of time.

Adversaries may employ various time-based evasions, such as delaying malware functionality upon initial execution using programmatic sleep commands or native system scheduling functionality (ex: Scheduled Task/Job). Delays may also be based on waiting for specific victim conditions to be met (ex: system time, events, etc.) or employ scheduled Multi-Stage Channels to avoid analysis and scrutiny.(Citation: Deloitte Environment Awareness)

Benign commands or other operations may also be used to delay malware execution. Loops or otherwise needless repetitions of commands, such as Pings, may be used to delay malware execution and potentially exceed time thresholds of automated analysis environments.(Citation: Revil Independence Day)(Citation: Netskope Nitol) Another variation, commonly referred to as API hammering, involves making various calls to Native API functions in order to delay execution (while also potentially overloading analysis environments with junk data).(Citation: Joe Sec Nymaim)(Citation: Joe Sec Trickbot)

Adversaries may also use time as a metric to detect sandboxes and analysis environments, particularly those that attempt to manipulate time mechanisms to simulate longer elapses of time. For example, an adversary may be able to identify a sandbox accelerating time by sampling and calculating the expected value for an environment's timestamp before and after execution of a sleep function.(Citation: ISACA Malware Tricks)
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)

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

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