Zs0Bbeypkrh

Category: ransomware · Aliases: None known · Sample count (EMBER 2018): 1 · Enrichment: expert-seo · Updated: 2026-06-09
Category: RansomwareStatus: Automated SignaturePlatform: WINDOWS_PEStage: Defense Evasion, ImpactActor: Unknown / CybercriminalIndustry: Healthcare, Critical Infrastructure, EnterpriseMotivation: Financial Extortion🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows Server 2022
Executive Summary
Trojan:Win32/Zs0bbeypkrh (or similar auto-generated strings) represents the antivirus industry's response to highly polymorphic malware or Domain Generation Algorithms (DGA).

Table of Contents

Overview

Trojan:Win32/Zs0bbeypkrh (or similar auto-generated strings) represents the antivirus industry's response to highly polymorphic malware or Domain Generation Algorithms (DGA). Instead of a named family, this string is a generic, randomized identifier assigned by an AV engine to a threat that is rapidly shifting its signature to evade detection (`T1027`). This indicates the presence of a sophisticated dropper or a botnet agent actively communicating with shifting C2 infrastructure.

Understanding Polymorphic/DGA Identifiers
To an end-user, the file is simply blocked. For a SOC analyst, a detection with a randomized name like 'Zs0bbeypkrh' is a signal that static IOCs (like file hashes) will be nearly useless for hunting. The attacker is using automated tools to recompile the malware for every victim, or using DGA to contact thousands of different domains a day.

Execution and Polymorphic Mechanics
When executed, polymorphic threats unpack themselves dynamically in memory (`T1027.002`). They often inject their code into legitimate processes (like `svchost.exe`) (`T1055`) to hide their activity. If the threat utilizes DGA (`T1568.002`), it uses a mathematical algorithm to generate hundreds of potential C2 domain names (e.g., `ajkf83nd.com`, `93kmdla.net`). The malware attempts to connect to these domains until it finds one that the attacker has actually registered and activated for that day's operations, making IP/Domain blacklisting highly ineffective.

Indicators of Compromise & Impact
The impact depends entirely on the payload the polymorphic dropper intends to deliver (ransomware, infostealers, etc.). Host-based IoCs must focus on behavior: EDR alerts for process injection, anomalous child process spawning, or rapid creation/deletion of temporary files. Network IoCs are characterized by the malware generating a massive volume of DNS requests for non-existent, randomly generated domains (NXDOMAIN responses), mixed with a few successful connections.

MITRE ATT&CK Techniques

Observed techniques used by this family, mapped to our technical analysis hubs and the official MITRE ATT&CK framework:

→ Explore the complete 226-Technique ATT&CK Threat Matrix

MITRE D3FEND™ Defensive Countermeasures

Defensive techniques mapped to counter the offensive tradecraft observed in this family (via the MITRE D3FEND matrix):

D3FEND IDCountermeasure NameTacticCountered ATT&CKDefensive Guidance
D3-BDABinary De-obfuscation & UnpackingAnalyzeT1027Utilize memory dump scanners and entropy inspection to unpack encrypted stagers during process creation.
D3-PIADProcess Injection Analysis & DetectionDetectT1055Monitor cross-process thread creation (CreateRemoteThread) and asynchronous procedure calls (QueueUserAPC).
D3-DNSRDNS Reputation AnalysisDetectT1568.002Deploy recursive DNS security resolvers with algorithmic domain scoring (entropy and n-gram models) to automatically sinkhole DGA queries.

Tiered Detection Rules (Cisco CAIRN Model)

Modern threat detection requires multi-layered rule engineering. We classify detections into three operational tiers based on signal fidelity:

Tier 1 Primitive Artifact Rule (Fast Triage)

Matches raw strings and file markers. Vulnerable to binary repacking and simple obfuscation.

rule MALWARE_WIN_ZS0BBEYPKRH_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Zs0Bbeypkrh"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "zs0bbeypkrh" ascii wide nocase
    condition:
        uint16(0) == 0x5a4d and any of them
}

Tier 2 Behavioral Context Rule (Process Chains & Sigma)

Tracks parent-child process anomalies and suspicious scripting telemetry. Resilient against file renames.

title: SystemHelpDesk Detection - Zs0bbeypkrh (Ransomware) Execution & Triage
id: 30cd2cc3-87aa-5785-80aa-66a7c06512c8
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Zs0bbeypkrh malware family. Detects volume shadow copy deletion, boot status
  tampering, and recovery inhibition characteristic of modern ransomware operations.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/zs0bbeypkrh
- https://malware-families-catalog.systemhelpdesk.com/defensive/ransomware-protection
- https://malware-families-catalog.systemhelpdesk.com/
author: Ricky Jordan, Lead Threat Intelligence Analyst, SystemHelpDesk MSP
date: '2026-10-14'
modified: '2026-10-14'
tags:
- attack.ransomware
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1055
- attack.t1027
- attack.t1568_002
logsource:
  category: process_creation
  product: windows
detection:
  selection_process:
    Image|endswith:
    - \vssadmin.exe
    - \wmic.exe
    - \wbadmin.exe
    - \bcdedit.exe
    CommandLine|contains:
    - delete shadows
    - shadowcopy delete
    - resize shadowstorage
    - recoveryenabled no
    - ignoreallfailures
  condition: selection_process
falsepositives:
- Legitimate enterprise administrative scripts during approved change windows
- Authorized IT software deployment utilities and backup management agents
level: critical

Tier 3 Attribution Fingerprint Rule (High Fidelity)

Deep signature matching distinctive operational fingerprints and payload characteristics.

rule MALWARE_WIN_ZS0BBEYPKRH_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Zs0Bbeypkrh tradecraft"
        tier = "T3 - Attribution Fingerprint"
        confidence = "High (Confirmed Family Signature)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        // Core family identifier & heuristic payload signatures
        $attrib_str = "zs0bbeypkrh" ascii wide nocase
        $pe_magic = "MZ" ascii
        $net_marker = "http" ascii nocase
    condition:
        uint16(0) == 0x5a4d and ($attrib_str and $net_marker) and filesize < 15MB
}
SOC & SIEM Rule Downloads: ⬇ Download YARA Rule (.yar) ⬇ Download Sigma Rule (YAML) ⬇ Download Sigma Rule (JSON) ⚙ Threat Profile API (JSON)

Containment & Response Steps

Home Users: If you suspect a malware infection on your personal device, disconnect from the internet immediately and run a full system scan with your antivirus software (see our TotalAV Antivirus & Security Support Guide). The steps below are intended for IT professionals responding to enterprise incidents.

Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.

  1. Isolate the endpoint immediately; polymorphic droppers are typically the first stage of a much larger attack sequence.
  2. Rely on EDR behavioral rules (e.g., blocking suspicious process injections) rather than relying on the AV signature that caught this specific variant.
  3. Analyze DNS logs for the infected host to identify the algorithm used by the DGA, and block the successful connections.
  4. Submit the memory dump or the quarantined file to a dynamic sandbox to identify the *actual* payload it was attempting to deploy.

What to Avoid

Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.

  1. Do not waste time searching the enterprise for the specific file hash associated with 'Zs0bbeypkrh'; it is likely unique to that single machine.
  2. Avoid trying to manually block every domain generated by a DGA; the attacker can generate them faster than you can block them.

References & External Analysis

Frequently Asked Questions

What is Zs0Bbeypkrh and what threat category does it belong to?

Zs0Bbeypkrh is classified as a Ransomware. Documented across security telemetry, it is engineered to execute unauthorized operations, establish persistent footholds on target endpoints, and facilitate malicious campaigns targeting enterprise and individual environments.

How does Zs0Bbeypkrh establish persistence and evade defensive controls?

Zs0Bbeypkrh typically establishes persistence through registry run keys, scheduled tasks, or service installations, while evading signature-based antivirus solutions through code obfuscation, memory injection, or anti-analysis sandbox checks.

What are the essential incident response steps for mitigating a Zs0Bbeypkrh compromise?

Security teams responding to Zs0Bbeypkrh should immediately isolate affected endpoints from the network, perform memory triage to capture volatile forensic artifacts, audit registry and startup persistence mechanisms, revoke exposed user credentials, and restore systems from verified, clean backups.

What cryptographic algorithms and file targeting techniques does Zs0Bbeypkrh employ during execution?

Zs0Bbeypkrh typically leverages hybrid cryptographic architectures combining symmetric stream or block ciphers (such as AES-256 or ChaCha20) for rapid file encryption with asymmetric algorithms (such as RSA-2048 or Curve25519) to securely protect the session keys. It aggressively targets sensitive file extensions including corporate documents, databases, virtual disks, and backups while systematically executing commands to delete Volume Shadow Copies (vssadmin delete shadows /all /quiet) and disable system recovery options.

Are decryptors available for Zs0Bbeypkrh, and what is the recommended recovery procedure?

Decryption availability for Zs0Bbeypkrh depends on whether security researchers or law enforcement (such as the No More Ransom initiative) have recovered the master private keys or discovered flaws in its key generation routines. Victims should never pay the extortion demand, as payment fuels criminal operations without guaranteeing file restoration. The recommended recovery procedure entails isolating infected hosts, conducting forensic disk imaging, identifying the root access vector, and restoring validated systems from immutable offline backups.

How do I remove the Zs0Bbeypkrh Ransomware from Windows?

Manual removal of Zs0Bbeypkrh is highly discouraged as it may leave persistence mechanisms intact. We recommend disconnecting the device from the internet and utilizing a professional incident response service or enterprise-grade EDR software to conduct a full forensic sweep.

Is Zs0Bbeypkrh a virus or a Ransomware?

Zs0Bbeypkrh is classified as a Ransomware. Unlike traditional viruses that infect files, modern malware like Zs0Bbeypkrh typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.

What are the main symptoms of a Zs0Bbeypkrh infection?

Symptoms of Zs0Bbeypkrh can include unexpected system slowness, unauthorized outbound network traffic to unknown IP addresses, disabled security software, and suspicious background processes running from AppData or Temp directories.

Protect Your Network Against Ransomwares

Want to prevent Zs0Bbeypkrh and similar threats from compromising your organization? Read our comprehensive defensive guide: Ransomware Containment & Incident Response.

📣 Threat Intel Correction or Update?

Notice an outdated IOC, unlisted alias, or disputed attribution? Threat researchers are invited to propose an update on GitHub or contact the SystemHelpDesk research desk. All community revisions are credited in our public CHANGELOG.

Need help with an active incident? Published by the SystemHelpdesk team.

Machine-readable

Get this profile as JSON: https://malware-families-catalog.systemhelpdesk.com/api/zs0bbeypkrh.json

Ecosystem & Interactive Environments

This profile is part of the Malware Families Catalog, a public dataset of 2,899 malware families. The catalog is also published across our ecosystem: Hugging Face, Kaggle, Zenodo, Replit, StackBlitz, CodeSandbox, and CodePen.