Bersek

Category: backdoor · Aliases: Bersek Backdoor · Sample count (EMBER 2018): 0 · Enrichment: curated_sourced · Updated: 2026-08-01
Category: BackdoorSeverity: MEDIUMStatus: Automated SignaturePlatform: WINDOWS_PEStage: Initial Access, ExecutionFirst seen: 2003Motivation: Financial Theft🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows Server 2022
Executive Summary
Bersek is an intricate malware strain primarily characterized by its capabilities as a backdoor and information stealer.

Table of Contents

Overview

Bersek is an intricate malware strain primarily characterized by its capabilities as a backdoor and information stealer. It infiltrates systems typically via social engineering campaigns, malicious email attachments, or drive-by downloads. Once inside, Bersek immediately establishes a hidden presence, often manipulating system services to ensure it runs continuously. The malware is designed to harvest sensitive data, including login credentials, financial information, and personal documents, which it then exfiltrates to attacker-controlled servers. Furthermore, Bersek has the capacity to download and execute secondary payloads, effectively turning the compromised machine into a node for further malicious activities, such as participating in botnets or distributing spam. Its modular nature and use of strong encryption for command and control communications make it a persistent and dangerous threat to enterprise environments.

Known aliases

Threat reports may refer to this family under multiple names:

Family Pedigree & Lineage

Malware authors regularly fork and iterate upon existing codebases. Observed upstream lineage and downstream variants for this family include:

Derived From / Upstream Ancestry: Win32_Bersek_Backdoor_Engine

Known Derivatives & Downstream Variants: Bersek.A · Bersek.Gen · Win32.Bersek

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

Tactical Mitigations

Based on the techniques used by this family, consider the following defensive strategies:

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-AHCAPI Hook DetectionDetectT1056Deploy kernel and userland EDR drivers to monitor SetWindowsHookEx and low-level keyboard hooks.
D3-SEAScript Execution AnalysisDetectT1059Analyze script block syntax and command arguments at runtime to detect malicious automation.
D3-NTINetwork Traffic InspectionDetectT1105Inspect deep packet payloads for anomalous staging binaries and unauthorized egress protocols.
D3-SCMSystem Service Creation MonitoringDetectT1543Alert on Event ID 7045 (A new service was installed in the system) and inspect binary path arguments.

Indicators of Compromise

Public indicators drawn from CISA advisories and vendor reporting. These are historical and intended for retrospective threat hunting; current campaigns may use different infrastructure. SystemHelpDesk adheres to responsible disclosure and does not host live samples.

File hashes (SHA-256, sample)

Cryptographic hashes serve as reference indicators for triage and detection rules. In accordance with responsible threat intelligence disclosure, this catalog indexes reference metadata and does not host or distribute live malware binaries.

Delivery vectors

Persistence mechanisms

SIEM / EDR Ingestion: Need these reference indicators for threat hunting?

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_BERSEK_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Bersek"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "bersek" ascii wide nocase
        $s2 = "bersek backdoor" 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 - Bersek (Backdoor) Execution & Triage
id: de90e7a6-ccb1-5137-a4e3-80d109311a24
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Bersek malware family. Detects proxy execution, reflective DLL loading,
  and remote command injection associated with modular enterprise backdoors.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/bersek
- https://malware-families-catalog.systemhelpdesk.com/defensive/backdoor-rat-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.backdoor
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1056
- attack.t1059
- attack.t1543
- attack.t1105
- attack.t1043
logsource:
  category: process_creation
  product: windows
detection:
  selection_process:
    Image|endswith:
    - \powershell.exe
    - \cmd.exe
    - \rundll32.exe
    - \regsvr32.exe
    CommandLine|contains:
    - DownloadString
    - IEX(
    - '/s /n /u /i:'
    - sc create
    - start-process
  condition: selection_process
falsepositives:
- Legitimate enterprise administrative scripts during approved change windows
- Authorized IT software deployment utilities and backup management agents
level: high

Tier 3 Attribution Fingerprint Rule (High Fidelity)

Deep signature matching distinctive operational fingerprints and payload characteristics.

rule MALWARE_WIN_BERSEK_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Bersek 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 = "bersek" 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 affected endpoints from the network immediately to sever unauthorized command and control communication.
  2. Identify and terminate active Bersek binaries and associated parent-child process chains.
  3. Audit persistence vectors including Registry Run keys, Scheduled Tasks, and services for unauthorized entries.
  4. Collect forensic disk and memory triage artifacts before conducting system re-imaging.

What to Avoid

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

  1. Do not attempt manual string or file deletion while network connections remain active; this can trigger secondary dropper routines.
  2. Avoid restoring from backups without verifying that the backup snapshot predates initial Bersek installation.

References & External Analysis

Frequently Asked Questions

What is Bersek?

Bersek is a sophisticated backdoor trojan designed for information theft and secondary payload delivery.

How does Bersek usually spread?

It spreads primarily through social engineering tactics, such as phishing emails and malicious downloads.

What kind of data does Bersek target?

It targets sensitive information like credentials, banking details, and personal files.

Can Bersek download other malware?

Yes, its modular design allows it to fetch and execute additional malicious payloads from its C2 server.

How does Bersek maintain persistence?

It often manipulates core Windows services to ensure it remains active across reboots.

How do I remove Bersek from Windows?

Manual removal of Bersek 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.

What are the main symptoms of a Bersek infection?

Symptoms of Bersek 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 Backdoors

Want to prevent Bersek and similar threats from compromising your organization? Read our comprehensive defensive guide: Backdoor & RAT Protection for Businesses.

📣 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/bersek.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.