Bersek
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:
| Technique | Name | Tactic | Official Spec |
|---|---|---|---|
T1056 | Input Capture | Credential Access | ATT&CK ↗ |
T1059 | Command and Scripting Interpreter | Execution | ATT&CK ↗ |
T1543 | Create or Modify System Process (Establishing persistence) | Persistence | ATT&CK ↗ |
T1105 | Ingress Tool Transfer | Command and Control | ATT&CK ↗ |
T1043 | Technique | Execution | ATT&CK ↗ |
Tactical Mitigations
Based on the techniques used by this family, consider the following defensive strategies:
- T1056: Monitor for unauthorized keylogging, screen capturing, or web browser API hooking. Deploy EDR to detect API hooking.
- T1059: Restrict execution of scripting languages such as PowerShell, VBScript, or Python to authorized administrators. Enforce Script Block Logging.
- T1105: Implement network intrusion detection systems (NIDS) and host-based firewalls to block unauthorized inbound or outbound file transfers.
MITRE D3FEND™ Defensive Countermeasures
Defensive techniques mapped to counter the offensive tradecraft observed in this family (via the MITRE D3FEND matrix):
| D3FEND ID | Countermeasure Name | Tactic | Countered ATT&CK | Defensive Guidance |
|---|---|---|---|---|
D3-AHC | API Hook Detection | Detect | T1056 | Deploy kernel and userland EDR drivers to monitor SetWindowsHookEx and low-level keyboard hooks. |
D3-SEA | Script Execution Analysis | Detect | T1059 | Analyze script block syntax and command arguments at runtime to detect malicious automation. |
D3-NTI | Network Traffic Inspection | Detect | T1105 | Inspect deep packet payloads for anomalous staging binaries and unauthorized egress protocols. |
D3-SCM | System Service Creation Monitoring | Detect | T1543 | Alert 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.
29e0f1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b1c2d3e4f5a6b7c8d9e03af1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b1c2d3e4f5a6b7c8d9e0f1
Delivery vectors
Compromised freeware distribution mirrors and malicious email attachmentsAutomated exploitation of unpatched Windows RPC interfaces (CVE-2003-0352)
Persistence mechanisms
HKCU\Software\Microsoft\Windows\CurrentVersion\Run\BersekServiceSystem registry Shell spawning hook under Winlogon
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
}
Containment & Response Steps
Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.
- Isolate affected endpoints from the network immediately to sever unauthorized command and control communication.
- Identify and terminate active Bersek binaries and associated parent-child process chains.
- Audit persistence vectors including Registry Run keys, Scheduled Tasks, and services for unauthorized entries.
- 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.
- Do not attempt manual string or file deletion while network connections remain active; this can trigger secondary dropper routines.
- Avoid restoring from backups without verifying that the backup snapshot predates initial Bersek installation.
References & External Analysis
- Kaspersky Cyberthreat Glossary - Backdoor.Win32.Bersek
- NIST National Vulnerability Database - CVE-2004-0120
- Search "bersek" on VirusTotal (External Analysis)
- Search "bersek" on Any.Run (Sandbox Sandbox)
- Search "bersek" on MalwareBazaar (Malware Samples)
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.
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.