Backdoor:Win32/Kolab is a highly sophisticated, persistent trojan engineered to establish a covert backdoor on compromised corporate endpoints, facilitating intense credential theft, data exfiltration, and the silent delivery of secondary payloads.
Understanding Kolab
To the victim, Kolab provides zero visual indicators of compromise. For threat intelligence analysts, Kolab represents a severe, capable RAT (Remote Access Trojan) frequently utilized in targeted espionage and ransomware precursor operations. It is designed to bypass initial security controls, harvest comprehensive system intelligence, and maintain long-term, undetected access to the victim network.
Execution and Evasion Strategies
Kolab is typically delivered via spearphishing campaigns containing weaponized Office documents or dropped as a secondary payload by advanced exploit kits. Upon execution, it utilizes intense packing, encryption, and dynamic API resolution to evade static antivirus signatures. It drops a randomized executable into the %AppData% or %SystemRoot% directories. Persistence is achieved by creating a hidden scheduled task, modifying the Registry Run keys, or installing a malicious Windows Service. Kolab frequently injects its core modules into legitimate system processes (like svchost.exe or explorer.exe) to mask its outbound network traffic.
Indicators of Compromise (IoCs)
Threat hunters should investigate EDR alerts for 'Suspicious Process Injection', 'Service Creation', or 'Anomalous Child Process Spawning'. Network logs will often reveal Kolab reaching out to compromised domains using custom-encrypted HTTP/HTTPS traffic. The presence of unexpected, hidden scheduled tasks designed to execute randomly named binaries in the user's profile is a strong IoC. Memory analysis is absolutely crucial to extract the injected modules and identify the specific C2 infrastructure.
Observed techniques used by this family, mapped to the MITRE ATT&CK framework:
These YARA and Sigma rules are auto-generated based on the family name and aliases. They must be heavily tuned before deployment in a production environment.
rule MALWARE_WIN_KOLAB {
meta:
description = "Detects Kolab (trojan_generic)"
author = "SystemHelpdesk Boilerplate Generator"
date = "2026-07-06"
strings:
$s1 = "kolab" ascii wide nocase
condition:
uint16(0) == 0x5a4d and any of them
}title: Suspicious Kolab Activity
id: 53e4259e4bbec4a006266e3b9a240651
status: experimental
description: Detects generic indicators of the kolab malware family.
logsource:
category: process_creation
product: windows
detection:
selection:
Image|endswith:
- '\cmd.exe'
- '\powershell.exe'
CommandLine|contains:
- "*kolab*"
condition: selection
level: mediumOrdered checklist for responders. Adapt to your environment and engage professional support for active incidents.
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
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Get this profile as JSON: https://jordanricky1604-ship-it.github.io/malware-families-catalog/api/kolab.json
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, Replit, StackBlitz, CodeSandbox, and CodePen.