Kuluoz

Category: trojan · Aliases: Trojan:Win32/Kuluoz, TrojanDownloader:Win32/Kuluoz, Trojan:Win32/Kuluoz.A, Trojan:Win32/Kuluoz.B, Worm:Win32/Asprox · Sample count (EMBER 2018): 22 · Enrichment: curated_sourced · Updated: 2026-10-15
Category: TrojanStatus: Automated SignaturePlatform: WINDOWS_PEStage: Initial Access, Execution, Persistence, Command And ControlActor: Asprox Botnet SyndicateIndustry: Global / Opportunistic, Logistics & Shipping, Financial Institutions, E-commerceMotivation: Botnet Expansion, Spamming & Secondary Malware Distribution🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows 7
Executive Summary
Kuluoz (identified across antimalware research as Trojan:Win32/Kuluoz, TrojanDownloader:Win32/Kuluoz, and closely associated with the historic Asprox botnet infrastructure) is a modular Windows trojan downloader and spam botnet implant.

Table of Contents

Overview

Kuluoz (identified across antimalware research as Trojan:Win32/Kuluoz, TrojanDownloader:Win32/Kuluoz, and closely associated with the historic Asprox botnet infrastructure) is a modular Windows trojan downloader and spam botnet implant. Active in widespread phishing and malicious spam operations disguised as postal delivery notifications (FedEx, UPS, DHL, USPS) or court summonses, Kuluoz executes an encrypted loader that checks for sandbox environments and debuggers. Upon infection, it configures persistence through startup registry keys (HKCU\Software\Microsoft\Windows\CurrentVersion\Run) and injects malicious code into legitimate processes such as svchost.exe. Kuluoz establishes encrypted C2 communications over HTTP/HTTPS, receiving instructions to send high-volume spam emails, harvest stored credentials, scan for SQL injection vulnerabilities across external websites, and download secondary malware families such as ransomware and banking trojans.

Known aliases

Threat reports may refer to this family under multiple names:

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-PIADProcess Injection Analysis & DetectionDetectT1055Monitor cross-process thread creation (CreateRemoteThread) and asynchronous procedure calls (QueueUserAPC).
D3-PBAProcess Spawn AnalysisDetectT1059.003Inspect command-line arguments and anomalous parent-child relationships spawning from cmd.exe.
D3-WAFWeb Content Filtering & InspectionFilterT1071.001Block newly registered domains (NRDs) and inspect HTTP Host and URI headers for known C2 profiles.
D3-RPMRegistry Persistence MonitoringDetectT1547.001Audit and restrict write privileges to user and machine-level Registry Run/RunOnce keys using Endpoint Privilege Management.
D3-FSFile Sandboxing (Attachment Detonation)IsolateT1566.001Detonate macro-enabled documents, ISOs, and password-protected archives inside an isolated hypervisor.

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_KULUOZ_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Kuluoz"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "kuluoz" ascii wide nocase
        $s2 = "trojan:win32/kuluoz" ascii wide nocase
        $s3 = "trojandownloader:win32/kuluoz" ascii wide nocase
        $s4 = "trojan:win32/kuluoz.a" ascii wide nocase
        $s5 = "trojan:win32/kuluoz.b" ascii wide nocase
        $s6 = "worm:win32/asprox" 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 - Kuluoz (Trojan) Execution & Triage
id: a87913eb-a333-5d17-8275-18665aff4fa5
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Kuluoz malware family. Detects suspicious execution from temporary user
  directories with hidden window flags and background transfer utilities.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/kuluoz
- https://malware-families-catalog.systemhelpdesk.com/defensive/downloader-dropper-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.trojan
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1566_001
- attack.t1059_003
- attack.t1055
- attack.t1547_001
- attack.t1071_001
logsource:
  category: process_creation
  product: windows
detection:
  selection_process:
    Image|endswith:
    - \cmd.exe
    - \powershell.exe
    - \cscript.exe
    - \wscript.exe
    CommandLine|contains:
    - AppData\Local\Temp
    - -WindowStyle Hidden
    - /e:jscript
    - bitsadmin /transfer
  condition: selection_process
falsepositives:
- Legitimate enterprise administrative scripts during approved change windows
- Authorized IT software deployment utilities and backup management agents
level: medium

Tier 3 Attribution Fingerprint Rule (High Fidelity)

Deep signature matching distinctive operational fingerprints and payload characteristics.

rule MALWARE_WIN_KULUOZ_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Kuluoz 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 = "kuluoz" 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 infected host from the enterprise network immediately to stop spam distribution and payload downloads.
  2. Kill injected system processes and delete staged executable droppers in %TEMP% and %APPDATA%.
  3. Remove Run registry values under HKCU\Software\Microsoft\Windows\CurrentVersion\Run.
  4. Block identified C2 IP addresses, domains, and outbound SMTP traffic from unauthorized endpoints.
  5. Conduct full antimalware scanning to detect and eliminate secondary payloads dropped by Kuluoz.

What to Avoid

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

  1. Do not allow infected systems to send outbound SMTP or HTTP traffic.
  2. Do not assume removing the primary loader cleans secondary injected modules.

References & External Analysis

Frequently Asked Questions

What is Trojan:Win32/Kuluoz?

Kuluoz is a modular trojan downloader and botnet implant linked to Asprox, used for mass spam distribution and malware delivery.

How does Kuluoz propagate to victim endpoints?

It spreads via spam emails masquerading as shipping notifications from postal carriers like FedEx, UPS, or DHL.

What payloads are distributed by Kuluoz?

Kuluoz delivers secondary payloads including banking trojans, ransomware, credential stealers, and spam modules.

How does Kuluoz maintain persistence on systems?

It writes auto-start entries under HKCU\Software\Microsoft\Windows\CurrentVersion\Run and injects code into system processes like svchost.exe.

What remediation steps are effective against Kuluoz?

Isolate the host, terminate injected processes, remove startup registry keys, block C2 domains, and perform an enterprise antimalware scan.

How do I remove the Kuluoz Trojan from Windows?

Manual removal of Kuluoz 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 Kuluoz a virus or a Trojan?

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

What are the main symptoms of a Kuluoz infection?

Symptoms of Kuluoz 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 Trojans

Want to prevent Kuluoz and similar threats from compromising your organization? Read our comprehensive defensive guide: Banking Trojan 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 Threat Intelligence Team.

Machine-readable

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