Uniblue

Category: pua · Aliases: PUA:Win32/Uniblue, Program:Win32/Uniblue, PUP.Optional.Uniblue, RegistryBooster · Sample count (EMBER 2018): 74 · Enrichment: curated_sourced · Updated: 2026-10-15
Category: PuaStatus: Automated SignaturePlatform: WINDOWS_PEStage: Execution, PersistenceFirst seen: 2008Actor: Unknown / CybercriminalIndustry: Global / OpportunisticMotivation: Commercial Software Monetization🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows 8.1
Executive Summary
Uniblue (cataloged across security vendors and antimalware engines under detections including PUA:Win32/Uniblue, Program:Win32/Uniblue, and PUP.Optional.Uniblue) represents a family of Potentially Unwanted Applications and system optimizer software suites produced by Uniblue Systems, including RegistryBooster, SpeedUpMyPC, and DriverScanner.

Table of Contents

Overview

Uniblue (cataloged across security vendors and antimalware engines under detections including PUA:Win32/Uniblue, Program:Win32/Uniblue, and PUP.Optional.Uniblue) represents a family of Potentially Unwanted Applications and system optimizer software suites produced by Uniblue Systems, including RegistryBooster, SpeedUpMyPC, and DriverScanner. While marketed as commercial Windows maintenance tools, these programs employ deceptive marketing practices, exaggerated diagnostic scan results, and aggressive scareware prompts designed to convince users that harmless or normal registry entries constitute critical system errors requiring paid software licenses. Uniblue applications frequently install via bundled freeware wrappers, configure persistent autostart services under Windows CurrentVersion\Run, and trigger recurring pop-up alerts. Antivirus vendors classify Uniblue utilities as Potentially Unwanted Applications due to their misleading notifications, invasive bundling distribution mechanisms, and negligible performance benefits.

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: Commercial Registry Cleaner Architectures

Known Derivatives & Downstream Variants: Registrybooster · Speedupmypc · Driverscanner

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-STMScheduled Task Creation AnalysisDetectT1053.005Audit task creation targeting system and hidden service directories; verify task author credentials.
D3-RVMRegistry Value Modification AnalysisDetectT1112Log Windows Event ID 4657 to monitor unauthorized modifications to system configuration and security settings.
D3-FEAFile Execution AnalysisHardenT1204.002Enforce AppLocker and Windows Defender Application Control (WDAC) to block executable launches from temporary and user-writable directories.
D3-RPMRegistry Persistence MonitoringDetectT1547.001Audit and restrict write privileges to user and machine-level Registry Run/RunOnce keys using Endpoint Privilege Management.

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_UNIBLUE_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Uniblue"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "uniblue" ascii wide nocase
        $s2 = "pua:win32/uniblue" ascii wide nocase
        $s3 = "program:win32/uniblue" ascii wide nocase
        $s4 = "pup.optional.uniblue" ascii wide nocase
        $s5 = "registrybooster" 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 - Uniblue (Pua) Execution & Triage
id: 38360c85-8f92-5ace-b637-467e6859a56e
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Uniblue 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/uniblue
- 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.pua
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1566_002
- attack.t1547_001
- attack.t1059_003
- attack.t1082
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_UNIBLUE_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Uniblue 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 = "uniblue" 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. Quarantine the endpoint temporarily to prevent further intrusive pop-ups and unnecessary telemetry collection.
  2. Audit the 'Add/Remove Programs' list and manually uninstall the Uniblue application and any associated bundled software.
  3. Review the Windows Task Scheduler and delete any remaining tasks designed to launch the Uniblue updater or scanner.
  4. Educate the user on the deceptive tactics used by 'registry cleaners' and the risks of downloading bundled freeware.

What to Avoid

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

  1. Do not allow users to purchase or enter credit card information into the application; it reinforces the scareware business model.
  2. Avoid relying solely on the application's built-in uninstaller, as it frequently leaves behind persistent registry keys or scheduled tasks.

References & External Analysis

Frequently Asked Questions

What is PUA:Win32/Uniblue?

Uniblue is a family of potentially unwanted system optimization and registry cleaner applications.

Why do antivirus vendors detect Uniblue RegistryBooster as a PUA?

It exaggerates normal registry entries as severe system problems to frighten users into buying commercial software licenses.

How does Uniblue software typically install on computers?

It is predominantly distributed through third-party freeware downloaders and bundled software setup packages.

What persistent changes are made by Uniblue programs?

They create startup registry keys under CurrentVersion\Run and schedule background maintenance tasks.

How can users completely remove Uniblue applications?

Uninstall the software through Windows Settings Apps, delete residual registry keys, and run an antimalware scan.

How do I remove the Uniblue Pua from Windows?

Manual removal of Uniblue 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 Uniblue a virus or a Pua?

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

What are the main symptoms of a Uniblue infection?

Symptoms of Uniblue 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 Puas

Want to prevent Uniblue and similar threats from compromising your organization? Read our comprehensive defensive guide: Think You've Been Hacked? What To Do First.

📣 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/uniblue.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.