Urelas

Category: infostealer · Aliases: Urelas, Trojan:Win32/Urelas, Trojan.Urelas, Win32/Urelas, Infostealer.Urelas, Trojan.Win32.Urelas · Sample count (EMBER 2018): 666 · Enrichment: curated_sourced · Updated: 2026-10-14
Category: InfostealerStatus: Automated SignaturePlatform: WINDOWS, X86Stage: Initial-Access, Execution, Persistence, Credential-Access, Collection, ExfiltrationFirst seen: 2013Actor: Underground Cybercrime ActorsIndustry: gaming, e_commerce, consumers, small_business, technologyMotivation: Credential Harvesting, Account Takeover & Dark Web Asset Monetization🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows Server 2022
Executive Summary
Trojan:Win32/Urelas is a specialized information stealer and credential extraction trojan engineered to harvest authentication credentials, session cookies, and stored account databases across web browsers, email clients, and online gaming and e-commerce platforms.

Table of Contents

Overview

Trojan:Win32/Urelas is a specialized information stealer and credential extraction trojan engineered to harvest authentication credentials, session cookies, and stored account databases across web browsers, email clients, and online gaming and e-commerce platforms. Disguised frequently as software key generators, game modifications, or media converters distributed over peer-to-peer (P2P) file networks and forums, Urelas installs silent keyboard hooks to capture typed login details in real time. It scans local drives for SQLite credential caches and wallet configurations, compresses harvested surveillance data into encrypted archive packets, and exfiltrates them to attacker command nodes via HTTP POST beacons while occasionally downloading secondary monetization modules.

Known aliases

Threat reports may refer to this family under multiple names:

Threat Actor Attribution

Attribution is probabilistic, not a science. Each link below states its confidence level and the evidence behind it.

→ Explore all Threat Actor & APT Campaign Profiles

Family Pedigree & Lineage

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

Known Derivatives & Downstream Variants: Urelas.A · Urelas Gaming Stealer · Urelas Browser Credential Build

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-MFAMulti-factor AuthenticationHardenT1056.001Enforce FIDO2 / WebAuthn physical tokens to render keystroke-intercepted passwords useless.
D3-WAFWeb Content Filtering & InspectionFilterT1071.001Block newly registered domains (NRDs) and inspect HTTP Host and URI headers for known C2 profiles.
D3-NTINetwork Traffic InspectionDetectT1105Inspect deep packet payloads for anomalous staging binaries and unauthorized egress protocols.
D3-SDScreen Capture DetectionDetectT1113Monitor desktop graphics API calls (BitBlt, GetDC) triggered by non-standard background threads.
D3-RPMRegistry Persistence MonitoringDetectT1547.001Audit and restrict write privileges to user and machine-level Registry Run/RunOnce keys using Endpoint Privilege Management.
D3-PMAPassword Manager Access ControlHardenT1555Enforce device compliance checks and multi-factor biometric authentication before unlocking stored credential vaults.

Exploited Vulnerabilities (CVEs)

This malware family is documented weaponizing the following common vulnerabilities and exposures:

Command & Control (C2) and Network Profile

How this family talks to its operators. C2 traffic can often identify a family even when its code and configuration are hard to analyse. Ports and patterns are historical and change between campaigns, so use them as hunting leads rather than block-only rules.

ProtocolsHTTP, HTTPS
Observed ports80, 443
Identifiable from traffic aloneMedium

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_URELAS_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Urelas"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "urelas" ascii wide nocase
        $s2 = "urelas" ascii wide nocase
        $s3 = "trojan:win32/urelas" ascii wide nocase
        $s4 = "trojan.urelas" ascii wide nocase
        $s5 = "win32/urelas" ascii wide nocase
        $s6 = "infostealer.urelas" ascii wide nocase
        $s7 = "trojan.win32.urelas" 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 - Urelas (Infostealer) Execution & Triage
id: 9362b575-4bde-5a36-8b07-95f76b754459
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Urelas malware family. Detects browser credential database harvesting,
  master key queries, and DPAPI extraction routines typical of modern infostealers.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/urelas
- https://malware-families-catalog.systemhelpdesk.com/defensive/infostealer-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.infostealer
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1555
- attack.t1056_001
- attack.t1113
- attack.t1071_001
- attack.t1547_001
logsource:
  category: process_creation
  product: windows
detection:
  selection_process:
    Image|endswith:
    - \cmd.exe
    - \powershell.exe
    - \rundll32.exe
    CommandLine|contains:
    - \Google\Chrome\User Data\Default\Login Data
    - \AppData\Roaming\Mozilla\Firefox\Profiles
    - \AppData\Local\Microsoft\Edge\User Data
    - vaultcmd.exe /list
    - dpapi
  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_URELAS_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Urelas 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 = "urelas" 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 compromised endpoints to prevent exfiltration of captured credentials to attacker C2 servers.
  2. Enforce a mandatory password reset for all personal and corporate accounts accessed from the infected workstation.
  3. Audit web browser password caches and invalidate active SSO session cookies.
  4. Deploy endpoint detection rules preventing execution of unverified binaries from temporary user directories.

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 execute pirated software cracks or unauthorized gaming modifications on enterprise devices.
  2. Avoid saving master enterprise credentials in web browser password management caches.
  3. Never bypass antivirus warnings when running downloaded third-party key generator utilities.

References & External Analysis

Frequently Asked Questions

What is Urelas malware?

Urelas is an information-stealing trojan designed to extract passwords, session cookies, and gaming credentials from Windows PCs.

How is Urelas distributed to victims?

Urelas is distributed through P2P file-sharing networks and forum downloads masquerading as software cracks, cheats, and game keygens.

What sensitive data does Urelas steal?

Urelas harvests saved browser passwords, session cookies, gaming account tokens (Steam, Origin), and typed keystrokes.

How does Urelas exfiltrate stolen credentials?

Urelas packages collected credentials into encrypted archive files and transmits them to attacker C2 servers via HTTP POST requests.

What vulnerabilities were exploited in Urelas distribution?

Urelas campaigns weaponized document vulnerabilities including CVE-2012-0158 and CVE-2015-1641 in phishing attachments.

How do I remove the Urelas Infostealer from Windows?

Manual removal of Urelas 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 Urelas a virus or a Infostealer?

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

What are the main symptoms of a Urelas infection?

Symptoms of Urelas 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 Infostealers

Want to prevent Urelas and similar threats from compromising your organization? Read our comprehensive defensive guide: InfoStealer Protection & Remediation.

📣 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/urelas.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.