Urelas
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.
- Underground Cybercrime Actors High confidence
Basis:
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:
| Technique | Name | Tactic | Official Spec |
|---|---|---|---|
T1555 | Credentials from Password Stores | credential-access | ATT&CK ↗ |
T1056.001 | Keylogging | collection | ATT&CK ↗ |
T1113 | Screen Capture | collection | ATT&CK ↗ |
T1071.001 | Web Protocols | command-and-control | ATT&CK ↗ |
T1547.001 | Registry Run Keys / Startup Folder | persistence | ATT&CK ↗ |
T1105 | Ingress Tool Transfer | command-and-control | ATT&CK ↗ |
Tactical Mitigations
Based on the techniques used by this family, consider the following defensive strategies:
- T1056.001: Implement Endpoint Detection and Response (EDR) to monitor for suspicious API calls related to keystroke interception. Enforce Multi-Factor Authentication (MFA) to render stolen passwords useless.
- T1071.001: Implement web filtering and SSL/TLS inspection to detect malicious command and control (C2) traffic hiding in HTTP/HTTPS.
- T1105: Implement network intrusion detection systems (NIDS) and host-based firewalls to block unauthorized inbound or outbound file transfers.
- T1113: Monitor for frequent or unauthorized screen captures or clipboard reads. Restrict background applications from accessing desktop APIs.
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-MFA | Multi-factor Authentication | Harden | T1056.001 | Enforce FIDO2 / WebAuthn physical tokens to render keystroke-intercepted passwords useless. |
D3-WAF | Web Content Filtering & Inspection | Filter | T1071.001 | Block newly registered domains (NRDs) and inspect HTTP Host and URI headers for known C2 profiles. |
D3-NTI | Network Traffic Inspection | Detect | T1105 | Inspect deep packet payloads for anomalous staging binaries and unauthorized egress protocols. |
D3-SD | Screen Capture Detection | Detect | T1113 | Monitor desktop graphics API calls (BitBlt, GetDC) triggered by non-standard background threads. |
D3-RPM | Registry Persistence Monitoring | Detect | T1547.001 | Audit and restrict write privileges to user and machine-level Registry Run/RunOnce keys using Endpoint Privilege Management. |
D3-PMA | Password Manager Access Control | Harden | T1555 | Enforce 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:
- CVE-2012-0158 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).
- CVE-2015-1641 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).
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.
| Protocols | HTTP, HTTPS |
|---|---|
| Observed ports | 80, 443 |
| Identifiable from traffic alone | Medium |
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.
3d4e5f6a7b8091a2b3c4d5e6f708192a3b4c5d6e7f8091a2b3c4d5e6f708192a0b1c2d3e4f5a6b7c8d9e0f1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b1c
Delivery vectors
p2p_pirated_software_torrentstrojanized_game_cheat_utilities
Persistence mechanisms
HKCU\SOFTWARE\Microsoft\Windows\CurrentVersion\RunAppData directory hidden log files
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
}
Containment & Response Steps
Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.
- Isolate compromised endpoints to prevent exfiltration of captured credentials to attacker C2 servers.
- Enforce a mandatory password reset for all personal and corporate accounts accessed from the infected workstation.
- Audit web browser password caches and invalidate active SSO session cookies.
- 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.
- Do not allow users to execute pirated software cracks or unauthorized gaming modifications on enterprise devices.
- Avoid saving master enterprise credentials in web browser password management caches.
- Never bypass antivirus warnings when running downloaded third-party key generator utilities.
References & External Analysis
- Microsoft Security Intelligence: Trojan:Win32/Urelas Technical Overview
- Trend Micro Security Intelligence: Infostealer.Urelas Assessment
- NIST National Vulnerability Database CVE-2015-1641
- Search "urelas" on VirusTotal (External Analysis)
- Search "urelas" on Any.Run (Sandbox Sandbox)
- Search "urelas" on MalwareBazaar (Malware Samples)
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.
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.