Magania

Category: trojan · Aliases: PWS:Win32/Magania, Trojan:Win32/Magania, Trojan-PWS.Win32.Magania, Win32/Magania · Sample count (EMBER 2018): 63 · Enrichment: curated_sourced · Updated: 2026-10-15
Category: TrojanStatus: Automated SignaturePlatform: WINDOWS_PEStage: Execution, PersistenceFirst seen: 2008Actor: Unknown / CybercriminalIndustry: Global / OpportunisticMotivation: Credential Theft & Financial Monetization🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows 8.1
Executive Summary
Magania (cataloged in antivirus vendor databases and threat intelligence feeds under detections including PWS:Win32/Magania, Trojan:Win32/Magania, and Trojan-PWS.Win32.Magania) is a notorious password-stealing trojan active since 2008.

Table of Contents

Overview

Magania (cataloged in antivirus vendor databases and threat intelligence feeds under detections including PWS:Win32/Magania, Trojan:Win32/Magania, and Trojan-PWS.Win32.Magania) is a notorious password-stealing trojan active since 2008. Designed to harvest sensitive credentials from compromised endpoints, Magania historically targeted online multiplayer gaming accounts, digital asset inventories, and web browsers. Upon execution, the malware injects malicious threads into legitimate system processes like explorer.exe to conceal its memory footprint. Magania hooks system APIs and keyboard events to capture account credentials entered into login forms, monitors active application titles, and scans local files for cached credentials. It transmits stolen authentication data to remote C2 servers over HTTP and creates persistent autostart entries in the Windows registry under CurrentVersion\Run.

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: Win32 Password Stealing Toolkits

Known Derivatives & Downstream Variants: Magania.A · Magania.Gen

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-NDFNetwork Data FilteringIsolateT1048Inspect non-standard port traffic and block unauthorized ICMP or DNS tunneling protocols at the network perimeter.
D3-PIADProcess Injection Analysis & DetectionDetectT1055Monitor cross-process thread creation (CreateRemoteThread) and asynchronous procedure calls (QueueUserAPC).
D3-MFAMulti-factor AuthenticationHardenT1056.001Enforce FIDO2 / WebAuthn physical tokens to render keystroke-intercepted passwords useless.
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.

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_MAGANIA_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Magania"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "magania" ascii wide nocase
        $s2 = "pws:win32/magania" ascii wide nocase
        $s3 = "trojan:win32/magania" ascii wide nocase
        $s4 = "trojan-pws.win32.magania" ascii wide nocase
        $s5 = "win32/magania" 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 - Magania (Trojan) Execution & Triage
id: 828fcafe-8a4e-5864-87cc-e113aa7f2a91
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Magania 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/magania
- 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.t1056_001
- attack.t1055
- attack.t1555_003
- attack.t1547_001
- 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_MAGANIA_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Magania 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 = "magania" 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 endpoint from the network to halt the active exfiltration of any captured keystrokes or screenshots.
  2. Force a global password reset for all accounts used on the machine, prioritizing corporate and financial credentials, as keyloggers capture everything.
  3. Review the Windows Registry Run keys and Startup folders to locate and remove the Magania persistence mechanisms.
  4. Assume the endpoint is compromised; a clean OS rebuild is recommended to ensure all API hooking and keylogging components are removed.

What to Avoid

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

  1. Do not allow the user to type any passwords or access sensitive portals while the machine is infected.
  2. Avoid treating the infection as a 'low severity gaming issue'; the malware captures all keystrokes, exposing corporate VPN and email credentials.

References & External Analysis

Frequently Asked Questions

What is PWS:Win32/Magania?

Magania is a password-stealing trojan designed to harvest online gaming credentials and browser passwords.

What types of accounts are targeted by Magania?

It specifically targets online multiplayer gaming accounts, digital currencies, and web browser credentials.

How does Magania conceal its execution in system memory?

It injects its payload threads into legitimate operating system processes like explorer.exe.

How does Magania capture typed account passwords?

It sets API hooks on keyboard inputs and monitors active application window titles.

What remediation steps should be taken following a Magania infection?

Quarantine the malware with Microsoft Defender, reset all gaming and banking passwords, and enable MFA.

How do I remove the Magania Trojan from Windows?

Manual removal of Magania 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 Magania a virus or a Trojan?

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

What are the main symptoms of a Magania infection?

Symptoms of Magania 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 Magania 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/magania.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.