Vawtrak

Category: banking_trojan · Aliases: Vawtrak, Neverquest, Snifula, Win32/Vawtrak, Trojan.Vawtrak · Sample count (EMBER 2018): 50 · Enrichment: curated_sourced · Updated: 2026-06-09
Category: Banking_TrojanStatus: Automated SignaturePlatform: WINDOWS_PEStage: Credential Access, Collection, ExfiltrationFirst seen: 2013Actor: Unknown / CybercriminalIndustry: Global / OpportunisticMotivation: Opportunistic🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows Server 2022
Executive Summary
Vawtrak (widely cataloged across international law enforcement and intelligence communities as Neverquest or Snifula) is one of the most damaging banking trojans of the 2010s, first observed in 2013.

Table of Contents

Overview

Vawtrak (widely cataloged across international law enforcement and intelligence communities as Neverquest or Snifula) is one of the most damaging banking trojans of the 2010s, first observed in 2013. Designed for large-scale financial theft, Vawtrak compromised thousands of victim bank accounts across major financial institutions globally, stealing millions of dollars. Vawtrak was authored with roots tracing back to the Gozi (ISFB) and Shiz trojan codebases. It executes man-in-the-browser (MitB) webinjects to intercept online banking credentials, bypass two-factor authentication, and establish covert VNC connections allowing operators to conduct fraudulent transactions from the victim's own authenticated browser session. In January 2017, Spanish police arrested Russian mastermind Stanislav Lisov (known online as 'Black' and 'BlackDB') in Barcelona pursuant to an FBI warrant. In February 2019, Lisov pleaded guilty in the US District Court for the Southern District of New York (SDNY) to conspiring to commit computer hacking through the development and administration of Neverquest/Vawtrak, and was sentenced in November 2019.

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:

Derived From / Upstream Ancestry: Gozi / Isfb · Shiz

Known Derivatives & Downstream Variants: Vawtrak Version 1 (2013) · Vawtrak Version 2 (Dga & Steganography Delivery) · Snifula Core

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-BDABinary De-obfuscation & UnpackingAnalyzeT1027.003Utilize memory dump scanners and entropy inspection to unpack encrypted stagers during process creation.
D3-DIADLL Injection AnalysisDetectT1055.001Monitor remote thread creation (CreateRemoteThread) and unauthorized DLL loading into core Windows processes (svchost.exe, explorer.exe).
D3-MitBAMan-in-the-Browser AnalysisDetectT1185Deploy browser extension whitelisting and hardware-backed session binding to prevent rogue DOM and socket injection.
D3-STASecurity Tool Anti-Tamper EnforcementHardenT1562.001Block unauthorized modification of antivirus registry flags and prevent stopping security agent services.

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, Steganographic Favicon Delivery, DGA Fallback
Observed ports443, 80, 4443, 8080
Infrastructure modelDecentralized command servers utilizing algorithmic domain generation (DGA) and steganographic payload delivery where encrypted binary updates were concealed within image files (e.g., favicon.ico) on compromised web servers.
Identifiable from traffic aloneUnrated

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_VAWTRAK_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Vawtrak"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "vawtrak" ascii wide nocase
        $s2 = "vawtrak" ascii wide nocase
        $s3 = "neverquest" ascii wide nocase
        $s4 = "snifula" ascii wide nocase
        $s5 = "win32/vawtrak" ascii wide nocase
        $s6 = "trojan.vawtrak" 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 - Vawtrak (Banking Trojan) Execution & Triage
id: 82fddfca-1e52-5295-991f-e1d9e984d863
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Vawtrak malware family. Detects recon staging, certutil file payload staging,
  and web-inject process proxying characteristic of banking trojan initial loaders.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/vawtrak
- https://malware-families-catalog.systemhelpdesk.com/defensive/banking-trojan-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.banking-trojan
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1055
- attack.t1056_001
- attack.t1113
- attack.t1071_001
- attack.t1547_001
logsource:
  category: process_creation
  product: windows
detection:
  selection_process:
    Image|endswith:
    - \svchost.exe
    - \explorer.exe
    - \msiexec.exe
    - \certutil.exe
    CommandLine|contains:
    - -urlcache
    - -split -f
    - ipconfig /all
    - route print
    - netstat -ano
  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_VAWTRAK_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Vawtrak 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 = "vawtrak" 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. Disconnect the endpoint immediately to terminate the attacker's hidden VNC session and halt financial transactions.
  2. Force a password reset for all financial institutions, ensuring the user logs in from a known-clean device.
  3. Capture a memory dump before powering down the machine to extract Vawtrak's decrypted web inject configuration and steganographic payload.
  4. Deploy Endpoint Detection and Response (EDR) rules to hunt for unauthorized DLL injections within <code>explorer.exe</code>.

What to Avoid

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

  1. Do not assume two-factor authentication (2FA) via SMS is sufficient protection; Vawtrak's web injects will dynamically prompt the user for the code and steal it.
  2. Avoid relying on static signatures, as Vawtrak frequently updates its packed modules and obfuscates its C2 traffic.

References & External Analysis

Frequently Asked Questions

What is Vawtrak / Neverquest?

Vawtrak (also known as Neverquest or Snifula) is a banking trojan that steals banking login credentials and executes unauthorized financial transfers via hidden VNC sessions.

Who was convicted for creating Neverquest?

Russian citizen Stanislav Lisov pleaded guilty in federal court in New York in 2019 to administering the Neverquest/Vawtrak trojan network and was sentenced to federal prison.

How did Vawtrak execute webinjects?

Vawtrak hooked Windows socket and cryptographic APIs within browsers, modifying web pages in real time to capture login credentials and one-time passwords without triggering certificate warnings.

How did Vawtrak use steganography?

Vawtrak concealed encrypted configuration data and executable code inside innocent-looking website icon files (favicon.ico), evading content inspection firewalls.

How do financial defenders protect against Vawtrak?

Implement behavioral biometric monitoring during online banking sessions, flag abnormal browser API hooks, and enforce device fingerprinting to detect hidden VNC sessions.

How do I remove the Vawtrak Banking_Trojan from Windows?

Manual removal of Vawtrak 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 Vawtrak a virus or a Banking_Trojan?

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

What are the main symptoms of a Vawtrak infection?

Symptoms of Vawtrak 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 Banking_Trojans

Want to prevent Vawtrak 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 team.

Machine-readable

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