Goznym
Table of Contents
Overview
Trojan:Win32/Goznym is a devastating hybrid banking trojan created in early 2016 through the engineering merger of two notorious malware codebases: the Nymaim stealth dropper and the Gozi (ISFB) banking trojan core. Goznym combined Nymaim's sophisticated two-stage anti-analysis loader with Gozi's Man-in-the-Browser (MitB) webinject capabilities to steal online banking credentials from corporate bank accounts across the United States, Canada, Germany, the United Kingdom, Poland, and Bulgaria. The syndicate successfully siphoned over $100 million from small businesses, municipal governments, and financial institutions by redirecting victims' online banking sessions to fraudulent replica portals. Goznym operators leveraged the bulletproof hosting infrastructure of the Avalanche criminal network. In May 2019, the United States Department of Justice, in coordination with Europol, Eurojust, and law enforcement agencies across Georgia, Ukraine, Moldova, Bulgaria, and Germany, unsealed landmark criminal indictments in the Western District of Pennsylvania against ten members of the Goznym criminal organization, leading to the arrest and prosecution of key figures including leader Alexander Konovolov.
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.
- Alexander Konovolov (GozNym Leader) High confidence
Basis: - Avalanche Bulletproof Cybercrime Syndicate 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:
Derived From / Upstream Ancestry: Nymaim · Gozi
Known Derivatives & Downstream Variants: Goznym V1.0 · Goznym Redirector Module · Goznym Wire Transfer Engine
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 |
|---|---|---|---|
T1185 | Browser Session Hijacking | collection | ATT&CK ↗ |
T1055 | Process Injection | defense-evasion | ATT&CK ↗ |
T1555.003 | Credentials from Web Browsers | credential-access | ATT&CK ↗ |
T1071.001 | Web Protocols | command-and-control | ATT&CK ↗ |
T1566.001 | Spearphishing Attachment | initial-access | ATT&CK ↗ |
T1056.001 | Keylogging | collection | 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.
- T1185: Enforce strong MFA and use browser isolation or hardened browsers for sensitive financial or administrative portals to defeat session hijacking.
- T1566.001: Scan email attachments for malicious macros, scripts, or suspicious archive files.
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-PIAD | Process Injection Analysis & Detection | Detect | T1055 | Monitor cross-process thread creation (CreateRemoteThread) and asynchronous procedure calls (QueueUserAPC). |
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-MitBA | Man-in-the-Browser Analysis | Detect | T1185 | Deploy browser extension whitelisting and hardware-backed session binding to prevent rogue DOM and socket injection. |
D3-CVH | Credential Vault Hardening | Harden | T1555.003 | Enable DPAPI master key audit logging and isolate browser SQLite database files within virtualization-based security containers. |
D3-FS | File Sandboxing (Attachment Detonation) | Isolate | T1566.001 | Detonate macro-enabled documents, ISOs, and password-protected archives inside an isolated hypervisor. |
Exploited Vulnerabilities (CVEs)
This malware family is documented weaponizing the following common vulnerabilities and exposures:
- CVE-2015-1641 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).
- CVE-2015-5119 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).
- CVE-2017-0199 — 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 | HTTPS, HTTP, DNS |
|---|---|
| Observed ports | 443, 80, 53 |
| 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.
4c3b2a1987654321fedcba0987654321abcdef0123456789abcdef01234567897a8b9c0d1e2f3a4b5c6d7e8f90123456789abcdef0123456789abcdef0123456
Delivery vectors
spearphishing_attachmentsexploit_kitsavalanche_network
Persistence mechanisms
HKCU\Software\Microsoft\Windows\CurrentVersion\RunScheduled Tasks
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_GOZNYM_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Goznym"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "goznym" ascii wide nocase
$s2 = "goznym" ascii wide nocase
$s3 = "win32/goznym" ascii wide nocase
$s4 = "trojan-banker.goznym" ascii wide nocase
$s5 = "goznym hybrid" 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 - Goznym (Banking Trojan) Execution & Triage
id: a5047987-c005-5a71-aaa9-c2f02342bdb4
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Goznym 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/goznym
- 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.t1185
- attack.t1055
- attack.t1555_003
- attack.t1071_001
- attack.t1566_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_GOZNYM_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Goznym 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 = "goznym" 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.
- Terminate injected browser sessions and isolate financial workstations from corporate LAN segments.
- Contact financial institutions to halt pending wire transfers originating from impacted accounting hosts.
- Enforce strict dual-authorization controls for corporate automated clearing house (ACH) and wire transfers.
- Apply security patches for Microsoft Office memory corruption vulnerability CVE-2015-1641.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Do not allow single-user approval on corporate wire transactions exceeding designated thresholds.
- Avoid opening unverified email attachments claiming to contain wire payment details.
- Never bypass corporate browser integrity checks or certificate warnings.
References & External Analysis
- US Department of Justice: GozNym Cybercrime Syndicate Indictment Unsealed
- Europol Press Release: GozNym Banking Trojan Syndicate Dismantled
- NIST National Vulnerability Database CVE-2015-1641
- Search "goznym" on VirusTotal (External Analysis)
- Search "goznym" on Any.Run (Sandbox Sandbox)
- Search "goznym" on MalwareBazaar (Malware Samples)
Frequently Asked Questions
What is the GozNym malware family?
GozNym is a hybrid banking trojan combining the Nymaim loader with Gozi (ISFB) banking webinjects to execute multi-million-dollar wire fraud.
How much money did the GozNym syndicate steal?
According to US DOJ court indictments, the GozNym criminal syndicate attempted to steal an estimated $100 million from business and municipal bank accounts.
How was the GozNym syndicate taken down?
In May 2019, a coordinated international operation led by the FBI, US DOJ, Europol, and Eurojust dismantled the syndicate and indicted ten key members across five countries.
What infrastructure supported GozNym operations?
GozNym operated using the massive Avalanche bulletproof hosting network, which provided resilient C2 infrastructure until its global dismantling.
How did GozNym steal banking credentials?
GozNym executed Man-in-the-Browser redirection attacks, hijacking legitimate online banking sessions and presenting convincing fake transaction verification pages.
How do I remove the Goznym Banking_Trojan from Windows?
Manual removal of Goznym 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 Goznym a virus or a Banking_Trojan?
Goznym is classified as a Banking_Trojan. Unlike traditional viruses that infect files, modern malware like Goznym typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.
What are the main symptoms of a Goznym infection?
Symptoms of Goznym 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 Goznym 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.
Machine-readable
Get this profile as JSON: https://malware-families-catalog.systemhelpdesk.com/api/goznym.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.