Zbot

Category: banking_trojan · Aliases: Zeus, Zbot, GameOver Zeus, Zeus Panda, Wsnpoem, Trojan-Spy.Win32.Zbot, Win32/Zbot, Trojan:Win32/Zbot · Sample count (EMBER 2018): 24,075 · Enrichment: curated_sourced · Updated: 2026-10-16
Category: Banking_TrojanStatus: Automated SignaturePlatform: WINDOWS, WINDOWS_PEStage: Initial Access, Execution, Persistence, Defense Evasion, Credential Access, Discovery, Collection, Command And Control🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows Server 2022
Executive Summary
Zbot (universally known as Zeus, and documented under variants such as Zeus Panda, GameOver Zeus, and Wsnpoem) is arguably the most influential banking trojan and crimeware toolkit in cybersecurity history.

Table of Contents

Overview

Zbot (universally known as Zeus, and documented under variants such as Zeus Panda, GameOver Zeus, and Wsnpoem) is arguably the most influential banking trojan and crimeware toolkit in cybersecurity history. Originally authored in 2006 by Russian threat actor 'Slavik' (Evgeniy Mikhailovich Bogachev, operative head of the 'Business Club' syndicate), Zeus established the architectural paradigm for modern credential theft, automated banking diversion, and decentralized botnet operations. The malware executes via stealthy injection into critical Windows processes (winlogon.exe, svchost.exe, explorer.exe) and hooks low-level WinINet and NSS socket libraries. Through this Man-in-the-Browser (MitB, T1185) mechanism, Zeus captures plaintext banking credentials, account numbers, and personal identifiers before transmission and browser-side TLS/SSL encryption. Zeus pioneered dynamic HTML web-injections and Automated Transfer Systems (ATS), which secretly modify account balances in the victim's browser while surreptitiously redirecting wire funds to money-mule bank accounts in real time. In 2011, the complete Zeus source code was leaked online, sparking a massive proliferation of derivative banking malware, including Citadel, Ramnit, SpyEye, KINS, and Panda Banker. Following the leak, Bogachev developed 'GameOver Zeus' (GOZ), replacing the centralized HTTP C2 architecture with an advanced, resilient peer-to-peer (P2P) network with cryptographic domain generation algorithms (DGAs). GameOver Zeus infected over one million endpoints worldwide and served as the primary distribution channel for CryptoLocker, the first major global crypto-ransomware epidemic. In June 2014, an international law enforcement coalition dismantled the GOZ infrastructure under Operation Tovar, leading to CISA Alert AA14-150A and the FBI placing Bogachev on its Cyber Most Wanted list.

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: Prt

Known Derivatives & Downstream Variants: Gameover_Zeus · Zeus_Panda · Citadel · Ramnit · Spyeye · Kins · Floki_Bot

MITRE ATT&CK Techniques

This family has been observed using the following ATT&CK techniques: T1185 · T1056.001 · T1055.001 · T1071.001 · T1547.001 · T1003.001 · T1090.001 · T1568.002

→ 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-LSALSA Protection & Credential GuardHardenT1003.001Enable Windows LSA RunAsPPL (Protected Process Light) and Credential Guard to prevent memory dumping of lsass.exe.
D3-DIADLL Injection AnalysisDetectT1055.001Monitor remote thread creation (CreateRemoteThread) and unauthorized DLL loading into core Windows processes (svchost.exe, explorer.exe).
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-OAAOutbound Network Traffic FilteringIsolateT1090.001Restrict outbound connections to known external proxy relays and enforce enterprise forward proxy authentication.
D3-MitBAMan-in-the-Browser AnalysisDetectT1185Deploy browser extension whitelisting and hardware-backed session binding to prevent rogue DOM and socket injection.
D3-RPMRegistry Persistence MonitoringDetectT1547.001Audit and restrict write privileges to user and machine-level Registry Run/RunOnce keys using Endpoint Privilege Management.
D3-DNSRDNS Reputation AnalysisDetectT1568.002Deploy recursive DNS security resolvers with algorithmic domain scoring (entropy and n-gram models) to automatically sinkhole DGA queries.

Exploited Vulnerabilities (CVEs)

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

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_ZBOT_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Zbot"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "zbot" ascii wide nocase
        $s2 = "zeus" ascii wide nocase
        $s3 = "zbot" ascii wide nocase
        $s4 = "gameover zeus" ascii wide nocase
        $s5 = "zeus panda" ascii wide nocase
        $s6 = "wsnpoem" ascii wide nocase
        $s7 = "trojan-spy.win32.zbot" ascii wide nocase
        $s8 = "win32/zbot" ascii wide nocase
        $s9 = "trojan:win32/zbot" 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 - Zbot (Banking Trojan) Execution & Triage
id: 94568e78-bda3-50b4-a114-f62b10cf49b8
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Zbot 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/zbot
- 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.t1056_001
- attack.t1055_001
- 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_ZBOT_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Zbot 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 = "zbot" 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)

References & External Analysis

North American Authority Advisory (CISA / NIST)

The Cybersecurity and Infrastructure Security Agency (CISA) has published an official US federal advisory on this family, which can be mapped to NIST Cybersecurity Framework (CSF) incident response controls: AA14-150A ↗

Frequently Asked Questions

What is Zbot and why is it also known as Zeus?

Zbot is the primary antivirus vendor classification for Zeus, the notorious banking trojan authored by Evgeniy Bogachev ('Slavik') in 2006. It pioneered web injections and Man-in-the-Browser attacks to harvest online banking credentials.

How does Zeus execute Man-in-the-Browser attacks?

Zeus injects code into browser processes and hooks the Windows WinINet and Mozilla NSS libraries. By intercepting HTTP and HTTPS traffic before it is encrypted, Zeus captures login passwords and dynamically inserts rogue form fields into online banking pages.

What was the GameOver Zeus (GOZ) botnet?

GameOver Zeus was a decentralized, peer-to-peer (P2P) variant of Zeus developed to eliminate single points of failure in centralized C2 servers. It generated encrypted P2P mesh routing nodes and was used to steal hundreds of millions of dollars while distributing CryptoLocker ransomware.

How did the 2011 Zeus source code leak affect the threat landscape?

The leak of the Zeus v2 source code in 2011 commoditized sophisticated banking trojan development. Cybercriminals worldwide adapted the codebase to create numerous notorious malware families, including Citadel, Ramnit, SpyEye, KINS, and Panda Banker.

What was Operation Tovar?

Operation Tovar was a coordinated multinational law enforcement operation executed in June 2014 by the FBI, Europol, and industry cybersecurity partners that successfully seized and dismantled the GameOver Zeus botnet infrastructure.

What CISA advisories exist for Zeus and GameOver Zeus?

CISA published Alert AA14-150A detailing the technical architecture of GameOver Zeus and CryptoLocker, providing indicators of compromise (IOCs) and network defense measures.

How can organizations protect against Zeus-derived malware?

Enforce hardware-token multi-factor authentication (FIDO2/WebAuthn) which resists Man-in-the-Browser manipulation, block outbound traffic to known DGA and P2P botnet nodes, and deploy endpoint behavioral detection targeting memory injection into explorer.exe and svchost.exe.

How do I remove the Zbot Banking_Trojan from Windows?

Manual removal of Zbot 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 Zbot a virus or a Banking_Trojan?

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

What are the main symptoms of a Zbot infection?

Symptoms of Zbot 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 Zbot 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/zbot.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.