Zusy
Table of Contents
Overview
Tinba (formally designated in AV classification as Zusy or IlliBanker, and colloquially celebrated as the 'Tiny Banker') is a notoriously compact banking trojan first analyzed in May 2012 by CSIS Security Group. Weighing in at approximately 20 kilobytes in compiled binary size, Tinba achieved legendary status among reverse engineers for accomplishing full-featured man-in-the-browser (MitB) financial theft within an extraordinarily minimalist, hand-crafted x86 assembly footprint. Tinba hooks Windows networking APIs (specifically in ws2_32.dll, wininet.dll, and nspr4.dll) to intercept HTTPS traffic before encryption. When victims navigate to targeted banking portals, Tinba injects fraudulent HTML/JavaScript form fields into the webpage, prompting users for sensitive details such as debit card PINs, mother's maiden names, and one-time SMS authentication codes. In July 2014, Tinba's complete source code leaked onto Russian cybercrime forums, leading to widespread proliferation and the development of Tinba v2 with domain generation algorithm (DGA) capabilities.
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 Assembly Developer / Leaked Source Syndicates High confidence
Basis: Originally created in 2012 as a hyper-compact 20 KB assembly-coded banking trojan. Following the public leak of its full source code in July 2014, multiple independent cybercrime operations deployed modified versions featuring domain generation algorithms (DGA) and localized webinjection kits. [source]
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: Tinba V1 · Tinba V2 · Tinba-Dga
MITRE ATT&CK Techniques
Observed techniques used by this family, mapped to our technical analysis hubs and the official MITRE ATT&CK framework:
Tactical Mitigations
Based on the techniques used by this family, consider the following defensive strategies:
- 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.
- T1566.002: Inspect email links for known malicious domains and use link-rewriting services for time-of-click analysis.
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-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-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-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-URLR | URL Rewriting & Time-of-Click Inspection | Filter | T1566.002 | Rewrite all external email links to force real-time URL reputation and DNS resolution at click time. |
Exploited Vulnerabilities (CVEs)
This malware family is documented weaponizing the following common vulnerabilities and exposures:
- CVE-2013-3893 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).
- CVE-2014-0322 — 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 |
| Infrastructure model | Tiered C2 architecture leveraging Domain Generation Algorithms (DGA) creating pseudo-random domains across .com, .net, .biz, and .ru TLDs. |
| Encryption / encoding | RC4 symmetric encryption using hardcoded 16-byte keys, with base64-encoded payload packets containing victim financial session tokens and credentials. |
| Traffic fingerprint | Periodic HTTP POST requests to DGA-generated domain names with short 10-15 character alphabetic hostnames, transmitting small (under 1 KB) encrypted payload bursts. |
| Identifiable from traffic alone | High |
Network detection ideas
- Detect high volumes of NXDOMAIN responses matching Tinba DGA algorithm domain characteristics
- Inspect web browser processes (chrome.exe, firefox.exe, iexplore.exe) for inline hook modifications to WS2_32.dll and Wininet.dll
- Block network traffic to known Tinba C2 domains cataloged by abuse.ch Feodo Tracker
Sources: CISA Advisory AA20-302A, abuse.ch Feodo Tracker Tinba
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.
0e9cb293b610c1f5d6ee47ab95323eb71790ae4fe6b77ae4b0d0092cce53df4a7a884fa6e3d5b087f94bb2e15bc963f45812e106987f2da542ec9a5180f63aa9
Delivery vectors
Drive-by downloads from compromised websites hosting Nuclear and Rig Exploit KitsPhishing emails containing weaponized ZIP or DOC attachments
Persistence mechanisms
Registry Run key in HKCU\Software\Microsoft\Windows\CurrentVersion\Run pointing to %APPDATA%\binProcess injection into explorer.exe and active web browser processes
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_ZUSY_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Zusy"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "zusy" ascii wide nocase
$s2 = "tinba" ascii wide nocase
$s3 = "tiny banker" ascii wide nocase
$s4 = "zusy" ascii wide nocase
$s5 = "illibanker" ascii wide nocase
$s6 = "tinybanker" 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 - Zusy (Banking Trojan) Execution & Triage
id: 7d4c4b45-e844-524b-aa6d-01ac89a06a21
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Zusy 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/zusy
- 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.t1071_001
- attack.t1055
- attack.t1547_001
- attack.t1555_003
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_ZUSY_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Zusy 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 = "zusy" 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 the endpoint immediately from the corporate network to prevent Zusy from executing real-time Automated Transfer System (ATS) fraudulent transactions or web injections.
- Revoke all active online banking sessions, treasury management credentials, and accounting administrator sessions accessed from the machine.
- Analyze browser process memory (hooks on wininet.dll, ws2_32.dll, nspr4.dll) to detect and eradicate injected Zusy fraud modules.
- Notify internal financial compliance and partner banking institutions to place temporary fraud holds or elevated monitoring on relevant accounts.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Do not permit financial transactions or banking portal access from any machine in the same broadcast domain until Zusy network activity is cleared.
- Avoid relying solely on antivirus scans, as banking trojans frequently hook browser API calls directly in user-mode memory.
References & External Analysis
- Malpedia (Fraunhofer FKIE): Tinba (win.tinba)
- CISA Advisory: CISA Alert AA20-302A (Top Routinely Exploited Vulnerabilities)
- Search "zusy" on VirusTotal (External Analysis)
- Search "zusy" on Any.Run (Sandbox Sandbox)
- Search "zusy" on MalwareBazaar (Malware Samples)
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: CISA Alert AA20-302A (Top Routinely Exploited Vulnerabilities) ↗
Frequently Asked Questions
What is Tinba (Tiny Banker / Zusy)?
Tinba (Zusy) is an ultra-compact (~20 KB) banking trojan coded in assembly that hooks browser network APIs to steal credentials through man-in-the-browser webinjections.
How did Tinba spread after its creation?
After its complete source code was leaked on underground forums in July 2014, cybercriminals created customized variants with DGA capabilities targeting banks across North America, Europe, and Asia.
How does Tinba bypass HTTPS encryption?
Tinba hooks browser API functions in memory (such as PR_Write and HttpSendRequestA), intercepting banking credentials and injecting rogue form fields before TLS encryption takes place.
What makes Tinba's network footprint unique?
Tinba communicates with tiny payload bursts (under 1 KB) over HTTP/HTTPS, using RC4 encryption and DGA domain generation to cycle through command servers.
How can defenders detect Tinba memory injection?
EDR agents can detect Tinba by monitoring for unauthorized memory modifications to Wininet.dll and ws2_32.dll inside browser processes and anomalous child process spawning.
How do I remove the Zusy Banking_Trojan from Windows?
Manual removal of Zusy 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 Zusy a virus or a Banking_Trojan?
Zusy is classified as a Banking_Trojan. Unlike traditional viruses that infect files, modern malware like Zusy typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.
What are the main symptoms of a Zusy infection?
Symptoms of Zusy 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 Zusy 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/zusy.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.