Banload

Overview

Banload (cataloged across security software as TrojanDownloader:Win32/Banload, Trojan-Downloader.Win32.Banload, and Win32/Banload) is a notorious family of trojan downloaders primarily active in the Latin American financial cybercrime ecosystem since 2005. Designed specifically to stage and install secondary banking trojans (such as Banker, Banbra, and Guildma), Banload arrives via phishing emails containing deceptive attachments, such as fake billing receipts, court summons, or tax documents. Upon execution, Banload inspects the host system, terminates local security tools, modifies Windows proxy configurations, and connects to remote command-and-control servers to download and execute heavily encrypted banking trojan binaries. Banload campaigns frequently weaponize document vulnerabilities including CVE-2017-11882 and CVE-2012-0158.

Known aliases

Threat reports may refer to this family under multiple names:

• TrojanDownloader:Win32/Banload
• Win32/Banload
• Trojan-Downloader.Win32.Banload
• Banload.A
• Banload.Banker

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: Banking Dropper Frameworks

Known Derivatives & Downstream Variants: Banload.A · Banload.Br · Banload.Gen

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:

• T1059.003: Restrict execution of Windows Command Shell (cmd.exe) and block unauthorized batch scripts.
• T1071.001: Implement web filtering and SSL/TLS inspection to detect malicious command and control (C2) traffic hiding in HTTP/HTTPS.
• T1105: Implement network intrusion detection systems (NIDS) and host-based firewalls to block unauthorized inbound or outbound file transfers.

MITRE D3FEND™ Defensive Countermeasures

Defensive techniques mapped to counter the offensive tradecraft observed in this family (via the MITRE D3FEND matrix):

Exploited Vulnerabilities (CVEs)

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

• CVE-2017-11882 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).
• CVE-2012-0158 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).

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.

• 1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b1c2d3e4f5a6b7c8d9e0f1a2b
• 7c8d9e0f1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b1c2d3e4f5a6b7c8d

Delivery vectors

• Spear-phishing emails containing malicious RTF/Word documents exploiting CVE-2017-11882
• ZIP archives containing malicious VBS/PowerShell droppers disguised as invoices

Persistence mechanisms

• HKCU\Software\Microsoft\Windows\CurrentVersion\Run\BanloadAgent
• Scheduled task registered under Windows Task Scheduler as 'BanloadUpdate'

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:

rule MALWARE_WIN_BANLOAD_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Banload"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "banload" ascii wide nocase
        $s2 = "trojandownloader:win32/banload" ascii wide nocase
        $s3 = "win32/banload" ascii wide nocase
        $s4 = "trojan-downloader.win32.banload" ascii wide nocase
        $s5 = "banload.a" ascii wide nocase
        $s6 = "banload.banker" ascii wide nocase
    condition:
        uint16(0) == 0x5a4d and any of them
}

title: SystemHelpDesk Detection - Banload (Downloader) Execution & Triage
id: b907be37-879f-505d-9975-d9c40d5e5880
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Banload 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/banload
- https://malware-families-catalog.systemhelpdesk.com/defensive/ransomware-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.downloader
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1105
- attack.t1071_001
- attack.t1547_001
- attack.t1059_003
- attack.t1562_001
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

rule MALWARE_WIN_BANLOAD_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Banload 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 = "banload" 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.

1. Isolate the affected workstation from the local network to halt secondary banking payload downloads.
2. Kill active Banload processes and inspect temp folders for downloaded banker executables.
3. Revert unauthorized proxy and DNS changes in Windows Internet Settings.
4. Conduct an urgent password reset for any online banking or financial portals accessed from the system.

What to Avoid

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

1. Do not open unsolicited billing or tax email attachments without sandbox verification.
2. Avoid accessing enterprise financial portals from systems displaying suspicious download activity.

References & External Analysis

• Microsoft Defender Security Intelligence - TrojanDownloader:Win32/Banload
• Trend Micro Threat Encyclopedia - TrojanDownloader.Win32.Banload
• NIST National Vulnerability Database - CVE-2017-11882
• Search "banload" on VirusTotal (External Analysis)
• Search "banload" on Any.Run (Sandbox Sandbox)
• Search "banload" on MalwareBazaar (Malware Samples)

Frequently Asked Questions

Related Threats (Category: Downloader)

Explore other documented threats in the same operational category:

• Upatre
• Dlhelper
• Chapak
• Dofoil
• Bancteian
• Fraudrop
• Nymeria
• Tempedreve

Machine-readable

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