Blackmoon
Table of Contents
Overview
Trojan:Win32/Blackmoon (widely designated in cybersecurity research as KRBanker) is a destructive, regionally focused banking trojan that emerged in 2014, specifically engineered to plunder financial accounts at major South Korean commercial banks and financial institutions. Blackmoon operates by altering Windows DNS resolution settings and injecting malicious redirection rules directly into the system 'hosts' file (%SystemRoot%\System32\drivers\etc\hosts) and local proxy configurations (PAC files). When users attempt to navigate to legitimate banking portals (including Shinhan Bank, Kookmin Bank, Woori Bank, and Hana Bank), Blackmoon redirects traffic to pixel-perfect fraudulent clone websites. These pharming portals prompt victims to input their complete digital banking certificates (NPKI), resident registration numbers (RRN), account credentials, and physical security card matrices (all 35 security card codes). The trojan incorporates rootkit hooks into system network APIs, encrypted C2 communications using AES, and dynamic dropper distribution via compromised local Korean software update mechanisms and watering-hole sites.
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.
- East Asian Financial Cybercrime Syndicate High confidence
Basis: - KRBanker Threat Actors 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:
Known Derivatives & Downstream Variants: Krbanker V1 · Blackmoon Pac-Hijack Edition · Blackmoon Digital Certificate Stealer
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 |
|---|---|---|---|
T1565.002 | Transmitted Data Manipulation | impact | ATT&CK ↗ |
T1185 | Browser Session Hijacking | collection | ATT&CK ↗ |
T1555.003 | Credentials from Web Browsers | credential-access | ATT&CK ↗ |
T1071.001 | Web Protocols | command-and-control | ATT&CK ↗ |
T1566.002 | Spearphishing Link | 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.
- T1566.002: 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-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-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-2014-0515 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).
- CVE-2015-5119 — 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 |
|---|---|
| Observed ports | 443, 80 |
| 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.
a1b2c3d4e5f60718293a4b5c6d7e8f90123456789abcdef0123456789abcdef089a27eb2762eb295fe3509bc9f636257a3e7ef7b1bcfd1a7b489d81d6f228b7e
Delivery vectors
watering_hole_attacksexploit_kits
Persistence mechanisms
Hosts File RedirectionHKCU\Software\Microsoft\Windows\CurrentVersion\Run
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_BLACKMOON_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Blackmoon"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "blackmoon" ascii wide nocase
$s2 = "blackmoon" ascii wide nocase
$s3 = "krbanker" ascii wide nocase
$s4 = "trojan.blackmoon" ascii wide nocase
$s5 = "win32/blackmoon" ascii wide nocase
$s6 = "banker.krbanker" 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 - Blackmoon (Banking Trojan) Execution & Triage
id: 8b58f0ab-e87e-5b85-8ddc-4a7052dd40c3
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Blackmoon 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/blackmoon
- 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.t1565_002
- attack.t1185
- attack.t1555_003
- attack.t1071_001
- attack.t1566_002
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_BLACKMOON_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Blackmoon 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 = "blackmoon" 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.
- Inspect and restore Windows hosts file (%SystemRoot%\System32\drivers\etc\hosts) to default settings.
- Verify browser proxy configurations and clear unauthorized Proxy Auto-Config (PAC) URL assignments.
- Revoke compromised digital banking certificates (NPKI) and reissue authentication credentials.
- Apply security patches for Adobe and browser components to prevent drive-by watering-hole execution.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Never enter all 35 codes from a physical banking security card into any web portal prompt.
- Avoid accessing banking websites when browser certificate mismatch or DNS redirection warnings occur.
- Do not allow automatic proxy script configuration on sensitive financial endpoints.
References & External Analysis
- AhnLab ASEC Threat Intelligence: Analysis of KRBanker and Blackmoon
- Trend Micro Security Intelligence: KRBanker Online Banking Malware
- NIST National Vulnerability Database CVE-2015-5119
- Search "blackmoon" on VirusTotal (External Analysis)
- Search "blackmoon" on Any.Run (Sandbox Sandbox)
- Search "blackmoon" on MalwareBazaar (Malware Samples)
Frequently Asked Questions
What is the Blackmoon (KRBanker) malware?
Blackmoon is a targeted banking trojan designed to steal South Korean online banking credentials, digital NPKI certificates, and security card codes via DNS pharming.
How does Blackmoon execute pharming attacks?
Blackmoon modifies Windows hosts files and local proxy PAC settings to redirect legitimate online banking domain requests to fake replica websites controlled by attackers.
What sensitive financial information is targeted by Blackmoon?
The malware targets Korean resident registration numbers, online banking passwords, complete security card number tables, and NPKI personal authentication certificates.
What banks were targeted by Blackmoon?
Blackmoon specifically targeted commercial Korean financial institutions including Kookmin Bank, Shinhan Bank, Woori Bank, and Hana Bank.
What vulnerabilities were used to deploy Blackmoon?
Blackmoon droppers were distributed via watering-hole websites and exploit kits weaponizing Flash vulnerabilities including CVE-2014-0515 and CVE-2015-5119.
How do I remove Blackmoon from Windows?
Manual removal of Blackmoon 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.
What are the main symptoms of a Blackmoon infection?
Symptoms of Blackmoon 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 Blackmoon 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/blackmoon.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.