Glupteba
Table of Contents
Overview
Glupteba (extensively researched and documented across the cybersecurity community and prominently disrupted by Google's Threat Analysis Group in December 2021 as Trojan:Win32/Glupteba, Backdoor:Win32/Glupteba, and Win32/Glupteba) is a landmark, highly sophisticated modular botnet active since 2011. Renowned for being one of the first crimeware botnets to leverage the public Bitcoin blockchain as a resilient fallback command-and-control mechanism, Glupteba regularly reads OP_RETURN data from specific Bitcoin wallet transactions to dynamically retrieve updated C2 server domain names and IP addresses, bypassing traditional DNS takedowns and IP blacklisting. Glupteba targets Windows endpoints, enterprise networks, and MikroTik routers, deploying modular capabilities including illicit cryptocurrency mining (Monero), stealing browser credentials and cookies, establishing residential proxy networks, launching distributed denial-of-service (DDoS) attacks, and deploying a signed vulnerable driver (a rootkit technique known as BYOVD - Bring Your Own Vulnerable Driver) to terminate endpoint security processes.
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:
Known Derivatives & Downstream Variants: Glupteba V1 · Glupteba V2 (Blockchain Enabled) · Trojan:Win32/Glupteba.Gen
MITRE ATT&CK Techniques
This family has been observed using the following ATT&CK techniques: T1071.001 · T1068 · T1562.001 · T1496 · T1555.003 · T1090
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.
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-KPA | Kernel Patching & Privilege Auditing | Harden | T1068 | Enforce rapid OS kernel patch cycles and deploy Exploit Guard protections to block memory corruption and elevation exploits. |
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-OAA | Outbound Network Traffic Filtering | Isolate | T1090 | Restrict outbound connections to known external proxy relays and enforce enterprise forward proxy authentication. |
D3-PEA | Processor Execution Auditing | Detect | T1496 | Alert on sustained high CPU/GPU utilization by processes originating from temporary user directories and block stratum mining pool ports. |
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-STA | Security Tool Anti-Tamper Enforcement | Harden | T1562.001 | Block unauthorized modification of antivirus registry flags and prevent stopping security agent services. |
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_GLUPTEBA_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Glupteba"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "glupteba" ascii wide nocase
$s2 = "trojan:win32/glupteba" ascii wide nocase
$s3 = "backdoor:win32/glupteba" ascii wide nocase
$s4 = "win32/glupteba" ascii wide nocase
$s5 = "trojan.glupteba" ascii wide nocase
$s6 = "glupteba botnet" ascii wide nocase
$s7 = "backdoor.win32.glupteba" 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 - Glupteba (Botnet) Execution & Triage
id: 483f1f81-e0d3-567e-a07c-2ccf3f674cc4
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Glupteba malware family. Detects firewall rule subversion, internal port
proxying, and command-and-control keepalive polling indicative of botnet nodes.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/glupteba
- https://malware-families-catalog.systemhelpdesk.com/defensive/botnet-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.botnet
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1071_001
- attack.t1068
- attack.t1562_001
- attack.t1496
- attack.t1555_003
logsource:
category: process_creation
product: windows
detection:
selection_process:
Image|endswith:
- \netsh.exe
- \route.exe
- \arp.exe
- \ping.exe
CommandLine|contains:
- advfirewall firewall add rule
- netsh interface portproxy
- ping -n 1 127.0.0.1
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_GLUPTEBA_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Glupteba 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 = "glupteba" 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
}
References & External Analysis
- Google Threat Analysis Group (TAG) - Disrupting the Glupteba Botnet
- CISA Advisory - Multi-Platform Botnet Threats: Glupteba
- Trend Micro Research - The Glupteba Botnet: An In-Depth Look at Blockchain-Enabled Malware
- CISA Advisory: https://www.cisa.gov
- Search "glupteba" on VirusTotal (External Analysis)
- Search "glupteba" on Any.Run (Sandbox Sandbox)
- Search "glupteba" 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: https://www.cisa.gov ↗
Frequently Asked Questions
What is the Glupteba botnet?
Glupteba is a sophisticated modular botnet that conducts cryptocurrency mining, steals credentials, sells proxy routing, and abuses the Bitcoin blockchain for C2 communication.
How does Glupteba abuse the Bitcoin blockchain for command and control?
Glupteba queries public Bitcoin blockchain transactions, extracting encoded C2 domain names and IP addresses embedded within OP_RETURN output fields.
How was the Glupteba botnet disrupted by Google?
In December 2021, Google's Threat Analysis Group (TAG) obtained a federal court order to seize key domains and infrastructure, disrupting millions of infected nodes.
What is Bring Your Own Vulnerable Driver (BYOVD) as used by Glupteba?
Glupteba drops legitimately signed third-party drivers with known security flaws to gain kernel-mode privileges and forcefully terminate antivirus software.
How can organizations protect against Glupteba infections?
Block known vulnerable driver hashes via Microsoft Driver Blocklist, monitor for unauthorized Monero mining, patch MikroTik routers, and deploy behavioral EDR agents.
How do I remove the Glupteba Botnet from Windows?
Manual removal of Glupteba 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 Glupteba a virus or a Botnet?
Glupteba is classified as a Botnet. Unlike traditional viruses that infect files, modern malware like Glupteba typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.
What are the main symptoms of a Glupteba infection?
Symptoms of Glupteba 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 Botnets
Want to prevent Glupteba and similar threats from compromising your organization? Read our comprehensive defensive guide: Botnet Protection & Remediation.
📣 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/glupteba.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.