Dorkbot

Category: botnet · Aliases: Worm:Win32/Dorkbot, NgrBot, Backdoor.Win32.NgrBot, W32/Dorkbot.worm, Trojan.Dorkbot · Sample count (EMBER 2018): 86 · Enrichment: curated_sourced · Updated: 2026-10-14
Category: BotnetStatus: Automated SignaturePlatform: WINDOWS_PEStage: Command And Control, Network DenialFirst seen: 2011Actor: Unknown / CybercriminalIndustry: Global / OpportunisticMotivation: Financial Theft🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows 7
Executive Summary
Dorkbot (also tracked across intelligence communities as NgrBot and Worm:Win32/Dorkbot) is a notorious multi-vector worm and modular botnet family that infected over one million endpoints across 190 countries between 2011 and its international coordinated disruption by the FBI, Microsoft, DHS CISA, and international law enforcement.

Table of Contents

Overview

Dorkbot (also tracked across intelligence communities as NgrBot and Worm:Win32/Dorkbot) is a notorious multi-vector worm and modular botnet family that infected over one million endpoints across 190 countries between 2011 and its international coordinated disruption by the FBI, Microsoft, DHS CISA, and international law enforcement. Formally documented under CISA Technical Alert TA15-337A, Dorkbot leverages aggressive social-engineering propagation over Skype, Windows Live Messenger, Facebook Chat, Twitter, and removable USB drives weaponizing shortcut (.LNK) vulnerabilities. Once established, Dorkbot connects via encrypted IRC or HTTP protocols to cybercriminal command-and-control servers, enabling adversaries to execute arbitrary commands, harvest banking credentials and FTP logins through web browser form grabbing, conduct high-volume Distributed Denial of Service (DDoS) SYN and UDP floods, and deploy secondary malware loaders including ransomware and cryptocurrency miners.

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: Irc Botnet Frameworks

Known Derivatives & Downstream Variants: Ngrbot · Dorkbot.A · Dorkbot.B · Dorkbot.D

MITRE ATT&CK Techniques

Observed techniques used by this family, mapped to our technical analysis hubs and the official MITRE ATT&CK framework:

→ 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-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-RMCRemovable Media Access ControlHardenT1091Enforce Group Policy settings disabling Windows autorun and block execution permissions on removable USB storage media.
D3-MitBAMan-in-the-Browser AnalysisDetectT1185Deploy browser extension whitelisting and hardware-backed session binding to prevent rogue DOM and socket injection.
D3-TRTraffic Rate LimitingIsolateT1498Deploy BGP Flowspec and edge scrubbing proxies to automatically throttle volumetric SYN and UDP reflection attacks.
D3-STASecurity Tool Anti-Tamper EnforcementHardenT1562.001Block unauthorized modification of antivirus registry flags and prevent stopping security agent services.

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_DORKBOT_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Dorkbot"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "dorkbot" ascii wide nocase
        $s2 = "worm:win32/dorkbot" ascii wide nocase
        $s3 = "ngrbot" ascii wide nocase
        $s4 = "backdoor.win32.ngrbot" ascii wide nocase
        $s5 = "w32/dorkbot.worm" ascii wide nocase
        $s6 = "trojan.dorkbot" 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 - Dorkbot (Botnet) Execution & Triage
id: 3834b61b-21c6-564f-82ec-a7e5281a8fa5
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Dorkbot 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/dorkbot
- 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.t1091
- attack.t1185
- attack.t1071_001
- attack.t1056_001
- attack.t1498
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_DORKBOT_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Dorkbot 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 = "dorkbot" 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)

Containment & Response Steps

Home Users: If you suspect a malware infection on your personal device, disconnect from the internet immediately and run a full system scan with your antivirus software (see our TotalAV Antivirus & Security Support Guide). The steps below are intended for IT professionals responding to enterprise incidents.

Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.

  1. Isolate compromised hosts from corporate networks to block active IRC/HTTP command channel communications.
  2. Disable Windows Autorun/Autoplay and enforce strict application whitelisting on removable USB storage media.
  3. Reset all user enterprise credentials, financial portal passwords, and FTP authentication tokens from clean endpoints.
  4. Deploy endpoint detection signatures to purge Dorkbot registry persistence and memory-injected thread artifacts.

What to Avoid

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

  1. Do not insert untrusted USB drives into administrative or management workstations without air-gapped forensic inspection.
  2. Avoid navigating to links received through instant messaging or social media without out-of-band sender verification.

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: TA15-337A ↗

Frequently Asked Questions

What is Dorkbot and who tracked its operations?

Dorkbot is an IRC/HTTP modular botnet and worm formally documented by CISA in Alert TA15-337A following coordinated international law enforcement action.

What propagation vectors does Dorkbot use to compromise endpoints?

Dorkbot spreads via malicious links on instant messaging applications, social platforms, and infected USB thumb drives exploiting CVE-2010-2568 LNK flaws.

What data does the Dorkbot malware steal from infected systems?

Dorkbot harvests banking credentials, online payment logins, web form entries, FTP accounts, and cached browser passwords via API hooking.

Which CVE vulnerabilities are weaponized by Dorkbot campaigns?

Dorkbot campaigns exploit CVE-2010-2568 for USB LNK code execution and CVE-2012-0158 in malicious Microsoft Office email attachments.

How did Microsoft and law enforcement dismantle Dorkbot infrastructure?

In December 2015, Microsoft, DHS CISA, Europol, and the FBI executed a coordinated sinkholing operation neutralizing Dorkbot's core C2 domains.

How do I remove Dorkbot from Windows?

Manual removal of Dorkbot 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 Dorkbot a virus or a Botnet?

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

What are the main symptoms of a Dorkbot infection?

Symptoms of Dorkbot 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 Dorkbot 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.

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/dorkbot.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.