Beebone
Table of Contents
Overview
Beebone (widely cataloged across security vendors as the W32.Worm.Beebone or AAEH family) is a highly aggressive, polymorphic downloader worm first identified in 2012. Engineered to act as a resilient distribution engine, Beebone specialized in dropping secondary malware payloads—including banking trojans, rootkits, fake antivirus rogueware, and ransomware—onto infected systems across corporate and consumer networks worldwide. Beebone earned a reputation for extreme polymorphism: the worm re-compiled its code and crypter multiple times per day, ensuring that endpoint antivirus signatures remained perpetually ineffective. In April 2015, Europol's European Cybercrime Centre (EC3), the FBI, the Dutch National High Tech Crime Unit (NHTCU), the Joint Cybercrime Action Taskforce (J-CAT), and private security vendors executed a coordinated global strike against the Beebone botnet. The coalition successfully sinkholed all 100 domain names generated by the worm's domain generation algorithm (DGA), eradicating its command-and-control apparatus across more than 195 nations.
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.
- Beebone Authoring Syndicate / Europol EC3 & FBI April 2015 Takedown High confidence
Basis: In April 2015, Europol EC3, the FBI, Dutch Police, and J-CAT executed a coordinated strike sinkholing all 100 DGA domains used by Beebone, ending its operations across 195 countries. [source]
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: Vbcrypt Engine
Known Derivatives & Downstream Variants: W32.Worm.Beebone (Initial Worm) · Beebone Dga Edition · Aaeh Polymorphic Dropper
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 |
|---|---|---|---|
T1568.002 | Dynamic Resolution: Domain Generation Algorithms | Command and Control | ATT&CK ↗ |
T1105 | Ingress Tool Transfer | Command and Control | ATT&CK ↗ |
T1027.002 | Obfuscated Files or Information: Software Packing | Defense Evasion | ATT&CK ↗ |
T1091 | Replication Through Removable Media | Lateral Movement | ATT&CK ↗ |
T1562.001 | Impair Defenses: Disable or Modify Tools | Defense Evasion | ATT&CK ↗ |
Tactical Mitigations
Based on the techniques used by this family, consider the following defensive strategies:
- 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):
| D3FEND ID | Countermeasure Name | Tactic | Countered ATT&CK | Defensive Guidance |
|---|---|---|---|---|
D3-EDA | Executable Deobfuscation Analysis | Detect | T1027.002 | Deploy static entropy scanners and dynamic memory-unpacking heuristics to identify obfuscated and packed PE structures. |
D3-RMC | Removable Media Access Control | Harden | T1091 | Enforce Group Policy settings disabling Windows autorun and block execution permissions on removable USB storage media. |
D3-NTI | Network Traffic Inspection | Detect | T1105 | Inspect deep packet payloads for anomalous staging binaries and unauthorized egress protocols. |
D3-STA | Security Tool Anti-Tamper Enforcement | Harden | T1562.001 | Block unauthorized modification of antivirus registry flags and prevent stopping security agent services. |
D3-DNSR | DNS Reputation Analysis | Detect | T1568.002 | Deploy recursive DNS security resolvers with algorithmic domain scoring (entropy and n-gram models) to automatically sinkhole DGA queries. |
Exploited Vulnerabilities (CVEs)
This malware family is documented weaponizing the following common vulnerabilities and exposures:
- CVE-2010-2568 — 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, Algorithmic DGA (100 domains/day) |
|---|---|
| Observed ports | 80, 443 |
| Infrastructure model | Decentralized command servers utilizing domain generation algorithms querying 100 domains daily; fully sinkholed by Europol EC3 and the Dutch National Police in April 2015. |
| Identifiable from traffic alone | Unrated |
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.
0ba91fcf3b2a3dbe16999be3a6c4b2de0a34fe9a42f36d8f5b40cf392bc6914c4de40ad749e7b2eb26d2466f10c66be91a134372a6b2cbdf7de0d6cfcf52240b
Delivery vectors
Removable USB drive worm propagation exploiting Windows Shell shortcut flaws (CVE-2010-2568)Peer-to-peer file sharing and compromised software crack distributions
Persistence mechanisms
Registry Run keys created under HKCU\Software\Microsoft\Windows\CurrentVersion\Run pointing to %APPDATA%Spawning of rogue system processes with randomized alphanumeric filenames
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_BEEBONE_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Beebone"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "beebone" ascii wide nocase
$s2 = "beebone" ascii wide nocase
$s3 = "w32.worm.beebone" ascii wide nocase
$s4 = "worm.beebone" ascii wide nocase
$s5 = "aaeh" ascii wide nocase
$s6 = "vbcrypt" 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 - Beebone (Worm) Execution & Triage
id: 9d049765-278a-5106-8530-4d6f035548ba
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Beebone 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/beebone
- 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.worm
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1091
- attack.t1055
- attack.t1071_001
- attack.t1568_002
- attack.t1547_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
Tier 3 Attribution Fingerprint Rule (High Fidelity)
Deep signature matching distinctive operational fingerprints and payload characteristics.
rule MALWARE_WIN_BEEBONE_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Beebone 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 = "beebone" 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; Beebone's presence guarantees that secondary payloads (like ransomware or banking trojans) are actively downloading.
- Sinkhole the identified DGA domains at the corporate firewall to sever Beebone's ability to receive updated payloads or commands.
- Do not attempt manual file deletion; the Beebone/Vobfus symbiotic relationship will instantly restore the deleted files.
- Given the extreme resilience and polymorphic nature of the threat, performing a clean OS rebuild is the only guaranteed method of eradication.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Do not assume the endpoint is clean if your AV quarantines a single Beebone executable; the partner worm (Vobfus) is likely still active.
- Avoid plugging any USB drives into the infected machine, as the associated Vobfus worm will immediately infect them.
References & External Analysis
- Europol Press Release - International Police Operation Takes Down Beebone Botnet
- FBI National Press Release - Beebone Botnet Dismantled
- MITRE ATT&CK - Beebone
- Search "beebone" on VirusTotal (External Analysis)
- Search "beebone" on Any.Run (Sandbox Sandbox)
- Search "beebone" on MalwareBazaar (Malware Samples)
Frequently Asked Questions
What was the Beebone worm?
Beebone (AAEH) was a polymorphic downloader worm that infected computers in over 195 countries to deliver banking trojans, ransomware, and rootkits.
How did law enforcement take down Beebone?
In April 2015, Europol, the FBI, and Dutch Police sinkholed all 100 DGA domains used by Beebone, cutting off the malware from its operators worldwide.
Why was Beebone so difficult for antivirus to detect?
Beebone used rapid server-side polymorphism, mutating its code structure multiple times per day to evade traditional static antivirus file signatures.
How did Beebone spread across networks?
Beebone spread via removable USB drives using shortcut file exploits (CVE-2010-2568), network file shares, and peer-to-peer downloads.
How can administrators prevent worm propagation like Beebone?
Disable AutoRun on all removable storage media via Group Policy, restrict write permissions on network shares, and deploy behavioral EDR monitoring.
How do I remove Beebone from Windows?
Manual removal of Beebone 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 Beebone infection?
Symptoms of Beebone 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 Worms
Want to prevent Beebone and similar threats from compromising your organization? Read our comprehensive defensive guide: Worm & Virus Protection.
📣 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/beebone.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.