Benjamin
Table of Contents
Overview
Benjamin (cataloged across antivirus vendors as Worm:Win32/Benjamin.A, W32.Benjamin.Worm, and P2P-Worm.Win32.Benjamin) is an infamous legacy peer-to-peer (P2P) network worm first identified in 2002. Specifically engineered to exploit decentralized file-sharing ecosystems—most notably KaZaA, Grokster, and the FastTrack network—Benjamin propagates by turning infected endpoints into high-volume distribution hubs for the worm. Upon initial execution, typically disguised as a cracked software utility, popular game patch, or multimedia archive, Benjamin copies its core executable into the Windows System folder and secures persistence through the Windows Registry Run key. It then scans local storage for designated P2P shared folders (such as 'My Shared Folder'). Once identified, the worm duplicates itself thousands of times into the shared directory, dynamically forging enticing filenames that match the most frequently queried search terms across the P2P network, exhausting local disk storage and launching distributed denial-of-service (DoS) traffic against targeted Spanish commercial servers.
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: P2P Network Worm Architecture · Fasttrack Shared Folder Flooder
Known Derivatives & Downstream Variants: Benjamin.A · Benjamin.B · Benjamin!Rfn
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:
- T1036.004: Monitor for executable files running from unusual paths or with deceptive names. Use EDR to detect process masquerading.
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-PMA | Process Lineage & Masquerade Analysis | Detect | T1036.004 | Verify digital code-signing signatures and compare executable paths against known Windows binaries. |
D3-FDA | File Directory Access Auditing | Detect | T1083 | Audit and alert on high-frequency recursive directory queries executed by non-system and unclassified binaries. |
D3-FEA | File Execution Analysis | Harden | T1204.002 | Enforce AppLocker and Windows Defender Application Control (WDAC) to block executable launches from temporary and user-writable directories. |
D3-TR | Traffic Rate Limiting | Isolate | T1498 | Deploy BGP Flowspec and edge scrubbing proxies to automatically throttle volumetric SYN and UDP reflection attacks. |
D3-RPM | Registry Persistence Monitoring | Detect | T1547.001 | Audit and restrict write privileges to user and machine-level Registry Run/RunOnce keys using Endpoint Privilege Management. |
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.
c1a3e5b7d9f1a3c5e7b9d1f3a5c7e9b1d3f5a7c9e1b3d5f7a9c1e3b5d7f9a1c3d2b4f6a8c0e2b4d6f8a0c2e4b6d8f0a2c4e6b8d0f2a4c6e8b0d2f4a6c8e0b2d4
Delivery vectors
Deceptive executable downloads on FastTrack and KaZaA P2P file-sharing networksMasqueraded media and game crack files
Persistence mechanisms
HKCU\Software\Microsoft\Windows\CurrentVersion\Run\explorer32%WINDIR%\system\explorer32.exe
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_BENJAMIN_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Benjamin"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "benjamin" ascii wide nocase
$s2 = "worm:win32/benjamin.a" ascii wide nocase
$s3 = "w32.benjamin.worm" ascii wide nocase
$s4 = "p2p-worm.win32.benjamin" ascii wide nocase
$s5 = "i-worm.benjamin" ascii wide nocase
$s6 = "w32/benjamin.worm" 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 - Benjamin (Worm) Execution & Triage
id: ba74af47-4fc7-515e-99a7-362f20ae25f9
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Benjamin 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/benjamin
- 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.t1204_002
- attack.t1547_001
- attack.t1036_004
- attack.t1083
- attack.t1498
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_BENJAMIN_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Benjamin 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 = "benjamin" 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.
- Terminate active P2P client software (KaZaA, eMule, torrent clients) immediately to halt worm distribution.
- Inspect designated P2P shared folders and delete thousands of identically sized generated executable files.
- Audit HKCU and HKLM Registry Run keys to remove unauthorized worm startup keys (e.g., explorer32).
- Execute a full endpoint antivirus scan to detect and remove the root worm dropper from the Windows directory.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Do not execute software setups, cracks, or media files downloaded from unverified peer-to-peer file-sharing networks.
- Avoid sharing root directories or unmonitored folders on peer-to-peer file-sharing applications.
References & External Analysis
- Microsoft Defender Security Intelligence - Worm:Win32/Benjamin
- F-Secure Threat Description - W32/Benjamin.worm
- Kaspersky Threat Intelligence - P2P-Worm.Win32.Benjamin
- Search "benjamin" on VirusTotal (External Analysis)
- Search "benjamin" on Any.Run (Sandbox Sandbox)
- Search "benjamin" on MalwareBazaar (Malware Samples)
Frequently Asked Questions
What is the Benjamin worm family?
Benjamin is a historic Windows P2P worm that propagates by flooding file-sharing shared folders with thousands of disguised copies.
Which file-sharing networks did Benjamin target?
It targeted decentralized FastTrack P2P clients, predominantly KaZaA, Grokster, and Morpheus.
How did Benjamin lure users into downloading it?
It dynamically generated fake filenames mimicking popular games, movie titles, and pirated software cracks.
What system damage was caused by Benjamin?
It consumed gigabytes of local storage with duplicate files and degraded network bandwidth with P2P uploads.
How can a Benjamin worm infection be remediated?
Purge all duplicate executables in P2P shared folders, remove registry run entries, and run a complete antivirus scan.
What are the main symptoms of a Benjamin infection?
Symptoms of Benjamin 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 Benjamin 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/benjamin.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.