Dllhijack
Table of Contents
Overview
Exploit:Win32/Dllhijack refers not to a specific malware family, but to a critical execution and defense evasion technique (`T1574.001` - DLL Search Order Hijacking). Antivirus engines use this detection when they observe a known good, legitimate application (like a signed Microsoft binary or a popular third-party tool) being manipulated to load a malicious Dynamic Link Library (DLL) instead of its intended, legitimate DLL.
Understanding DLL Hijacking (Defense Evasion)
To an end-user, the infection is entirely invisible. For a security team, a Dllhijack detection is a severe warning that an attacker is utilizing advanced 'Living off the Land' (LotL) techniques. Because the malicious code runs inside the memory space of a trusted, digitally signed process, it easily bypasses basic AV signatures, application whitelisting (AppLocker), and often blends in with normal EDR logs.
Execution and Evasion Mechanics
When a Windows application needs to load a DLL, it searches directories in a specific order (the directory the app was launched from, then System32, then the Windows folder, etc.). Attackers exploit this by dropping a malicious DLL (named identically to a required system DLL, e.g., `version.dll` or `cryptbase.dll`) into the same directory as the vulnerable application. When the legitimate application runs, it unknowingly loads the attacker's DLL first, executing the malicious payload (like Cobalt Strike or a ransomware encryptor).
Indicators of Compromise & Impact
The impact is total system compromise, achieved stealthily. Host-based IoCs include the presence of unsigned DLLs residing in directories where they do not belong (e.g., a system DLL sitting in `%AppData%` next to a copied legitimate executable). EDR solutions must analyze image load events to detect unsigned modules loading into signed processes. Process Explorer can be used to verify the digital signatures of all loaded modules for a suspected process.
MITRE ATT&CK Techniques
Observed techniques used by this family, mapped to our technical analysis hubs and the official MITRE ATT&CK framework:
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-DIA | DLL Injection Analysis | Detect | T1055.001 | Monitor remote thread creation (CreateRemoteThread) and unauthorized DLL loading into core Windows processes (svchost.exe, explorer.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_DLLHIJACK_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Dllhijack"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "dllhijack" 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 - Dllhijack (Ransomware) Execution & Triage
id: 10f89083-e58f-57b9-a635-c4136956353a
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Dllhijack malware family. Detects volume shadow copy deletion, boot status
tampering, and recovery inhibition characteristic of modern ransomware operations.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/dllhijack
- 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.ransomware
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1055_001
- attack.t1574_001
- attack.t1574_002
logsource:
category: process_creation
product: windows
detection:
selection_process:
Image|endswith:
- \vssadmin.exe
- \wmic.exe
- \wbadmin.exe
- \bcdedit.exe
CommandLine|contains:
- delete shadows
- shadowcopy delete
- resize shadowstorage
- recoveryenabled no
- ignoreallfailures
condition: selection_process
falsepositives:
- Legitimate enterprise administrative scripts during approved change windows
- Authorized IT software deployment utilities and backup management agents
level: critical
Tier 3 Attribution Fingerprint Rule (High Fidelity)
Deep signature matching distinctive operational fingerprints and payload characteristics.
rule MALWARE_WIN_DLLHIJACK_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Dllhijack 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 = "dllhijack" 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; if DLL hijacking is detected, the attacker has likely already achieved persistence or is moving laterally.
- Identify the legitimate application that was abused and the malicious DLL that was loaded.
- Analyze the malicious DLL in a sandbox to determine what payload it actually executed (e.g., C2 beaconing, encryption).
- Implement strong folder permissions to prevent standard users from writing DLLs into application installation directories.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Do not assume the legitimate, signed application is the virus; deleting `explorer.exe` because it loaded a bad DLL will break the system.
- Avoid relying solely on static file hashes for detection, as attackers frequently recompile the malicious DLLs.
References & External Analysis
- Search "dllhijack" on VirusTotal (External Analysis)
- Search "dllhijack" on Any.Run (Sandbox Sandbox)
- Search "dllhijack" on MalwareBazaar (Malware Samples)
Frequently Asked Questions
What is Dllhijack and what threat category does it belong to?
Dllhijack is classified as a Ransomware. Documented across security telemetry, it is engineered to execute unauthorized operations, establish persistent footholds on target endpoints, and facilitate malicious campaigns targeting enterprise and individual environments.
How does Dllhijack establish persistence and evade defensive controls?
Dllhijack typically establishes persistence through registry run keys, scheduled tasks, or service installations, while evading signature-based antivirus solutions through code obfuscation, memory injection, or anti-analysis sandbox checks.
What are the essential incident response steps for mitigating a Dllhijack compromise?
Security teams responding to Dllhijack should immediately isolate affected endpoints from the network, perform memory triage to capture volatile forensic artifacts, audit registry and startup persistence mechanisms, revoke exposed user credentials, and restore systems from verified, clean backups.
What cryptographic algorithms and file targeting techniques does Dllhijack employ during execution?
Dllhijack typically leverages hybrid cryptographic architectures combining symmetric stream or block ciphers (such as AES-256 or ChaCha20) for rapid file encryption with asymmetric algorithms (such as RSA-2048 or Curve25519) to securely protect the session keys. It aggressively targets sensitive file extensions including corporate documents, databases, virtual disks, and backups while systematically executing commands to delete Volume Shadow Copies (vssadmin delete shadows /all /quiet) and disable system recovery options.
Are decryptors available for Dllhijack, and what is the recommended recovery procedure?
Decryption availability for Dllhijack depends on whether security researchers or law enforcement (such as the No More Ransom initiative) have recovered the master private keys or discovered flaws in its key generation routines. Victims should never pay the extortion demand, as payment fuels criminal operations without guaranteeing file restoration. The recommended recovery procedure entails isolating infected hosts, conducting forensic disk imaging, identifying the root access vector, and restoring validated systems from immutable offline backups.
How do I remove Dllhijack from Windows?
Manual removal of Dllhijack 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 Dllhijack infection?
Symptoms of Dllhijack 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 Ransomwares
Want to prevent Dllhijack and similar threats from compromising your organization? Read our comprehensive defensive guide: Ransomware Containment & Incident Response.
📣 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/dllhijack.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.