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DLL hijacking (Dynamic Link Library hijacking) is a software exploitation technique where an attacker tricks an application into loading a malicious DLL file instead of a legitimate one. This occurs because many applications search for required DLLs in predictable directories without verifying their integrity or origin. By placing a rogue DLL in a higher-priority location, attackers can execute arbitrary code under the context of the targeted application.
This technique is widely used in post-exploitation, privilege escalation, and persistence attacks, particularly in Windows environments.
Applications rely on DLLs to modularize functionality. When a program runs, it follows a predefined search order to locate these DLL files. If a malicious DLL is placed in a directory that is searched before the legitimate one, the application unknowingly loads it.
Common attack flow:
| Priority | Location Checked | Risk Level |
|---|---|---|
| 1 | Application directory | High |
| 2 | System directories (System32, etc.) | Medium |
| 3 | Windows directory | Medium |
| 4 | Current working directory | High |
| 5 | PATH environment directories | Medium |
Misconfigurations in this search order are the root cause of Dynamic Link Library hijacking vulnerabilities.
DLL hijacking is particularly effective because it:
Attackers often combine this type of hijacking with phishing or lateral movement techniques to expand access across enterprise networks.
Organizations can mitigate risks through layered security controls:
What is DLL hijacking in simple terms?
It is when a malicious file replaces or mimics a legitimate DLL, causing a program to run harmful code instead of intended functions.
Is DLL hijacking the same as DLL injection?
No. It manipulates the loading process, while DLL injection forcibly inserts code into a running process.
Which systems are most vulnerable?
Windows-based systems are most commonly targeted due to their DLL dependency and search order behavior.
Can antivirus detect DLL hijacking?
Traditional antivirus may miss it. Behavior-based detection and endpoint security solutions are more effective in identifying such attacks.