CVE-2025-48828
VBulletin vulnerability analysis and mitigation

Overview

CVE-2025-48828 is a critical vulnerability affecting vBulletin versions 5.x and 6.x up to version 6.0.3. The vulnerability was discovered in May 2025 and allows attackers to execute arbitrary PHP code by abusing Template Conditionals in the template engine. The issue was officially assigned a CVE identifier on May 27, 2025, and received a CVSS v3.1 base score of 9.0 (Critical) (NVD, Wiz).

Technical details

The vulnerability stems from the ability to bypass template engine security checks by crafting template code using alternative PHP function invocation syntax, such as 'vardump'('test'). When vBulletin runs on PHP 8.1 or later, attackers can exploit this to execute arbitrary PHP code through the template engine. The vulnerability chain involves abusing the protected vBApi_Ad::replaceAdTemplate() method to create arbitrary templates that can execute malicious code (Karma Security).

Impact

The vulnerability allows unauthenticated attackers to achieve Remote Code Execution (RCE) on affected vBulletin installations. This means attackers can execute arbitrary PHP code on the target server, potentially leading to complete system compromise. The vulnerability affects multiple versions of vBulletin running on PHP 8.1 or later (Wiz).

Mitigation and workarounds

The vulnerability is believed to be fixed in vBulletin version 6.0.4 and later releases. Organizations running affected versions should upgrade to the latest version immediately. The 'protected method invocation vulnerability' component is reportedly addressed in version 6.0.4 (Karma Security).

Community reactions

Security researchers and industry experts have actively tracked and analyzed this vulnerability. The discovery prompted wider investigation into how popular PHP-based applications handle reflective method invocation, especially in custom frameworks or API layers that attempt to route requests dynamically (Karma Security).

Additional resources


SourceThis report was generated using AI

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