CVE-2025-53093
PHP vulnerability analysis and mitigation

Overview

TabberNeue, a MediaWiki extension that enables tab creation functionality, contains a cross-site scripting (XSS) vulnerability identified as CVE-2025-53093. The vulnerability affects versions 3.0.0 through 3.1.1, where any user can insert arbitrary HTML into the DOM by injecting a payload into any allowed attribute of the tag. The vulnerability was discovered and disclosed on June 27, 2025 (GitHub Advisory, Wiz).

Technical details

The vulnerability stems from insufficient validation of attribute values in the TabberComponentTabs class. While the code uses Sanitizer::validateTagAttributes for validation, this only discards unsafe attributes and re-encodes invalid IDs but doesn't properly escape attribute values before HTML insertion. The issue occurs specifically in the template rendering process where unescaped values are directly inserted into the DOM. The vulnerability has been assigned a CVSS v3.1 base score of 8.6 (HIGH) with a vector string of CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L, indicating it can be exploited remotely without requiring privileges or user interaction (GitHub Advisory, Wiz).

Impact

The vulnerability allows any user to inject arbitrary HTML into the DOM, enabling JavaScript code execution in the context of other users' browsers. This could lead to high confidentiality impact through potential data theft, along with low integrity and availability impacts. The cross-site scripting vulnerability could be used to steal session tokens, manipulate page content, or perform actions on behalf of other users (GitHub Advisory, Wiz).

Mitigation and workarounds

The vulnerability has been patched in version 3.1.1 of TabberNeue. The fix involves properly escaping attributes in mustache templates, as implemented in commit 4cdf217ef96da74a1503d1dd0bb0ed898fc2a612. Users are strongly advised to upgrade to version 3.1.1 or later to address this security issue (GitHub Advisory, Wiz).

Additional resources


SourceThis report was generated using AI

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