CVE-2025-25089: 
WordPress vulnerability analysis and mitigation

Overview

CVE-2025-25089 is a Cross-site Scripting (XSS) vulnerability discovered in the WordPress Image Rotator plugin versions 2.0 and below. The vulnerability was discovered by Dimas Maulana on October 30, 2024, and was officially published on February 3, 2025. The vulnerability stems from improper neutralization of input during web page generation, allowing for reflected XSS attacks (Patchstack).

Technical details

The vulnerability is classified as CWE-79 (Improper Neutralization of Input During Web Page Generation) and has received a CVSS v3.1 base score of 7.1 (HIGH). The CVSS vector string is CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:L, indicating that the vulnerability can be exploited remotely, requires low attack complexity, needs no privileges, but does require user interaction (NVD).

Impact

The vulnerability could allow malicious actors to inject malicious scripts, including redirects, advertisements, and other HTML payloads into affected websites. These injected scripts would be executed when guests visit the compromised site. The impact is particularly concerning as the software is considered abandoned, having not received updates for over a year (Patchstack).

Exploitability

The vulnerability is classified as unauthenticated, meaning it can be exploited without requiring authentication to the WordPress site. While the vulnerability has a low severity impact and is considered unlikely to be exploited, the fact that it requires no authentication increases its potential risk (Patchstack).

Mitigation and workarounds

As there is no official fix available, the recommended mitigation strategy is to remove and replace the Image Rotator plugin. Patchstack has issued a virtual patch to mitigate this issue by blocking potential attacks until an official fix becomes available. Website owners can also implement the Patchstack security solution for automatic vulnerability mitigation (Patchstack).

Additional resources


Source: This report was generated using AI

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