CVE-2026-0693

Feb. 14, 2026, 7:16 a.m.

4.4
Medium

Description

The Allow HTML in Category Descriptions plugin for WordPress is vulnerable to Stored Cross-Site Scripting via category descriptions in all versions up to, and including, 1.2.4. This is due to the plugin unconditionally removing the `wp_kses_data` output filter for term_description, link_description, link_notes, and user_description fields without checking user capabilities. This makes it possible for authenticated attackers, with administrator-level access and above, to inject arbitrary web scripts in category descriptions that will execute whenever a user accesses a page where the category description is displayed. This only affects multi-site installations and installations where unfiltered_html has been disabled.

Product(s) Impacted

Vendor Product Versions
Wordpress
  • Allow Html In Category Descriptions
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-79
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a wordpress allow_html_in_category_descriptions / / / / / wordpress / /

CVSS Score

4.4 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Privileges Required: HIGH
  • Scope: CHANGED
  • Confidentiality Impact: LOW
  • Integrity Impact: LOW
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:C/C:L/I:L/A:N

    View Vector String

Timeline

Published: Feb. 14, 2026, 7:16 a.m.
Last Modified: Feb. 14, 2026, 7:16 a.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.