CVE-2025-5142

May 30, 2025, 4:31 p.m.

6.5
Medium

Description

The Simple Page Access Restriction plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to, and including, 1.0.31. This is due to missing nonce validation and capability checks in the settings save handler in the settings.php script. This makes it possible for unauthenticated attackers to (1) enable or disable access protection on all post types or taxonomies, (2) force every new page/post to be public or private, regardless of meta-box settings, (3) cause a silent wipe of all plugin data when it’s later removed, or (4) to conduct URL redirection attacks via a forged request granted they can trick a site administrator into performing an action such as clicking on a link.

Product(s) Impacted

Vendor Product Versions
Wordpress
  • Simple Page Access Restriction
  • 1.0.31

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-352
Cross-Site Request Forgery (CSRF)
The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request.

*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 simple_page_access_restriction 1.0.31 / / / / / wordpress /

CVSS Score

6.5 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: May 30, 2025, 10:15 a.m.
Last Modified: May 30, 2025, 4:31 p.m.

Status : Awaiting Analysis

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

More info

Source

security@wordfence.com

*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.