CVE-2026-4280

April 22, 2026, 8:22 p.m.

6.5
Medium

Description

The Breaking News WP plugin for WordPress is vulnerable to Local File Inclusion in all versions up to, and including, 1.3. This is due to the brnwp_ajax_form AJAX endpoint lacking both authorization checks and CSRF verification, combined with insufficient path validation when the brnwp_theme option value is passed directly to an include() statement in the brnwp_show_breaking_news_wp() shortcode handler. While sanitize_text_field() is applied to user input, it does not strip directory traversal sequences (../). This makes it possible for authenticated attackers, with Subscriber-level access and above, to overwrite the brnwp_theme option with a directory traversal payload (e.g., ../../../../etc/passwd) and subsequently trigger file inclusion of arbitrary files on the server when the shortcode is rendered.

Product(s) Impacted

Vendor Product Versions
Wordpress
  • Breaking News Wp
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-22
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.

CVSS Score

6.5 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: April 22, 2026, 9:16 a.m.
Last Modified: April 22, 2026, 8:22 p.m.

Status : Deferred

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.