CVE-2025-10488

Oct. 25, 2025, 7:15 a.m.

8.1
High

Description

The Directorist: AI-Powered Business Directory Plugin with Classified Ads Listings plugin for WordPress is vulnerable to arbitrary file move due to insufficient file path validation in the add_listing_action AJAX action in all versions up to, and including, 8.4.8. This makes it possible for unauthenticated attackers to move arbitrary files on the server, which can easily lead to remote code execution when the right file is moved (such as wp-config.php).

Product(s) Impacted

Vendor Product Versions
Directorist
  • Ai-powered Business Directory Plugin
  • *
Wordpress
  • Wordpress
  • *

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.

*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 directorist ai-powered_business_directory_plugin / / / / / wordpress / /
a wordpress wordpress / / / / / / / /

CVSS Score

8.1 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: Oct. 25, 2025, 7:15 a.m.
Last Modified: Oct. 25, 2025, 7:15 a.m.

Status : Received

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.