CVE-2026-4328

June 19, 2026, 6:17 a.m.

6.4
Medium

Description

The Advanced Import plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 1.4.6. This is due to the plugin using wp_remote_get() to fetch a user-supplied URL without validating that the URL does not point to internal or private network resources in the demo_download_and_unzip() function. The 'demo_file' parameter from $_POST is passed through sanitize_text_field() (which only handles XSS-related sanitization) and then directly into wp_remote_get() when 'demo_file_type' is set to 'url'. Notably, the plugin uses wp_safe_remote_get() in other locations (theme template libraries) which would provide SSRF protection, but fails to use it in this critical AJAX handler. This makes it possible for authenticated attackers, with Author-level access and above (upload_files capability), to make web requests to arbitrary locations originating from the web application, which can be used to query and view data from internal services, including cloud instance metadata endpoints.

Product(s) Impacted

Vendor Product Versions
Wordpress
  • Advanced Import
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-918
Server-Side Request Forgery (SSRF)
The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination.

CVSS Score

6.4 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: June 19, 2026, 6:17 a.m.
Last Modified: June 19, 2026, 6:17 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.