CVE-2026-3499

April 8, 2026, 9:26 p.m.

8.8
High

Description

The Product Feed PRO for WooCommerce by AdTribes – Product Feeds for WooCommerce plugin for WordPress is vulnerable to Cross-Site Request Forgery in versions 13.4.6 through 13.5.2.1. This is due to missing or incorrect nonce validation on the ajax_migrate_to_custom_post_type, ajax_adt_clear_custom_attributes_product_meta_keys, ajax_update_file_url_to_lower_case, ajax_use_legacy_filters_and_rules, and ajax_fix_duplicate_feed functions. This makes it possible for unauthenticated attackers to trigger feed migration, clear custom-attribute transient caches, rewrite feed file URLs to lowercase, toggle legacy filter and rule settings, and delete duplicated feed posts 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
Adtribes
  • Product Feed Pro
  • 13.4.6-13.5.2.1

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 adtribes product_feed_pro 13.4.6-13.5.2.1 / / / / wordpress / /

CVSS Score

8.8 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: April 8, 2026, 2:16 a.m.
Last Modified: April 8, 2026, 9:26 p.m.

Status : Awaiting Analysis

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.