CVE-2026-9241

May 28, 2026, 1:45 p.m.

4.3
Medium

Description

The FOX – Currency Switcher Professional for WooCommerce plugin for WordPress is vulnerable to Authorization Bypass Through User-Controlled Key in all versions up to and including 1.4.6. This is due to the `get_value()` function in `classes/fixed/fixed_user_role.php` trusting the attacker-controlled `$_REQUEST['wooc_order_user_roles']` parameter to determine the user's role context for role-based price resolution without any validation, allowing it to override the legitimate role data derived from the authenticated user's session object via `$user->roles`. This makes it possible for authenticated attackers, with Subscriber-level access and above, to impersonate higher-privileged roles — such as wholesale customer or administrator — and obtain discounted or otherwise restricted pricing that should not be available to their actual role. This vulnerability only has practical impact when the fixed user-role pricing feature is enabled and at least one product has a privileged-role price configured.

Product(s) Impacted

Vendor Product Versions
Wordpress
  • Plugin
  • fox_currency_switcher_professional

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-639
Authorization Bypass Through User-Controlled Key
The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data.

CVSS Score

4.3 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: May 28, 2026, 5:16 a.m.
Last Modified: May 28, 2026, 1:45 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.