CVE-2026-6072

May 20, 2026, 1:54 p.m.

6.5
Medium

Description

The Oliver POS – A WooCommerce Point of Sale (POS) plugin for WordPress is vulnerable to Authorization Bypass Through User-Controlled Key in all versions up to and including 2.4.2.6. The plugin protects its entire /wp-json/pos-bridge/* REST API namespace through the oliver_pos_rest_authentication() permission callback, which uses a loose PHP comparison (==) to compare the attacker-supplied 'OliverAuth' header value against the 'oliver_pos_authorization_token' option. On fresh installations where the admin has not yet completed the connection flow, this option is unset (get_option returns false). Due to PHP's type juggling, the loose comparison '0' == false evaluates to true, allowing an unauthenticated attacker to bypass authentication by sending 'OliverAuth: 0'. This grants full access to all POS API endpoints, enabling attackers to read user data (including administrator details), update user profiles (including email addresses), and delete non-admin users. An admin account email reset can lead to site takeover.

Product(s) Impacted

Vendor Product Versions
Oliver
  • Pos
  • <2.4.2.6

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

6.5 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: May 20, 2026, 2:16 a.m.
Last Modified: May 20, 2026, 1:54 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.