CVE-2026-3640

June 19, 2026, 8:16 a.m.

5.3
Medium

Description

The STRABL – A checkout solution plugin for WordPress is vulnerable to Missing Authentication in all versions up to and including 4.5. The plugin registers a REST API webhook endpoint at /wp-json/strabl/webhook/order with a permission_callback of __return_true, which allows all incoming requests without any authentication or authorization checks. No shared secret, signature validation, HMAC verification, or token-based authentication is implemented. This makes it possible for unauthenticated attackers to create fraudulent WooCommerce orders and mark them as completed by supplying paymentStatus=paid, manipulate existing order statuses by providing an externalOrderId, create new WordPress user accounts with the customer role, issue refunds on existing orders, cancel existing orders, and apply chargeback fees — all without making a legitimate payment or having any valid credentials.

Product(s) Impacted

Vendor Product Versions
Wordpress
  • Strabl
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-862
Missing Authorization
The product does not perform an authorization check when an actor attempts to access a resource or perform an action.

*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 wordpress strabl / / / / / wordpress / /

References

CVSS Score

5.3 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: June 19, 2026, 8:16 a.m.
Last Modified: June 19, 2026, 8:16 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.