CVE-2026-5234

April 17, 2026, 5:16 a.m.

5.3
Medium

Description

The LatePoint plugin for WordPress is vulnerable to Insecure Direct Object Reference in all versions up to, and including, 5.3.2. The vulnerability exists because the OsStripeConnectController::create_payment_intent_for_transaction action is registered as a public action (no authentication required) and loads invoices by sequential integer invoice_id without any access_key or ownership verification. This is in contrast to other invoice-related actions (view_by_key, payment_form, summary_before_payment) in OsInvoicesController which properly require a cryptographic UUID access_key. This makes it possible for unauthenticated attackers to enumerate valid invoice IDs via an error message oracle, create unauthorized transaction intent records in the database containing sensitive financial data (invoice_id, order_id, customer_id, charge_amount), and on sites with Stripe Connect configured, the response also leaks Stripe payment_intent_client_secret tokens, transaction_intent_key values, and payment amounts for any invoice.

Product(s) Impacted

Vendor Product Versions
Wordpress
  • Latepoint Plugin
  • *

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

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: April 17, 2026, 5:16 a.m.
Last Modified: April 17, 2026, 5:16 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.