CVE-2026-2892
April 30, 2026, 2:52 p.m.
7.5
High
Description
The Otter Blocks plugin for WordPress is vulnerable to Purchase Verification Bypass in all versions up to, and including, 3.1.4. This is due to the 'get_customer_data' method relying on an unsigned 'o_stripe_data' cookie to determine Stripe product ownership for unauthenticated users. The 'check_purchase' method trusts this cookie data without performing server-side verification against the Stripe API for one-time 'payment' mode purchases. This makes it possible for unauthenticated attackers to bypass Stripe purchase-gated content visibility conditions by forging the 'o_stripe_data' cookie with a target product ID, which is publicly exposed in the checkout block's HTML source.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Wordpress |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-285
Improper Authorization
The product does not perform or incorrectly performs 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 | otter_blocks | 3.1.4 | / | / | / | / | wordpress | / | / |
| a | wordpress | otter_blocks | / | / | / | / | / | wordpress | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: NONE
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Timeline
Published: April 30, 2026, 2:16 p.m.
Last Modified: April 30, 2026, 2:52 p.m.
Last Modified: April 30, 2026, 2:52 p.m.
Status : Deferred
When a CVE is given this status the NVD does not plan analyze or re-analyze this CVE due to resource or other concerns.
More infoSource
*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.