CVE-2026-12238
June 19, 2026, 7:16 p.m.
5.3
Medium
Description
The WP Go Maps – Most Popular Map Plugin plugin for WordPress is vulnerable to authorization bypass in all versions up to, and including, 10.1.01. This is due to the plugin not properly verifying that a user is authorized to perform an action. This makes it possible for unauthenticated attackers to create arbitrary records in plugin database tables (maps, markers, circles, polygons, polylines, rectangles, and point labels) by supplying a WPGMZA-namespaced CRUD-backed class name via the phpClass parameter. The namespace validation check (requiring the 'WPGMZA' prefix) does not prevent exploitation because classes such as WPGMZA\Map and WPGMZA\Marker satisfy it while still triggering an INSERT into the corresponding plugin table before the route rejects the request.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Wordpress |
|
|
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 | wp_go_maps | / | / | / | / | / | wordpress | / | / |
Tags
CVSS Score
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
Timeline
Published: June 19, 2026, 7:16 p.m.
Last Modified: June 19, 2026, 7:16 p.m.
Last Modified: June 19, 2026, 7:16 p.m.
Status : Received
CVE has been recently published to the CVE List and has been received by the NVD.
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.