CVE-2026-6400
May 20, 2026, 1:54 p.m.
4.3
Medium
Description
The Child Height Predictor by Ostheimer plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to and including 1.3. This is due to missing nonce verification in the options() function, which handles plugin settings updates. The form template does not include a wp_nonce_field() call, and the handler never calls check_admin_referer() or wp_verify_nonce(). This makes it possible for unauthenticated attackers to trick a site administrator into clicking a link or visiting a malicious page that submits a forged POST request, causing unauthorized changes to the plugin settings such as unit preferences to be persisted to the database via update_option().
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Wordpress |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-352
Cross-Site Request Forgery (CSRF)
The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request.
*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 | child_height_predictor | / | / | / | / | / | wordpress | / | / |
References
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:R/S:U/C:N/I:L/A:N
Timeline
Published: May 20, 2026, 2:16 a.m.
Last Modified: May 20, 2026, 1:54 p.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 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.