CVE-2026-9732
June 4, 2026, 1:53 p.m.
4.3
Medium
Description
The EmergencyWP – Dead Man's switch & legacy deliverance plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to, and including, 1.4.2. This is due to missing or incorrect nonce validation on the form_settings_ui (settings save handler, procedural include scope) function. This makes it possible for unauthenticated attackers to modify plugin settings including the minimum access role (altering WordPress role capabilities via add_cap/remove_cap), the data-erasure-on-uninstall flag, life-check timing values, the mandator email address, the confirmation page ID, and date/time formats via a forged request granted they can trick a site administrator into performing an action such as clicking on a link.
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 | emergencywp | / | / | / | / | / | 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: June 3, 2026, 12:16 a.m.
Last Modified: June 4, 2026, 1:53 p.m.
Last Modified: June 4, 2026, 1:53 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.