CVE-2026-11551

June 20, 2026, 12:16 a.m.

9.8
Critical

Description

The Branda plugin for WordPress is vulnerable to privilege escalation via account takeover in all versions up to, and including, 3.4.29. This is due to the plugin not properly validating a user's identity prior to updating their password. This makes it possible for unauthenticated attackers to change arbitrary user's passwords, including administrators, and leverage that to gain access to their account.

Product(s) Impacted

Vendor Product Versions
Branda
  • Plugin
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-640
Weak Password Recovery Mechanism for Forgotten Password
The product contains a mechanism for users to recover or change their passwords without knowing the original password, but the mechanism is weak.

*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 branda plugin / / / / / wordpress / /

References

https://plugins.trac.wordpress.org/browser/branda-white-labeling/tags/3.4.29/inc/modules/login-screen/signup-password.php#L232
https://plugins.trac.wordpress.org/changeset/3568291/branda-white-labeling/trunk/inc/modules/login-screen/signup-password.php
https://www.wordfence.com/threat-intel/vulnerabilities/id/56f13af3-71b6-42d4-9fda-a75778f32091?source=cve

Tags

[email protected]
CWE-640
2026-06-20
CVE-2026-11551

CVSS Score

9.8 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH

    • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: June 20, 2026, 12:16 a.m.
Last Modified: June 20, 2026, 12:16 a.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

[email protected]

*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.