CVE-2026-7802

May 28, 2026, 1:45 p.m.

8.8
High

Description

The Frontend Admin by DynamiApps plugin for WordPress is vulnerable to authorization bypass in all versions up to, and including, 3.29.2. This is due to the plugin not properly verifying that a user is authorized to perform an action. This makes it possible for authenticated attackers, with subscriber-level access and above, to overwrite an administrator's user_pass, user_email, first_name, last_name, and other profile fields by supplying an arbitrary ?user_id= value, enabling full administrator account takeover via direct password replacement or email-redirect password reset. Exploitation requires the targeted Edit-User form to have its 'Roles' configuration setting left empty; when a non-empty roles list is configured, load_data() sets the user ID to 'none' for users whose roles fall outside the allowed list, preventing administrators from being targeted through that form.

Product(s) Impacted

Vendor Product Versions
Dynamiapps
  • Frontend Admin
  • *

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 dynamiapps frontend_admin / / / / / wordpress / /

References

CVSS Score

8.8 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: May 28, 2026, 5:16 a.m.
Last Modified: May 28, 2026, 1:45 p.m.

Status : Deferred

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

More info

*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.