CVE-2026-104012 (GCVE-0-2026-104012)
Vulnerability from cvelistv5 – Published: 2026-10-31 07:46 – Updated: 2026-11-02 14:51
VLAI
EPSS
VEX
Title
Rox Appointment Booking <= 1.3.1 - Unauthenticated Privilege Escalation via Mass Assignment to Mass Assignment via '/public/booking' Endpoint
Summary
The Rox Appointment Booking – Appointment Booking Scheduling Solution plugin for WordPress is vulnerable to Privilege Escalation via Mass Assignment in all versions up to, and including, 1.3.1 This is due to the public `/rox-appointment-booking/v1/public/booking` REST endpoint performing mass-assignment of the raw request body into a new customer row while `CustomerModel::$fillable` includes the internal `wp_user_id` column, allowing an unauthenticated attacker to persist an arbitrary WordPress user ID alongside an attacker-controlled email address with no authorization check. When an administrator subsequently opens the poisoned customer record and clicks Update Customer, `SaveCustomer::handleRequest()` passes the stored `wp_user_id` and attacker-supplied email to `wp_update_user()` — succeeding because `LinkedAccount::canChange()` unconditionally returns true when the acting user holds the `edit_users` capability — thereby overwriting the targeted administrator's email address and enabling full account takeover via a standard WordPress password-reset request. Successful exploitation requires an administrator to open and save the poisoned record, and the attacker must know or guess a valid administrator user ID (such as the default user ID 1).
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-11-02 14:50 UTC
CWE
- CWE-269 - Improper Privilege Management
Assigner
References
6 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| roxnor | Rox Appointment Booking – Event, Calendar & Appointment Scheduling |
Affected:
0 , ≤ 1.3.1
(semver)
|
guessed |
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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Browse all ATT&CK techniques and the vulnerabilities related to each.
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