CVE-2026-3360
April 10, 2026, 2:16 a.m.
7.5
High
Description
The Tutor LMS – eLearning and online course solution plugin for WordPress is vulnerable to an Insecure Direct Object Reference in all versions up to, and including, 3.9.7. This is due to missing authentication and authorization checks in the `pay_incomplete_order()` function. The function accepts an attacker-controlled `order_id` parameter and uses it to look up order data, then writes billing fields to the order owner's profile (`$order_data->user_id`) without verifying the requester's identity or ownership. Because the Tutor nonce (`_tutor_nonce`) is exposed on public frontend pages, this makes it possible for unauthenticated attackers to overwrite the billing profile (name, email, phone, address) of any user who has an incomplete manual order, by sending a crafted POST request with a guessed or enumerated `order_id`.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Tutor Lms |
|
|
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 | tutor_lms | tutor_lms | / | / | / | / | / | 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: HIGH
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N
Timeline
Published: April 10, 2026, 2:16 a.m.
Last Modified: April 10, 2026, 2:16 a.m.
Last Modified: April 10, 2026, 2:16 a.m.
Status : Received
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.