CVE-2026-8502
June 6, 2026, 4:17 a.m.
5.3
Medium
Description
The LearnPress – WordPress LMS Plugin for Create and Sell Online Courses plugin for WordPress is vulnerable to Sensitive Information Exposure in all versions up to, and including, 4.3.6 via the 'return_type' parameter. This makes it possible for unauthenticated attackers to extract sensitive data including the plaintext post_password of password-protected courses and the full post_content, post_author, and post_name of unpublished draft, private, and pending courses via the unrestricted SELECT * fallback query. Exploitation requires supplying both c_status=all (to bypass the publish-only post_status WHERE clause) and return_type=json (to prevent the safe DISTINCT(ID) AS ID field override) in a single unauthenticated request to the /wp-json/lp/v1/courses/archive-course endpoint.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Wordpress |
|
|
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 | wordpress | learnpress | / | / | / | / | / | wordpress | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: LOW
- Integrity Impact: NONE
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Timeline
Published: June 6, 2026, 4:17 a.m.
Last Modified: June 6, 2026, 4:17 a.m.
Last Modified: June 6, 2026, 4:17 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.