CVE-2026-33702
April 10, 2026, 7:16 p.m.
7.1
High
Description
Chamilo LMS is a learning management system. Prior to 1.11.38 and 2.0.0-RC.3, Chamilo LMS contains an Insecure Direct Object Reference (IDOR) vulnerability in the Learning Path progress saving endpoint. The file lp_ajax_save_item.php accepts a uid (user ID) parameter directly from $_REQUEST and uses it to load and modify another user's Learning Path progress — including score, status, completion, and time — without verifying that the requesting user matches the target user ID. Any authenticated user enrolled in a course can overwrite another user's Learning Path progress by simply changing the uid parameter in the request. This vulnerability is fixed in 1.11.38 and 2.0.0-RC.3.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Chamilo |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-639
Authorization Bypass Through User-Controlled Key
The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data.
*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 | chamilo | chamilo_lms | <1.11.38 | / | / | / | / | / | / | / |
| a | chamilo | chamilo_lms | <2.0.0-RC.3 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: HIGH
- Availability Impact: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
Timeline
Published: April 10, 2026, 7:16 p.m.
Last Modified: April 10, 2026, 7:16 p.m.
Last Modified: April 10, 2026, 7:16 p.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.