CVE-2026-34160

April 14, 2026, 9:16 p.m.

8.6
High

Description

Chamilo LMS is an open-source learning management system. In versions prior to 2.0.0-RC.3, the PENS (Package Exchange Notification Services) plugin endpoint at public/plugin/Pens/pens.php is accessible without authentication and accepts a user-controlled package-url parameter that the server fetches using curl without filtering private or internal IP addresses, enabling unauthenticated Server-Side Request Forgery (SSRF). An attacker can exploit this to probe internal network services, access cloud metadata endpoints (such as 169.254.169.254) to steal IAM credentials and sensitive instance metadata, or trigger state-changing operations on internal services via the receipt and alerts callback parameters. No authentication is required to exploit either SSRF vector, significantly increasing the attack surface. This issue has been fixed in version 2.0.0-RC.3.

Product(s) Impacted

Vendor Product Versions
Chamilo
  • Chamilo
  • <2.0.0-RC.3

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-306
Missing Authentication for Critical Function
The product does not perform any authentication for functionality that requires a provable user identity or consumes a significant amount of resources.

*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 <2.0.0-RC.3 / / / / / / /

CVSS Score

8.6 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: CHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N

    View Vector String

Timeline

Published: April 14, 2026, 9:16 p.m.
Last Modified: April 14, 2026, 9:16 p.m.

Status : Received

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.