CVE-2025-55041

March 19, 2026, 2:16 p.m.

8.0
High

Description

MuraCMS through 10.1.10 contains a CSRF vulnerability in the Add To Group functionality for user management (cUsers.cfc addToGroup method) that allows attackers to escalate privileges by adding any user to any group without proper authorization checks. The vulnerable function lacks CSRF token validation and directly processes user-supplied userId and groupId parameters via getUserManager().createUserInGorup(), enabling malicious websites to forge requests that automatically execute when an authenticated administrator visits a crafted page. Adding a user to the Super Admins group (s2 user) is not possible. Successful exploitation results in the attacker gaining privilege escalation both horizontally to other groups and vertically to the admin group. Escalation to the s2 User group is not possible.

Product(s) Impacted

Vendor Product Versions
Mura
  • Muracms
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-352
Cross-Site Request Forgery (CSRF)
The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request.

*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 mura muracms / / / / / / / /

CVSS Score

8.0 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: March 18, 2026, 4:16 p.m.
Last Modified: March 19, 2026, 2:16 p.m.

Status : Undergoing Analysis

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.