CVE-2025-4573

June 12, 2025, 4:06 p.m.

4.1
Medium

Description

Mattermost versions 10.7.x <= 10.7.1, 10.6.x <= 10.6.3, 10.5.x <= 10.5.4, 9.11.x <= 9.11.13 fail to properly validate LDAP group ID attributes, allowing an authenticated administrator with PermissionSysconsoleWriteUserManagementGroups permission to execute LDAP search filter injection via the PUT /api/v4/ldap/groups/{remote_id}/link API when objectGUID is configured as the Group ID Attribute.

Product(s) Impacted

Vendor Product Versions
Mattermost
  • Mattermost
  • 10.7.0-10.7.1, 10.6.0-10.6.3, 10.5.0-10.5.4, 9.11.0-9.11.13

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-90
Improper Neutralization of Special Elements used in an LDAP Query ('LDAP Injection')
The product constructs all or part of an LDAP query using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended LDAP query when it is sent to a downstream component.

*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 mattermost mattermost 10.7.0-10.7.1 / / / / / / /
a mattermost mattermost 10.6.0-10.6.3 / / / / / / /
a mattermost mattermost 10.5.0-10.5.4 / / / / / / /
a mattermost mattermost 9.11.0-9.11.13 / / / / / / /

CVSS Score

4.1 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: June 11, 2025, 11:15 a.m.
Last Modified: June 12, 2025, 4:06 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

responsibledisclosure@mattermost.com

*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.