CVE-2025-62425
Oct. 16, 2025, 7:15 p.m.
8.3
High
Description
MAS (Matrix Authentication Service) is a user management and authentication service for Matrix homeservers, written and maintained by Element. A logic flaw in matrix-authentication-service 0.20.0 through 1.4.0 allows an attacker with access to an authenticated MAS session to perform sensitive operations without entering the current password. These include changing the current password, adding or removing an e-mail address and deactivating the account. The vulnerability only affects instances which have the local password database feature enabled (passwords section in the config). Patched in matrix-authentication-service 1.4.1.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Element |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-620
Unverified Password Change
When setting a new password for a user, the product does not require knowledge of the original password, or using another form of authentication.
*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 | element | matrix_authentication_service | 0.20.0-1.4.0 | / | / | / | / | / | / | / |
| a | element | matrix_authentication_service | <1.4.1 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: LOW
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:H/A:H
Timeline
Published: Oct. 16, 2025, 7:15 p.m.
Last Modified: Oct. 16, 2025, 7:15 p.m.
Last Modified: Oct. 16, 2025, 7:15 p.m.
Status : Received
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security-advisories@github.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.