Oracle MySQL InnoDBS & Unauthorized Data Access < 8.0.42, < 8.4.5, <9.3.0
CVE-2025-50085 Published on July 15, 2025

Vulnerability in the MySQL Server product of Oracle MySQL (component: InnoDB). Supported versions that are affected are 8.0.0-8.0.42, 8.4.0-8.4.5 and 9.0.0-9.3.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server as well as unauthorized update, insert or delete access to some of MySQL Server accessible data. CVSS 3.1 Base Score 5.5 (Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:L/A:H).

Vendor Advisory NVD

Vulnerability Analysis

CVE-2025-50085 can be exploited with network access, and requires user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality, with no impact on integrity, and a high impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
HIGH
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
NONE
Integrity Impact:
LOW
Availability Impact:
HIGH

Weakness Type

What is an AuthZ Vulnerability?

The software performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions.

CVE-2025-50085 has been classified to as an AuthZ vulnerability or weakness.


Products Associated with CVE-2025-50085

You can be notified by email with stack.watch whenever vulnerabilities like CVE-2025-50085 are published in these products:

Oracle
 
Oracle MySQL
 
Microsoft
 
Microsoft Mysql
 

Affected Versions

Oracle Corporation MySQL Server:

Exploit Probability

EPSS
0.06%
Percentile
19.52%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.