CVE-2026-60187

Description

Oracle CPU describes the issue as following: Vulnerability in the MySQL Server, MySQL Cluster product of Oracle MySQL (component: Server: Replication). Supported versions that are affected are MySQL Server: 8.4.0-8.4.10, 9.7.0-9.7.1; MySQL Cluster: 8.0.0-8.0.47, 8.4.0-8.4.10 and 9.7.0-9.7.1. Difficult to exploit vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server, MySQL Cluster. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server, MySQL Cluster.

Statement

Red Hat Product Security rates the severity of this flaw as determined by the Oracle MySQL Critical Patch Update.

Common Vulnerability Scoring System (CVSS) Score Details

Info alert:Important note

CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authority (CNA) source for its products and services (see Red Hat classifications).

The following CVSS metrics and score provided are preliminary and subject to review.

CVSS v3 Score Breakdown

Red HatNVDcve.org
Base Score4.4N/A4.4
Attack VectorNetworkN/ANetwork
Attack ComplexityHighN/AHigh
Privileges RequiredHighN/AHigh
User InteractionNoneN/ANone
ScopeUnchangedN/AUnchanged
ConfidentialityNoneN/ANone
Integrity ImpactNoneN/ANone
Availability ImpactHighN/AHigh

Vector

Red Hat: CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:N/I:N/A:H

cve.org: CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:N/I:N/A:H

Understanding the Weakness (CWE)

Availability

Technical Impact: DoS: Resource Consumption (CPU); DoS: Resource Consumption (Memory); DoS: Resource Consumption (Other)

When allocating resources without limits, an attacker could prevent other systems, applications, or processes from accessing the same type of resource. It can be easy for an attacker to consume many resources by rapidly making many requests or causing larger resources to be used than is needed.

Frequently Asked Questions

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