CVE-2026-101612 in MySQL Server
Summary
by MITRE • 10/21/2026
Vulnerability in the MySQL Server, MySQL Cluster product of Oracle MySQL (component: InnoDB). Supported versions that are affected are MySQL Server: 8.4.0-8.4.12, 9.7.0-9.7.3, 26.7.0-26.7.1; MySQL Cluster: 8.0.0-8.0.49, 8.4.0-8.4.12, 9.7.0-9.7.3 and 26.7.0-26.7.1. Difficult to exploit vulnerability allows high privileged attacker with logon to the infrastructure where MySQL Server, MySQL Cluster executes to compromise MySQL Server, MySQL Cluster. Successful attacks require human interaction from a person other than the attacker. 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. CVSS 3.1 Base Score 4.0 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:H/PR:H/UI:R/S:U/C:N/I:N/A:H).
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Analysis
by VulDB Data Team • 10/21/2026
The identified vulnerability resides within the InnoDB storage engine of Oracle MySQL Server and MySQL Cluster products, affecting specific version ranges including MySQL Server 8.4 through 8.4.12, 9.7 through 9.7.3, and 26.7 versions up to 26.7.1, as well as corresponding MySQL Cluster releases from 8.0.0 through 8.0.49 and the same newer version ranges. This flaw is classified under CWE-611, which refers to Improper Restriction of XML External Entity References, although in this specific context it manifests as a logic error or resource exhaustion issue within the InnoDB subsystem that leads to service instability rather than traditional data exfiltration via external entities. The vulnerability allows for a denial-of-service condition where the database engine can be forced into an unresponsive state or crash repeatedly, effectively halting all database operations dependent on this instance.
Exploitation of this vulnerability requires a high degree of privilege and specific environmental conditions that significantly limit its practical applicability in most real-world attack scenarios. An attacker must possess administrative-level access to the infrastructure hosting the MySQL service, meaning they already have significant control over the underlying operating system or database environment. Furthermore, the exploit is characterized by high complexity, indicating that crafting a successful payload requires specialized knowledge and precise timing. Crucially, the vulnerability demands human interaction from an individual other than the attacker, such as a database administrator or application user executing specific queries or commands within the affected software version. This requirement for social engineering or insider involvement acts as a substantial barrier to automated exploitation by remote threat actors without prior access credentials.
The operational impact of a successful exploit is primarily centered on availability rather than confidentiality or integrity. A compromised system will experience hangs or frequent, repeatable crashes that result in complete denial of service for the MySQL Server or Cluster node. This disruption can lead to significant downtime for applications relying on the database, causing data processing delays and potential loss of transactional continuity if not properly mitigated by high-availability failover mechanisms. While the CVSS 3.1 base score is rated at 4.0 with a vector indicating local access, high complexity, privileged requirements, user interaction, and no impact on confidentiality or integrity, the severity lies in the potential for sustained service interruption. In enterprise environments where database uptime is critical, even localized denial-of-service events can have cascading effects on business operations and customer experience.
To mitigate this vulnerability, organizations should prioritize patching to the latest stable versions of MySQL Server and MySQL Cluster that address these specific flaws within the InnoDB engine. Since exploitation requires high privileges, enforcing strict least-privilege principles for database accounts is essential; administrative credentials should be tightly controlled and monitored for unusual activity patterns. Additionally, implementing robust monitoring solutions can help detect signs of resource exhaustion or abnormal query execution times that may indicate an attempted exploit. While human interaction is a required step in the attack chain, maintaining up-to-date software reduces the window of opportunity and ensures that known logic errors leading to crashes are resolved by Oracle through official security updates.