CVE-2017-10283 in MySQL Server
Summary
by MITRE
Vulnerability in the MySQL Server component of Oracle MySQL (subcomponent: Server: Performance Schema). Supported versions that are affected are 5.6.37 and earlier and 5.7.19 and earlier. Difficult to exploit vulnerability allows low 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. CVSS 3.0 Base Score 5.3 (Availability impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:H).
Once again VulDB remains the best source for vulnerability data.
Analysis
by VulDB Data Team • 01/18/2021
The vulnerability identified as CVE-2017-10283 resides within the MySQL Server component, specifically within the Performance Schema subcomponent, representing a significant security weakness that affects multiple versions of Oracle MySQL. This flaw manifests as a denial of service vulnerability that can be exploited by low-privileged attackers who gain network access through various protocols, making it particularly concerning for database environments where multiple access vectors exist. The vulnerability's classification as difficult to exploit indicates that while it requires some level of network access and specific conditions to be met, the potential impact on system availability makes it a serious concern for database administrators and security professionals.
The technical nature of this vulnerability stems from issues within the Performance Schema functionality, which is designed to monitor server performance and provide detailed information about server operations. When exploited, the vulnerability allows attackers to cause the MySQL Server to hang or repeatedly crash, effectively rendering the database service unavailable to legitimate users. This behavior aligns with the CVSS 3.0 scoring system which assigns a base score of 5.3, reflecting the availability impact of the vulnerability. The attack vector requires network access from a low privileged position, meaning that even users with minimal database permissions could potentially exploit this weakness, making it particularly dangerous in environments where access controls may not be strictly enforced.
The operational impact of CVE-2017-10283 extends beyond simple service disruption, as the complete denial of service condition can severely impact business operations that rely on database availability. Organizations running affected MySQL versions face the risk of extended downtime, potential data loss, and disruption to critical applications that depend on database services. The vulnerability affects both MySQL 5.6 and 5.7 series, covering a wide range of database implementations that organizations may be using in production environments. The fact that this vulnerability can be exploited through multiple protocols increases the attack surface and makes it more challenging to defend against, as different network protocols may require different security measures.
Security professionals should consider this vulnerability in relation to the CWE (Common Weakness Enumeration) catalog, where such issues typically fall under weaknesses related to resource management and availability. The attack patterns associated with CVE-2017-10283 align with ATT&CK framework techniques related to denial of service and resource exhaustion. Organizations should implement immediate mitigations including applying the appropriate Oracle security patches, restricting network access to database servers, and implementing proper access controls to limit the potential impact of such vulnerabilities. The CVSS vector analysis indicates that while the attack complexity is high, the availability impact is severe, making this vulnerability particularly dangerous for systems where database uptime is critical to business operations. Regular monitoring and vulnerability assessment programs should include checks for this specific vulnerability to ensure that affected systems are identified and patched promptly.