CVE-2017-10424 in MySQL Enterprise Monitor
Summary
by MITRE
Vulnerability in the MySQL Enterprise Monitor component of Oracle MySQL (subcomponent: Monitoring: Web). Supported versions that are affected are 3.2.8.2223 and earlier, 3.3.4.3247 and earlier and 3.4.2.4181 and earlier. Easily exploitable vulnerability allows unauthenticated attacker with network access via multiple protocols to compromise MySQL Enterprise Monitor. Successful attacks require human interaction from a person other than the attacker. Successful attacks of this vulnerability can result in takeover of MySQL Enterprise Monitor. CVSS 3.0 Base Score 8.8 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H).
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Analysis
by VulDB Data Team • 01/18/2021
The vulnerability identified as CVE-2017-10424 resides within the MySQL Enterprise Monitor component of Oracle MySQL, specifically within the Monitoring: Web subcomponent. This flaw affects multiple version ranges including 3.2.8.2223 and earlier, 3.3.4.3247 and earlier, and 3.4.2.4181 and earlier, representing a significant attack surface for malicious actors targeting enterprise database monitoring infrastructure. The vulnerability's classification as easily exploitable indicates that attackers can leverage it without requiring specialized skills or extensive preparation, making it particularly dangerous in production environments where database monitoring systems are critical for operational oversight.
The technical nature of this vulnerability stems from insufficient authentication mechanisms within the web interface of MySQL Enterprise Monitor, allowing unauthenticated attackers to gain access through multiple network protocols. This represents a fundamental breakdown in the principle of least privilege and authentication controls that should protect enterprise monitoring systems. The CVSS 3.0 score of 8.8 reflects the high severity of the flaw, with scores of 8.8 for confidentiality, integrity, and availability impacts, indicating that successful exploitation could result in complete system compromise. The attack vector AV:N indicates network-based exploitation, while AC:L shows low complexity requirements, and PR:N demonstrates that no authentication is required for the initial attack. The UI:R component indicates that human interaction is necessary for successful exploitation, suggesting that the attack may require some form of social engineering or user engagement to complete.
The operational impact of this vulnerability extends beyond simple unauthorized access, as successful exploitation can result in complete takeover of the MySQL Enterprise Monitor system. This compromise creates a dangerous escalation path for attackers who can then leverage the monitoring system to gain deeper insights into the database infrastructure, potentially accessing sensitive monitoring data, manipulating monitoring configurations, or using the compromised system as a pivot point for further attacks within the network. The monitoring system typically contains valuable information about database performance, user activities, and system configurations that can be exploited for advanced persistent threat campaigns. Organizations relying on MySQL Enterprise Monitor for database oversight face significant risk of data exfiltration, system integrity compromise, and availability disruption when this vulnerability is present.
Organizations should implement immediate mitigations including applying the relevant Oracle security patches that address this vulnerability, restricting network access to the monitoring system through firewall rules, and implementing additional authentication layers. The vulnerability aligns with CWE-287, which addresses authentication issues, and maps to ATT&CK technique T1078 for valid accounts and T1566 for social engineering, as the requirement for human interaction suggests potential social engineering components. Network segmentation should be implemented to isolate monitoring systems from general network access, and monitoring of access logs should be enhanced to detect unauthorized access attempts. Regular security assessments should be conducted to identify similar authentication weaknesses in other enterprise monitoring tools and database management systems to prevent similar vulnerabilities from being exploited in the organization's infrastructure.