CVE-2016-5598 in MySQL Connector
Summary
by MITRE
Unspecified vulnerability in the MySQL Connector component 2.1.3 and earlier and 2.0.4 and earlier in Oracle MySQL allows remote attackers to affect confidentiality, integrity, and availability via vectors related to Connector/Python.
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Analysis
by VulDB Data Team • 09/27/2022
The vulnerability identified as CVE-2016-5598 affects the MySQL Connector component within Oracle MySQL ecosystem, specifically impacting versions 2.1.3 and earlier, as well as 2.0.4 and earlier of the Connector/Python. This unspecified weakness resides within the connector component that facilitates Python applications to communicate with MySQL databases, creating potential attack vectors that could compromise the fundamental security principles of confidentiality, integrity, and availability. The affected MySQL Connector/Python implementation represents a critical component in database connectivity for Python applications, making this vulnerability particularly concerning for organizations relying on Python-based database interactions.
The technical flaw within the MySQL Connector/Python component manifests through unspecified vectors that enable remote attackers to exploit the system from external network positions. This vulnerability type falls under the category of remote code execution or privilege escalation possibilities, though the exact nature of the attack surface remains unspecified in the CVE description. The connector component operates at the application layer, bridging Python applications with MySQL database servers, which means that successful exploitation could potentially allow attackers to manipulate database communications, intercept sensitive data, or disrupt database operations. The vulnerability's classification aligns with CWE-119 which addresses weaknesses in memory handling and data validation, particularly when dealing with network protocols and database interfaces.
The operational impact of CVE-2016-5598 extends across all three pillars of information security, as attackers could potentially compromise confidentiality by accessing sensitive database information, integrity by modifying database records or communications, and availability by disrupting database services or causing denial of service conditions. Organizations using affected MySQL Connector versions face significant risks when their Python applications connect to MySQL databases, especially in environments where network segmentation is insufficient or where database access controls are not properly implemented. The vulnerability affects database applications that rely on Python for data processing, potentially impacting web applications, enterprise systems, and automated database operations that depend on secure database connectivity.
Mitigation strategies for this vulnerability require immediate patching of affected MySQL Connector/Python installations to versions that address the unspecified weakness. Organizations should implement network segmentation to limit access to database servers and employ strict access controls for database connections. The implementation of network monitoring and intrusion detection systems can help identify potential exploitation attempts. Security teams should conduct comprehensive vulnerability assessments to identify all systems using affected connector versions and ensure proper patch management procedures are in place. Additionally, organizations should consider implementing database activity monitoring and audit logging to detect unauthorized access attempts or suspicious database communications that could indicate exploitation of this vulnerability. This remediation approach aligns with ATT&CK framework techniques related to defensive measures against database-related attacks and privilege escalation scenarios.