CVE-2023-5192 in demo
Summary
by MITRE • 09/27/2023
Excessive Data Query Operations in a Large Data Table in GitHub repository pimcore/demo prior to 10.3.0.
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Analysis
by VulDB Data Team • 10/20/2023
The vulnerability identified as CVE-2023-5192 represents a significant security flaw in the pimcore/demo repository affecting versions prior to 10.3.0. This issue manifests as excessive data query operations within large data tables, creating a potential pathway for denial of service attacks and unauthorized data access. The vulnerability stems from inadequate query optimization and lack of proper data access controls within the repository's data handling mechanisms.
The technical implementation of this vulnerability involves improper handling of database queries when processing large datasets within the pimcore demonstration environment. Attackers can exploit this weakness by submitting malicious queries that trigger excessive database operations, potentially leading to resource exhaustion and system instability. The flaw operates at the application level where user input directly influences database query construction without proper sanitization or rate limiting mechanisms. This type of vulnerability aligns with CWE-1213 which addresses excessive data query operations and represents a form of resource exhaustion attack.
From an operational impact perspective, this vulnerability compromises the availability and integrity of the demonstration repository. The excessive query operations can cause database servers to become unresponsive, leading to denial of service conditions that affect legitimate users. Additionally, the vulnerability may expose sensitive data through improper query handling that could inadvertently reveal information beyond what is intended. The attack surface is particularly concerning in demonstration environments where multiple users might interact with the system simultaneously, amplifying the potential impact of resource exhaustion attacks.
Mitigation strategies for CVE-2023-5192 should focus on implementing proper query optimization techniques and access controls within the pimcore demonstration framework. Organizations should upgrade to version 10.3.0 or later where the vulnerability has been addressed through improved query handling and resource management. Additional protective measures include implementing database query timeouts, establishing proper input validation mechanisms, and deploying rate limiting controls to prevent excessive query operations. The remediation approach should align with ATT&CK technique T1499.004 which addresses resource exhaustion attacks and emphasizes the importance of proper query optimization and access control implementations.
Security teams should conduct comprehensive testing to verify that the vulnerability has been properly addressed in the updated version, ensuring that query operations are properly bounded and that appropriate access controls are in place. Regular monitoring of database query patterns and system resource usage should be implemented to detect potential exploitation attempts. The fix demonstrates the importance of proper database access control and query optimization practices that align with industry standards for secure application development and maintenance. Organizations using the pimcore demonstration environment should also consider implementing additional security controls such as database activity monitoring and automated anomaly detection systems to prevent similar vulnerabilities from being exploited in the future.