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CVE-2023-5192 : Vulnerability Insights and Analysis

Learn about CVE-2023-5192 involving Excessive Data Query Operations in a Large Data Table in the GitHub repository pimcore/demo before version 10.3.0. Discover impact, technical details, and mitigation steps.

This CVE involves Excessive Data Query Operations in a Large Data Table in the GitHub repository pimcore/demo before version 10.3.0.

Understanding CVE-2023-5192

This vulnerability in the pimcore/demo repository could allow an attacker to perform excessive data query operations in a large data table, leading to potential security risks.

What is CVE-2023-5192?

CVE-2023-5192 refers to the specific vulnerability found in the pimcore/demo GitHub repository where excessive data query operations in a large data table are possible.

The Impact of CVE-2023-5192

The impact of this CVE can result in high availability and integrity impact, as it could potentially lead to unauthorized access and manipulation of data stored within the affected systems.

Technical Details of CVE-2023-5192

The following technical details outline the vulnerability and its implications:

Vulnerability Description

The vulnerability allows for excessive data query operations in a large data table, posing a risk of unauthorized access and potential data manipulation.

Affected Systems and Versions

The affected system is the pimcore/demo repository, specifically versions prior to 10.3.0. Systems running these versions are vulnerable to the exploit.

Exploitation Mechanism

An attacker with high privileges can leverage this vulnerability to execute unauthorized and potentially harmful data query operations within the affected system.

Mitigation and Prevention

Taking immediate action to mitigate the impact of CVE-2023-5192 is crucial for maintaining the security of the system.

Immediate Steps to Take

        Update to version 10.3.0 or later of the pimcore/demo repository to address the vulnerability.
        Monitor system logs and data queries for any suspicious activities.

Long-Term Security Practices

        Implement strong access control measures to restrict data query operations to authorized personnel only.
        Regularly audit and review data query operations to identify and prevent any unusual or potentially harmful activities.

Patching and Updates

Apply patches and updates released by pimcore for the demo repository promptly to ensure the system is protected against known vulnerabilities.

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