Executive Summary

The Open ISES Project version 3.30A contains a high-severity SQL injection vulnerability in the sever_graph.php file. This vulnerability allows unauthenticated attackers to execute arbitrary SQL commands by injecting malicious code through the p1 parameter.

Attackers can exploit this flaw by sending crafted GET requests to sever_graph.php, which can lead to extraction of sensitive database information such as schema names and other data.

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Impact Analysis

This vulnerability can have significant impacts as it allows attackers to access sensitive database information without authentication.

• Attackers can extract database schema names and other sensitive data.
• The vulnerability has a high CVSS score (8.8), indicating a serious risk to confidentiality.
• It can lead to unauthorized data disclosure and potential further exploitation of the system.

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Detection Guidance

This vulnerability can be detected by monitoring for suspicious GET requests to the sever_graph.php file that include the p1 parameter with potentially malicious SQL payloads.

A practical approach is to inspect web server logs for requests matching the pattern: sever_graph.php?p1= followed by SQL injection attempts.

• Use command-line tools like grep to search logs for suspicious requests, for example: grep "sever_graph.php?p1=" /var/log/apache2/access.log
• Use curl or wget to test the endpoint with crafted SQL payloads to verify if the system is vulnerable.

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Mitigation Strategies

Immediate mitigation steps include restricting or filtering access to sever_graph.php to prevent unauthenticated requests with malicious p1 parameters.

Implement input validation and parameterized queries in the application code to prevent SQL injection.

If possible, apply any available patches or updates from the Open ISES Project that address this vulnerability.

Monitor logs for suspicious activity and consider temporarily disabling the affected functionality if it is not critical.

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Compliance Impact

The SQL injection vulnerability in Open ISES Project 3.30A allows attackers to extract sensitive database information, which could include personal or protected data.

Such unauthorized access and potential data exposure can lead to non-compliance with data protection regulations like GDPR and HIPAA, which require safeguarding sensitive information against unauthorized access.

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