SQL Injection in DataEase Prior to 2.10.24

Compliance Impact

The vulnerability allows an authenticated attacker to perform SQL injection attacks, potentially leading to unauthorized data disclosure or modification.

Such unauthorized access or alteration of data can result in non-compliance with data protection regulations and standards like GDPR and HIPAA, which mandate strict controls over data confidentiality and integrity.

Therefore, if exploited, this vulnerability could compromise the security requirements necessary for compliance with these regulations.

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Executive Summary

This vulnerability exists in DataEase, an open source data visualization and analysis tool, in versions prior to 2.10.24. It occurs because chart quota and Y-axis filters embed attacker-controlled filter values directly into generated SQL queries without proper SQL literal validation and escaping. This allows an authenticated user who can create or modify chart definitions or submit chart data requests containing quota filters to inject malicious SQL code into queries executed against configured datasources.

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Impact Analysis

The vulnerability can lead to SQL injection attacks, which may allow an attacker to execute arbitrary SQL commands on the database. This can result in unauthorized data access, data modification, or deletion, potentially compromising the confidentiality, integrity, and availability of the data managed by DataEase.

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Mitigation Strategies

To mitigate this vulnerability, upgrade DataEase to version 2.10.24 or later, where the issue has been fixed.

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Detection Guidance

This vulnerability is an authenticated SQL injection in DataEase versions prior to 2.10.24, specifically in the handling of chart quota and Y-axis filters in the Quota2SQLObj.getYWheres() function. Detection involves identifying if your DataEase installation is running a vulnerable version and if there are attempts to exploit the quota filter inputs with SQL injection payloads.

To detect exploitation attempts on your system or network, you can monitor logs for suspicious SQL patterns or unusual filter values in chart definitions or data requests. Since the vulnerability requires authenticated access, focus on monitoring authenticated user actions that create or modify chart definitions or submit chart data requests.

Suggested commands or approaches include:

• Check the version of DataEase installed to confirm if it is prior to 2.10.24 (vulnerable). For example, use commands or check application metadata to find the version.
• Review application logs or database query logs for suspicious filter values containing typical SQL injection payloads such as `' OR '1'='1` or other SQL control characters.
• If you have access to the database logs, run queries to detect unusual or malformed SQL queries originating from the application.
• Example grep command to search logs for suspicious SQL injection patterns in quota filters (adjust log file path accordingly):
• grep -iE "(' OR '1'='1|--|;|\bUNION\b|\bSELECT\b)" /path/to/dataease/logs/*.log
• Monitor user activity for creation or modification of chart definitions or quota filters with unusual input.

Ultimately, upgrading to DataEase version 2.10.24 or later is the recommended mitigation to prevent exploitation.

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