CVE-2025-46614 is a vulnerability identified in the Snowflake ODBC Driver versions prior to 3.7.0. The issue pertains to the improper handling of sensitive information within log files, specifically the insertion of entire SQL queries into log files at the INFO logging level. This vulnerability is classified under CWE-532, which relates to the insertion of sensitive information into log files. In certain code paths, the Snowflake ODBC Driver logs the full SQL query, potentially exposing sensitive data such as personally identifiable information (PII), credentials, or proprietary business logic embedded within the queries. The logging occurs without adequate sanitization or redaction, increasing the risk that sensitive data could be accessed by unauthorized users who have access to these logs. The vulnerability has a CVSS 3.1 base score of 3.3, indicating a low severity level. The vector indicates that exploitation requires local access (AV:L), low attack complexity (AC:L), low privileges (PR:L), no user interaction (UI:N), and impacts confidentiality only (C:L), with no impact on integrity or availability. There are no known exploits in the wild at the time of publication, and no patches are explicitly linked, though upgrading to version 3.7.0 or later is implied to remediate the issue. The vulnerability does not require user interaction but does require some level of local or network access with limited privileges, which somewhat limits the attack surface. However, the exposure of sensitive data in logs can lead to information disclosure risks if logs are not properly secured or if attackers gain access to log storage locations.

For European organizations, the exposure of sensitive information through logging can have significant compliance and operational impacts. Many European entities are subject to strict data protection regulations such as the GDPR, which mandates the protection of personal data. Leakage of sensitive data through logs could lead to unauthorized disclosure of personal or confidential information, resulting in regulatory fines, reputational damage, and loss of customer trust. Additionally, organizations in sectors such as finance, healthcare, and government, which frequently use Snowflake for data warehousing and analytics, may be at higher risk due to the sensitive nature of their data. The vulnerability could facilitate lateral movement or privilege escalation if attackers gain access to logs containing credentials or query parameters. Although the vulnerability itself is low severity, the potential for sensitive data exposure in environments with inadequate log access controls or monitoring could amplify its impact. Organizations relying heavily on Snowflake ODBC drivers for data integration and analytics workflows may need to reassess their logging policies and access controls to mitigate risks.

1. Upgrade the Snowflake ODBC Driver to version 3.7.0 or later, where this logging behavior has been corrected. 2. Review and restrict access permissions to log files generated by Snowflake ODBC to ensure only authorized personnel and systems can read them. 3. Implement log management solutions that support log redaction or masking to prevent sensitive data exposure. 4. Audit existing logs for sensitive information and securely delete or archive logs containing sensitive queries. 5. Configure logging levels to avoid verbose INFO-level logging of SQL queries in production environments, opting for higher severity levels that do not include sensitive data. 6. Employ network segmentation and endpoint security controls to limit local access to systems running the vulnerable ODBC driver. 7. Monitor logs and access patterns for unusual activity that could indicate attempts to access sensitive log data. 8. Educate developers and database administrators on secure logging practices, emphasizing the risks of logging sensitive information.