The Snowflake Connector for Python provides an interface for developing Python applications that can connect to Snowflake and perform all standard operations. Recently, Snowflake discovered and remediated a vulnerability in this connector, specifically a function from the snowflake.connector.pandas_tools module that is vulnerable to SQL injection. This vulnerability affects versions 2.2.5 through 3.13.0, and Snowflake has fixed the issue in version 3.13.1.
This vulnerability has been classified with a CVSS score of 7, indicating a high severity level. The high score reflects potential risks, as SQL injection vulnerabilities can allow attackers to execute arbitrary SQL code on the database, leading to unauthorized access to sensitive data or even complete control over the database.
Risk to organizations includes data breaches and unauthorized data manipulation. As this vulnerability can be exploited with low privileges and without user interaction, organizations using the affected versions should prioritize patching immediately.
Currently, there are no known exploits or public proofs of concept associated with this vulnerability, providing some assurance, but organizations should remain vigilant and apply the necessary updates.
Vulnerability Details
The Snowflake Connector for Python has a critical vulnerability due to SQL injection in the pandas_tools module. The relevant CVE is CVE-2025-24793, which was published on January 29, 2025. The attacker could exploit this vulnerability locally, as the attack vector is categorized as local with high complexity.
The CVSS score of 7 indicates a high severity based on several factors: high confidentiality, integrity, and availability impacts, with low privileges required and no user interaction necessary.
Affected versions are those from 2.2.5 to 3.13.0. The vulnerability is classified under CWE-89, which pertains to SQL injection.
Technical Analysis
The root cause of the vulnerability lies within the SQL query construction in the vulnerable function, which fails to properly sanitize user inputs, allowing for SQL injection. The attack vector is local, meaning that an attacker would need access to the system where the Snowflake Connector is installed.
The attack complexity is high, as it requires an attacker to have local access and knowledge of the specific function to exploit the vulnerability. Privileges required are low, meaning that even users with minimal permissions can potentially exploit this vulnerability.
User interaction is not required to exploit this vulnerability, which increases the risk significantly. The impacts on confidentiality, integrity, and availability are all high, indicating that successful exploitation could compromise sensitive data and disrupt service availability.
Risk & Impact Analysis
Organizations using the Snowflake Connector for Python should assess the risk associated with this vulnerability, particularly those that may have applications relying on the affected versions. The risk to organizations includes potential data breaches, unauthorized access, and manipulation of sensitive data.
The blast radius could be substantial, as the affected connector is widely used in various applications interfacing with Snowflake. The urgency for organizations to patch this vulnerability is high, given its potential impact.
Organizations should prioritize patching immediately to mitigate the risks posed by this vulnerability. Ensuring that all instances of the Snowflake Connector for Python are updated to version 3.13.1 or later is essential.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The affected versions of the Snowflake Connector for Python are 2.2.5 through 3.13.0. Organizations using any of these versions should upgrade to version 3.13.1 or later to mitigate the risk associated with this vulnerability.
Mitigation & Remediation
To remediate this vulnerability, organizations should upgrade their Snowflake Connector for Python to version 3.13.1 or later. If an upgrade cannot be immediately applied, consider implementing input validation and sanitization as a temporary workaround until the upgrade can be performed.
In addition, conducting thorough code reviews and security testing can help identify similar vulnerabilities in other parts of the application. Organizations may also benefit from adopting continuous security testing practices to ensure ongoing security postures.
For further guidance on applying effective security testing practices, organizations can explore our penetration testing services.
Detection Guidance
Organizations should monitor logs for unusual database activity that could indicate attempts at SQL injection. Behavioral anomalies in the application that deviate from normal operation should also be investigated.
Network signatures for SQL injection attempts should be established to enhance detection capabilities. Additionally, any unexpected system changes should be flagged for further review.
AppSecure Threat Intelligence Insight
This vulnerability underscores the importance of secure coding practices and regular updates to third-party libraries. Organizations should be aware of the potential for SQL injection vulnerabilities in their applications and proactively take measures to mitigate these risks.
The low EPSS score indicates that while the vulnerability is exploitable, it has not been widely exploited in the wild. This presents an opportunity for organizations to strengthen their defenses before it becomes a target.
Implementing a comprehensive vulnerability management program can help organizations manage their security posture effectively. Additionally, focusing on penetration testing methodology can provide deeper insights into application security.
Finally, teams should familiarize themselves with modern API security testing practices to address vulnerabilities efficiently.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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