CVE-2022-42965 is a vulnerability identified in the snowflake-connector-python package, a Python client used to connect to Snowflake's cloud data platform. The issue is classified under CWE-1333, which pertains to inefficient regular expression complexity leading to a Regular Expression Denial of Service (ReDoS). Specifically, an attacker can trigger an exponential ReDoS by supplying crafted input to the undocumented method get_file_transfer_type within the connector. This method processes input using a regular expression that exhibits exponential time complexity for certain inputs, causing the system to consume excessive CPU resources and potentially become unresponsive. The vulnerability does not require authentication or user interaction and can be exploited remotely over the network (AV:N). However, the attack complexity is high (AC:H), indicating that the attacker must craft specific input patterns to trigger the vulnerability effectively. The CVSS v3.1 base score is 3.7, reflecting a low severity primarily due to the limited impact on confidentiality and integrity and the high complexity of exploitation. No known exploits have been reported in the wild, and no patches have been explicitly linked in the provided information. The vulnerability affects unspecified versions of the snowflake-connector-python package, which is widely used by organizations integrating Python applications with Snowflake's data platform for data analytics and warehousing tasks.

For European organizations utilizing Snowflake's cloud data platform with the snowflake-connector-python package, this vulnerability could lead to service degradation or temporary denial of service in applications relying on the connector. While the impact is limited to availability and does not compromise data confidentiality or integrity, disruption of data transfer operations can affect business continuity, especially in data-intensive environments such as finance, healthcare, and manufacturing sectors prevalent in Europe. Organizations with automated data pipelines or real-time analytics may experience delays or failures in data processing. Given the high complexity of exploitation and lack of known active exploits, the immediate risk is low; however, targeted attacks by sophisticated adversaries aiming to disrupt services cannot be ruled out. The undocumented nature of the vulnerable method may also hinder detection and mitigation efforts.

European organizations should implement the following specific measures: 1) Audit and monitor usage of the snowflake-connector-python package, particularly any calls to undocumented or less commonly used methods such as get_file_transfer_type, to detect anomalous input patterns that could indicate exploitation attempts. 2) Employ input validation and sanitization at the application layer before passing data to the connector to prevent maliciously crafted inputs that could trigger the ReDoS. 3) Limit exposure of the connector to untrusted networks or users by enforcing strict network segmentation and access controls, reducing the attack surface. 4) Stay informed about updates from Snowflake and the package maintainers for patches or security advisories addressing this vulnerability, and plan for timely application of updates once available. 5) Implement resource usage monitoring and rate limiting on services utilizing the connector to detect and mitigate potential denial-of-service conditions. 6) Consider fallback mechanisms or redundancy in data transfer workflows to maintain availability in case of service disruption.