Vulnerability Monitor

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CVE-2024-49750


The Snowflake Connector for Python provides an interface for developing Python applications that can connect to Snowflake and perform all standard operations. Prior to version 3.12.3, when the logging level was set by the user to DEBUG, the Connector could have logged Duo passcodes (when specified via the `passcode` parameter) and Azure SAS tokens. Additionally, the SecretDetector logging formatter, if enabled, contained bugs which caused it to not fully redact JWT tokens and certain private key formats. Snowflake released version 3.12.3 of the Snowflake Connector for Python, which fixes the issue. In addition to upgrading, users should review their logs for any potentially sensitive information that may have been captured.


Security Impact Summary

This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 5.5, requiring local system access to exploit with relatively low complexity without requiring user interaction requiring only low-level privileges . The vulnerability impacts confidentiality (data exposure), for affected systems. Impacting 1 product from snowflake organizations running these solutions should prioritize assessment and patching.

Historical Context

Reported in 2024, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.


Published

2024-10-24T22:15:04.490

Last Modified

2026-06-17T08:00:22.810

Status

Analyzed

Source

[email protected]

Severity

CVSSv3.1: 5.5 (MEDIUM)

Weaknesses
  • Type: Secondary
    CWE-532

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application snowflake snowflake_connector < 3.12.3 Yes

References

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For snowflake's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.