CVE-2026-15925 Snowflake CVE debrief

Who should care

Organizations using Snowflake Connector for Python versions prior to 4.7.1 should be aware of this vulnerability. The issue could lead to exposure of sensitive information and potential unauthorized access to Snowflake accounts. Users with on-path network access could exploit this vulnerability, making it particularly risky for networks with untrusted or unauthenticated access.

Technical summary

The Snowflake Connector for Python versions prior to 4.7.1 improperly verifies TLS hostnames. This flaw allows a network-positioned attacker to bypass certificate hostname validation by intercepting or redirecting HTTPS connections and presenting a trusted CA-signed certificate for any domain. Successful exploitation requires on-path traffic interception capabilities like ARP/DNS poisoning, rogue access points, BGP hijacking, or malicious proxies/exit nodes. The vulnerability could expose credentials, query data, and staged file contents to interception and tampering. It may also enable attackers to issue arbitrary SQL within the victim's connector session, with impact limited by the privileges of the affected Snowflake role.

Defensive priority

High

Recommended defensive actions

• Manually upgrade to Snowflake Connector for Python version 4.7.1 or later
• Implement robust network monitoring to detect on-path traffic interception attempts
• Restrict network access to sensitive areas for users with on-path capabilities
• Use secure communication protocols and validate certificates properly in other connectors and applications
• Regularly review and update connector and library versions across the organization

Evidence notes

The CVE record was published on 2026-07-16T07:16:47.957Z and has not been modified since then. The NVD entry is currently . The vulnerability details are based on the official CVE and NVD records, as well as a reference to the Snowflake Connector for Python release notes. However, specific details about the exploitation and impact are limited in the provided source corpus.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.