CVE-2026-15736

HIGH
Published Jul 14, 2026 Modified Jul 15, 2026 CWE-73 CWE-89

Description

Snowflake SQLAlchemy versions prior to 1.11.0 contain several security vulnerabilities, including: Improper handling of user-supplied column identifiers in merge operations could allow SQL injection through attacker-controlled input keys. An attacker may be able to exploit this through request field names in a dynamic upsert endpoint, potentially enabling read access to data visible to the application's database role or modification of values within the same MERGE statement. Improper literal rendering of bound parameters when building certain Snowflake-specific table creation queries could allow SQL injection. An attacker may be able to exploit this by supplying a crafted string to any application endpoint that passes user-controlled data through the affected query-building API, potentially causing arbitrary data exfiltration within the scope of the connection role. Improper forwarding of connection configuration parameters could allow an attacker to cause the library to read arbitrary local files and transmit their contents to an attacker-controlled endpoint. An attacker may be able to exploit this in deployment environments that accept user-controlled connection parameters, potentially exposing sensitive files accessible to the application process. The fix is available in Snowflake SQLAlchemy version 1.11.0. Users must manually upgrade.

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CVSS v3.1 Score

8.3
HIGH
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:L

EPSS — Exploit Prediction

0.0027
Probability of exploitation
0.19%
Percentile rank

EPSS estimates the probability that this vulnerability will be exploited in the wild within the next 30 days. A higher score means more likely to be exploited.

Weakness Type (CWE)

CWE-73 CWE-73
CWE-89 SQL Injection

References

Frequently Asked Questions

What is CVE-2026-15736? +
Snowflake SQLAlchemy versions prior to 1.11.0 contain several security vulnerabilities, including: Improper handling of user-supplied column identifiers in merge operations could allow SQL injection through attacker-controlled input keys. An attacker may be able to exploit this through request field names in a dynamic upsert endpoint, potentially enabling read access to data visible to the application's database role or modification of values within the same MERGE statement. Improper literal rendering of bound parameters when building certain Snowflake-specific table creation queries could allow SQL injection. An attacker may be able to exploit this by supplying a crafted string to any application endpoint that passes user-controlled data through the affected query-building API, potentially causing arbitrary data exfiltration within the scope of the connection role. Improper forwarding of connection configuration parameters could allow an attacker to cause the library to read arbitrary local files and transmit their contents to an attacker-controlled endpoint. An attacker may be able to exploit this in deployment environments that accept user-controlled connection parameters, potentially exposing sensitive files accessible to the application process. The fix is available in Snowflake SQLAlchemy version 1.11.0. Users must manually upgrade. It has a CVSS v3.1 base score of 8.3 (HIGH).
How severe is CVE-2026-15736? +
CVE-2026-15736 has a CVSS v3.1 score of 8.3 out of 10, rated HIGH. This is a high-severity vulnerability that should be prioritized for patching. The EPSS score is 0.0027, placing it in the 0th percentile for exploitation probability.
How do I check if I'm vulnerable to CVE-2026-15736? +
You can use Secably's free Website Scanner to check your website for known vulnerabilities. For infrastructure scanning, use the Port Scanner to identify exposed services that may be affected. Check the vendor advisories linked above for specific patch and version information.

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