CVE-2026-15736 (GCVE-0-2026-15736)

Vulnerability from cvelistv5 – Published: 2026-07-14 14:11 – Updated: 2026-07-14 15:14
VLAI
Title
Multiple SQL/DDL Injection and Arbitrary File Read Vulnerabilities in snowflake-sqlalchemy
Summary
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.
Severity
8.3 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:L
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
  • CWE-73 - External Control of File Name or Path
Assigner
References
Impacted products
Vendor Product Version
Snowflake Snowflake SQLAlchemy Affected: 1.1.6 , < 1.11.0 (semver)
Create a notification for this product.
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Detection rules are retrieved from Rulezet.