CVE-2026-15183: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in Snowflake Snowflake Spark Connector
Multiple input validation vulnerabilities in the Snowflake Spark Connector (spark-snowflake) versions prior to 3.2.1 can allow attackers to exfiltrate OAuth client credentials, execute arbitrary SQL with the connector's Snowflake role, or redirect COPY operations to attacker-controlled storage. An attacker could exploit these vulnerabilities by supplying a crafted OAuth token request URL, placing malicious files in an ingestion pipeline, injecting SQL via staging options in a shared Spark environment , or issuing runtime SET commands in a shared Spark-SQL session to inject arbitrary SQL into the SnowflakeFallbackCatalog's option map, which executes under the cluster admin's JDBC credentials. Successful exploitation may result in credential theft, unauthorized access to Snowflake account data, or privilege escalation within connected infrastructure.
AI Analysis
Technical Summary
Multiple input validation flaws in Snowflake Spark Connector versions before 3.2.1 enable attackers to perform SQL injection attacks. These vulnerabilities allow exfiltration of OAuth credentials, execution of arbitrary SQL with the connector's Snowflake role, and redirection of COPY operations to attacker-controlled storage. Attack vectors include crafted OAuth token request URLs, malicious files in ingestion pipelines, SQL injection via staging options in shared Spark environments, and runtime SET commands that inject SQL into the SnowflakeFallbackCatalog option map. The injected SQL runs with cluster admin JDBC credentials, potentially leading to credential theft, unauthorized data access, and privilege escalation. The affected product is a cloud service, and Snowflake manages patching and remediation.
Potential Impact
Successful exploitation can lead to theft of OAuth client credentials, unauthorized execution of arbitrary SQL commands with elevated privileges, unauthorized access to Snowflake account data, and privilege escalation within connected infrastructure. This poses a critical risk to confidentiality, integrity, and availability of data and services accessed via the Snowflake Spark Connector.
Mitigation Recommendations
A patch is available for this vulnerability. Since Snowflake Spark Connector is a cloud service, Snowflake manages remediation server-side. Users should verify with Snowflake's official advisory and ensure they are using version 3.2.1 or later of the connector. No additional user action is required if the service is fully managed and updated by Snowflake.
CVE-2026-15183: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in Snowflake Snowflake Spark Connector
Description
Multiple input validation vulnerabilities in the Snowflake Spark Connector (spark-snowflake) versions prior to 3.2.1 can allow attackers to exfiltrate OAuth client credentials, execute arbitrary SQL with the connector's Snowflake role, or redirect COPY operations to attacker-controlled storage. An attacker could exploit these vulnerabilities by supplying a crafted OAuth token request URL, placing malicious files in an ingestion pipeline, injecting SQL via staging options in a shared Spark environment , or issuing runtime SET commands in a shared Spark-SQL session to inject arbitrary SQL into the SnowflakeFallbackCatalog's option map, which executes under the cluster admin's JDBC credentials. Successful exploitation may result in credential theft, unauthorized access to Snowflake account data, or privilege escalation within connected infrastructure.
CVSS v4.0
Score 9.2critical
Affected software
pkg:maven/com.snowflake/snowflake-spark-connectorRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
Multiple input validation flaws in Snowflake Spark Connector versions before 3.2.1 enable attackers to perform SQL injection attacks. These vulnerabilities allow exfiltration of OAuth credentials, execution of arbitrary SQL with the connector's Snowflake role, and redirection of COPY operations to attacker-controlled storage. Attack vectors include crafted OAuth token request URLs, malicious files in ingestion pipelines, SQL injection via staging options in shared Spark environments, and runtime SET commands that inject SQL into the SnowflakeFallbackCatalog option map. The injected SQL runs with cluster admin JDBC credentials, potentially leading to credential theft, unauthorized data access, and privilege escalation. The affected product is a cloud service, and Snowflake manages patching and remediation.
Potential Impact
Successful exploitation can lead to theft of OAuth client credentials, unauthorized execution of arbitrary SQL commands with elevated privileges, unauthorized access to Snowflake account data, and privilege escalation within connected infrastructure. This poses a critical risk to confidentiality, integrity, and availability of data and services accessed via the Snowflake Spark Connector.
Mitigation Recommendations
A patch is available for this vulnerability. Since Snowflake Spark Connector is a cloud service, Snowflake manages remediation server-side. Users should verify with Snowflake's official advisory and ensure they are using version 3.2.1 or later of the connector. No additional user action is required if the service is fully managed and updated by Snowflake.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- SNOWFLAKE
- Date Reserved
- 2026-07-09T04:58:47.384Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
- Is Cloud Service
- true
Threat ID: 6a55feea68715ace432dfb79
Added to database: 07/14/2026, 09:18:34 UTC
Last enriched: 07/14/2026, 10:02:41 UTC
Last updated: 07/14/2026, 19:47:31 UTC
Views: 3
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