CVE-2026-15062 in Snowpark Python SDK
Summary
by MITRE • 07/08/2026
SQL injection vulnerabilities in the Snowflake Snowpark Python SDK (snowpark-python) versions prior to 1.53.0 could allow authenticated low-privilege users to execute SQL beyond their authorization scope. An attacker could exploit these vulnerabilities by embedding SQL payloads in source database column names to escalate privileges via the DataFrameReader.dbapi() API by supplying a specially crafted location parameter to DataFrameWriter write methods to redirect a COPY INTO to an arbitrary source query, or by including a backslash-single-quote sequence in an export path to defeat the normalize_path() sanitizer and inject SQL via DataFrame.to_csv(). Successful exploitation may result in source database compromise, unauthorized cross-tenant data exfiltration, or unauthorized read of Snowflake account data.
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Analysis
by VulDB Data Team • 07/08/2026
This vulnerability represents a critical authorization bypass flaw in the Snowflake Snowpark Python SDK affecting versions prior to 1.53.0. The issue stems from insufficient input validation and sanitization mechanisms within the SDK's handling of database operations, particularly when processing user-supplied data through DataFrame operations. The vulnerability manifests across multiple attack vectors including the DataFrameReader.dbapi() API, DataFrameWriter write methods, and DataFrame.to_csv() export functionality, creating a comprehensive attack surface for privilege escalation. The root cause lies in improper handling of special character sequences and path normalization functions that fail to adequately sanitize user inputs before incorporating them into SQL execution contexts.
The technical exploitation leverages classic SQL injection patterns by crafting malicious payloads within database column names and file paths that bypass existing sanitization measures. When attackers supply specially formatted location parameters to DataFrameWriter write methods, they can redirect COPY INTO operations to execute arbitrary source queries against the underlying database system. This occurs because the SDK does not properly escape or validate user inputs before constructing SQL statements, allowing attackers to inject malicious SQL commands that execute with elevated privileges. The vulnerability also exploits weaknesses in the normalize_path() function by utilizing backslash-single-quote sequences that defeat existing sanitization logic, enabling injection attacks through CSV export operations.
From an operational impact perspective, this vulnerability enables authenticated low-privilege users to perform unauthorized database operations that would normally require higher privileges or administrative access. Successful exploitation could lead to complete compromise of source databases, unauthorized cross-tenant data exfiltration between different Snowflake accounts, and unauthorized read access to sensitive Snowflake account data. The attack requires only basic authentication credentials within the Snowflake environment, making it particularly dangerous as it can be exploited by insiders or compromised low-privilege accounts. This vulnerability undermines the fundamental security model of Snowflake's multi-tenant architecture and could result in significant data breaches and regulatory compliance violations.
Organizations should immediately upgrade to Snowpark Python SDK version 1.53.0 or later to receive the patched sanitization routines and input validation mechanisms. Additionally, administrators should implement strict monitoring of DataFrame operations and API calls that involve user-supplied inputs. The mitigation strategy should include regular security assessments of data processing pipelines, implementation of principle of least privilege access controls, and deployment of network segmentation measures to limit lateral movement within Snowflake environments. This vulnerability aligns with CWE-89 SQL Injection and follows ATT&CK techniques related to privilege escalation and data extraction through database manipulation. Security teams must also consider implementing automated input validation checks in their development pipelines and conduct regular penetration testing to identify similar vulnerabilities in other SDK components or custom applications leveraging Snowflake's Python APIs.