CVE-2026-15062
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.
- CVSS base score ≥ 7.0
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:NATT&CK techniques
1Techniques this CVE enables. Pills with a solid outline are high confidence - named directly in ATT&CK or Nuclei, or human-curated by CTID; the rest are inferred from the weakness type using MITRE's CVE Mapping Methodology and the CWE → CAPEC chain. Broad, generic-weakness guesses are filtered out. A small N× marks a technique that N independent sources agree on.
▤ Build a SIEM detection for these techniquesCAPEC attack patterns
6Attack patterns this CVE enables - the bridge from weakness to ATT&CK technique.