CVE-2026-15062
Essential information
- Published
- 08/07/2026 17:16
- Modified
- —
- Author
- The MITRE Corporation
- Creator
- The MITRE Corporation
- CVSS
- 9.6 CRITICAL (v3.1)
- CISA KEV
- No
- CWE
- CWE-89
- CVSS vector
-
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CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:N—
CVSS metrics
- Access vector
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- Access complexity
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- Authentication
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- Confidentiality impact
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- Integrity impact
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- Availability impact
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- Exploitability
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- Remediation level
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- Report confidence
- —
- Temporal score
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- Attack vector
- Network
- Attack complexity
- Low
- Privileges required
- Low
- User interaction
- None
- Scope
- Changed
- Confidentiality impact
- High
- Integrity impact
- High
- Availability impact
- None
- Exploit code maturity
- —
- Remediation level
- —
- Report confidence
- —
- Temporal score
- —
- Attack vector
- —
- Attack complexity
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- Attack requirements
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- Privileges required
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- User interaction
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- Confidentiality (V)
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- Confidentiality (S)
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- Integrity (V)
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- Integrity (S)
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- Availability (V)
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- Availability (S)
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- Exploit maturity
- —
Description
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.
NVD status
- NVD
- View on NVD