CVE-2026-15062
Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.
NVD · uneditedSQL 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.
Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.
dbcve analysis · high confidenceMultiple SQL injection vulnerabilities in Snowflake Snowpark Python SDK versions before 1.53.0 allow authenticated low-privilege users to bypass authorization through improper input sanitization in DataFrameReader.dbapi(), DataFrameWriter write methods (affecting COPY INTO), and DataFrame.to_csv() (via normalize_path() bypass). Attackers can inject SQL through malicious column names, crafted location parameters, or backslash-single-quote sequences in export paths.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.
From the vector- Attack vector
- Network
- Complexity
- Low
- Privileges
- Low
- User interaction
- None
- Scope
- Changed
- Confidentiality
- High
- Integrity
- High
- Availability
- None
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:N
Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.
dbcve checksWork through these to decide whether this CVE applies to you.
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Check installed snowpark-python versionRun 'pip show snowpark-python' or 'pip list | grep snowpark' to view the installed versionAffected if Version is lower than 1.53.0 (e.g., 1.52.x, 1.51.x, etc.)
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Identify usage of DataFrameReader.dbapi()Search codebase for 'DataFrameReader' or '.dbapi(' calls, especially where column names may come from user input or external sourcesAffected if The method is used and version is below 1.53.0
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Identify usage of DataFrameWriter write methods with COPY INTOSearch for 'write' or 'copy_into' method calls in snowpark code, check if location/table parameters accept user-controlled valuesAffected if COPY INTO operations are performed with user-supplied location or table parameters and version is below 1.53.0
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Identify usage of DataFrame.to_csv() with export pathsSearch for '.to_csv(' calls in snowpark code, examine if path arguments could contain backslash-single-quote sequences or be user-controlledAffected if to_csv() is used to export data and version is below 1.53.0
User is affected if snowpark-python version is below 1.53.0 AND any of the affected APIs (DataFrameReader.dbapi, DataFrameWriter COPY INTO, or to_csv) are used with untrusted input in column names, location parameters, or export paths.
Generated from the published advisory. Verify against your own configuration.
Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.
dbcve · scopedUpgrade snowpark-python to version 1.53.0 or later to obtain patched sanitization in all affected API methods.
snowpark-python version 1.53.0 or later
- Check current installed version of snowpark-python by running: pip show snowpark-python
- Upgrade to version 1.53.0 or later by running: pip install --upgrade snowpark-python
- Verify the upgrade was successful by running: pip show snowpark-python and confirming the version is 1.53.0 or higher
- If using in a requirements.txt or environment file, update the snowpark-python specification to: snowpark-python>=1.53.0
- Redeploy any applications or services that use the Snowpark Python SDK to ensure they run with the patched version
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation2.0 h
- Implementation4.0 h
- Testing6.0 h
- Review / QA3.0 h
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Free · runs locallyCheck whether your project pulls in CVE-2026-15062 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2026-15062 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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- Verified mitigations, workarounds, and config changes
- Version or environment caveats, and links to real fixes
- No weaponised exploit code, or anything meant to cause harm
- No spam, self-promotion, credentials, or personal data