Severity by source
AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:N
Authenticated low-privilege user (PR:L) injects SQL over the network (AV:N/AC:L); cross-tenant/source-database reach is a scope change (S:C) with high confidentiality and integrity loss but no availability impact.
Primary rating from Vendor (412d305a-227d-44f9-a262-a31ba44f2aea).
CVSS VectorVendor: 412d305a-227d-44f9-a262-a31ba44f2aea
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:N
Lifecycle Timeline
2DescriptionCVE.org
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.
Articles & Coverage 2
AnalysisAI
SQL injection in the Snowflake Snowpark Python SDK (snowpark-python) before 1.53.0 lets an authenticated low-privilege Snowflake user execute SQL beyond their authorization scope, enabling cross-tenant data theft and source-database compromise. Three distinct injection points are involved - malicious source column names via DataFrameReader.dbapi(), a crafted location parameter that redirects COPY INTO in DataFrameWriter, and a backslash-single-quote bypass of normalize_path() in DataFrame.to_csv(). …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | Exploitation requires an authenticated Snowflake session using Snowpark Python (PR:L confirmed by CVSS), plus one of three concrete triggers named in the description: (1) DataFrameReader.dbapi() reading from a source database whose column names the attacker can influence, (2) a specially crafted location parameter supplied to a DataFrameWriter write method to redirect COPY INTO to an arbitrary source query, or (3) a backslash-single-quote sequence embedded in an export path passed to DataFrame.to_csv() to defeat the normalize_path() sanitizer. … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | The supplied CVSS 3.1 vector (AV:N/AC:L/PR:L/UI:N/S:C, C:H/I:H/A:N, score 9.6) indicates a network-reachable, low-complexity attack requiring only low privileges, with a scope change reflecting cross-tenant / source-database impact and high confidentiality and integrity loss but no availability impact. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | A low-privilege user in a shared Snowflake account (or an attacker who controls a source database that a Snowpark job ingests) crafts a malicious column name or a location/export-path parameter containing SQL, then triggers a Snowpark read/write that concatenates it into generated SQL. The injected statement runs with the session's privileges, allowing the attacker to redirect a COPY INTO or read data belonging to other tenants. … |
| Remediation | Vendor-released patch: 1.53.0 - upgrade snowpark-python to 1.53.0 or later (pip install --upgrade snowpark-python) and rebuild any pipelines that pin an older version, per the changelog at https://github.com/snowflakedb/snowpark-python/blob/main/CHANGELOG.md. … Detailed patch versions, workarounds, and compensating controls in full report. |
Recommended ActionAI
WITHIN 24 HOURS: Inventory all systems and applications running snowpark-python versions before 1.53.0 via dependency scanning and Software Composition Analysis tools. …
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External POC / Exploit Code
Leaving vuln.today
EUVD-2026-42282
GHSA-872q-cxrp-279p