FKIE_CVE-2026-92903
Vulnerability from fkie_nvd - Published: 2026-09-17 11:17 - Updated: 2026-09-17 13:17
Severity
Summary
Improper input validation in Snowflake CLI versions prior to 3.27.0 allowed unsanitized user-controlled values to be interpolated into SQL strings that are executed as multi-statement queries. An attacker who is able to supply a malicious project configuration file or craft command-line input can cause Snowflake CLI to execute attacker-controlled SQL statements in the context of the victim's Snowflake session and active role. Successful exploitation requires either write or pull-request access to a project repository whose CI/CD pipeline runs Snowflake CLI under an elevated service account role, or the ability to supply untrusted input to CLI-wrapping automation. Impact is limited by the privileges held by the configured Snowflake role at execution time. The fix is available in Snowflake CLI version 3.27.0, which also addresses several additional security findings. Users must manually upgrade.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://pypi.org",
"defaultStatus": "unaffected",
"packageName": "snowflake-cli",
"product": "Snowflake CLI",
"repo": "https://github.com/snowflakedb/snowflake-cli",
"vendor": "Snowflake",
"versions": [
{
"lessThan": "3.27.0",
"status": "affected",
"version": "0",
"versionType": "python"
}
]
},
{
"collectionURL": "https://pypi.org",
"defaultStatus": "unaffected",
"packageName": "snowflake-cli-labs",
"product": "Snowflake CLI",
"repo": "https://github.com/snowflakedb/snowflake-cli",
"vendor": "Snowflake",
"versions": [
{
"lessThan": "3.27.0",
"status": "affected",
"version": "0",
"versionType": "python"
}
]
}
],
"source": "412d305a-227d-44f9-a262-a31ba44f2aea"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Improper input validation in Snowflake CLI versions prior to 3.27.0 allowed unsanitized user-controlled values to be interpolated into SQL strings that are executed as multi-statement queries. An attacker who is able to supply a malicious project configuration file or craft command-line input can cause Snowflake CLI to execute attacker-controlled SQL statements in the context of the victim\u0027s Snowflake session and active role. Successful exploitation requires either write or pull-request access to a project repository whose CI/CD pipeline runs Snowflake CLI under an elevated service account role, or the ability to supply untrusted input to CLI-wrapping automation. Impact is limited by the privileges held by the configured Snowflake role at execution time. The fix is available in Snowflake CLI version 3.27.0, which also addresses several additional security findings. Users must manually upgrade."
}
],
"id": "CVE-2026-92903",
"lastModified": "2026-09-17T13:17:00.770",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 8.2,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.5,
"impactScore": 6.0,
"source": "412d305a-227d-44f9-a262-a31ba44f2aea",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-92903",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-17T12:07:51.953732Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-17T11:17:03.460",
"references": [
{
"source": "412d305a-227d-44f9-a262-a31ba44f2aea",
"url": "https://github.com/snowflakedb/snowflake-cli/releases/tag/v3.27.0"
}
],
"sourceIdentifier": "412d305a-227d-44f9-a262-a31ba44f2aea",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-89"
}
],
"source": "412d305a-227d-44f9-a262-a31ba44f2aea",
"type": "Secondary"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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