CVE-2026-86597 (GCVE-0-2026-86597)
Vulnerability from cvelistv5 – Published: 2026-09-08 08:24 – Updated: 2026-09-08 12:22
VLAI
EPSS
VEX
Title
Sensitive information written to logs by Snowflake drivers
Summary
Insertion of sensitive information into log files in the Snowflake Python, Go, JDBC, Node.js, PHP PDO, and ODBC drivers allowed authentication tokens, query-result encryption keys, pre-signed cloud-storage URLs, and SAML assertions to be written to diagnostic logs in circumstances where the available log redaction did not cover all affected log paths and data types. An attacker with read access to the log destination, whether the local filesystem, a log aggregation service, or a CI/CD artifact store, could obtain credentials and decryption keys that, if still valid at the time of access, could be used to authenticate to the corresponding Snowflake account or cloud-storage object. Successful exploitation requires read access to the log destination, and impact is bounded by credential lifetime and object scope. The fix is available in the patched versions listed above. Users must manually upgrade and should securely delete previously generated diagnostic logs containing sensitive information where retention is not required.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-08 12:22 UTC
CWE
- CWE-532 - Insertion of Sensitive Information into Log File
Assigner
References
6 references
Impacted products
6 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Snowflake | Snowflake Connector for Python |
Affected:
0 , < 4.7.3
(python)
|
guessed | |
| Snowflake | Snowflake Go Driver |
Affected:
0 , < 2.2.0
(semver)
|
guessed | |
| Snowflake | Snowflake JDBC Driver |
Affected:
0 , < 4.3.4
(maven)
|
guessed | |
| Snowflake | Snowflake Node.js Driver |
Affected:
0 , < 3.3.0
(npm)
|
guessed | |
| Snowflake | Snowflake PHP PDO Driver |
Affected:
3.4.0 , < 4.2.0
(semver)
|
guessed | |
| Snowflake | Snowflake ODBC Driver |
Affected:
3.16.0 , < 3.20.0
(semver)
|
guessed |
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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.
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.
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