PYSEC-2024-191
Vulnerability from pysec - Published: 2024-10-24 22:15 - Updated: 2025-01-19 10:22
VLAI
Details
The Snowflake Connector for Python provides an interface for developing Python applications that can connect to Snowflake and perform all standard operations. Prior to version 3.12.3, when the logging level was set by the user to DEBUG, the Connector could have logged Duo passcodes (when specified via the passcode parameter) and Azure SAS tokens. Additionally, the SecretDetector logging formatter, if enabled, contained bugs which caused it to not fully redact JWT tokens and certain private key formats. Snowflake released version 3.12.3 of the Snowflake Connector for Python, which fixes the issue. In addition to upgrading, users should review their logs for any potentially sensitive information that may have been captured.
Severity
5.5 (Medium)
Impacted products
| Name | purl | snowflake-connector-python | pkg:pypi/snowflake-connector-python |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "snowflake-connector-python",
"purl": "pkg:pypi/snowflake-connector-python"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "dbc9284a3c0382c131b971b35e8d6ab93c46f37a"
}
],
"repo": "https://github.com/snowflakedb/snowflake-connector-python",
"type": "GIT"
},
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.12.3"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.4.10",
"1.4.11",
"1.4.12",
"1.4.13",
"1.4.14",
"1.4.15",
"1.4.16",
"1.4.17",
"1.4.5",
"1.4.6",
"1.4.7",
"1.4.8",
"1.4.9",
"1.5.0",
"1.5.1",
"1.5.2",
"1.5.3",
"1.5.4",
"1.5.5",
"1.5.6",
"1.5.7",
"1.5.8",
"1.6.0",
"1.6.1",
"1.6.10",
"1.6.11",
"1.6.12",
"1.6.2",
"1.6.3",
"1.6.4",
"1.6.5",
"1.6.6",
"1.6.7",
"1.6.8",
"1.6.9",
"1.7.0",
"1.7.1",
"1.7.10",
"1.7.11",
"1.7.2",
"1.7.3",
"1.7.4",
"1.7.5",
"1.7.6",
"1.7.7",
"1.7.8",
"1.7.9",
"1.8.0",
"1.8.1",
"1.8.2",
"1.8.3",
"1.8.4",
"1.8.5",
"1.8.6",
"1.8.7",
"1.9.1",
"2.0.0",
"2.0.1",
"2.0.2",
"2.0.3",
"2.0.4",
"2.1.0",
"2.1.1",
"2.1.2",
"2.1.3",
"2.2.0",
"2.2.1",
"2.2.10",
"2.2.2",
"2.2.3",
"2.2.4",
"2.2.5",
"2.2.6",
"2.2.7",
"2.2.8",
"2.2.9",
"2.3.0",
"2.3.1",
"2.3.10",
"2.3.2",
"2.3.3",
"2.3.4",
"2.3.5",
"2.3.6",
"2.3.7",
"2.3.8",
"2.3.9",
"2.4.0",
"2.4.1",
"2.4.2",
"2.4.3",
"2.4.4",
"2.4.5",
"2.4.6",
"2.5.0",
"2.5.1",
"2.6.0",
"2.6.1",
"2.6.2",
"2.7.0",
"2.7.1",
"2.7.10",
"2.7.11",
"2.7.12",
"2.7.2",
"2.7.3",
"2.7.4",
"2.7.5",
"2.7.6",
"2.7.7",
"2.7.8",
"2.7.9",
"2.8.0",
"2.8.1",
"2.8.2",
"2.8.3",
"2.9.0",
"3.0.0",
"3.0.1",
"3.0.2",
"3.0.3",
"3.0.4",
"3.1.0",
"3.1.0a1",
"3.1.0a2",
"3.1.1",
"3.10.0",
"3.10.1",
"3.11.0",
"3.12.0",
"3.12.1",
"3.12.2",
"3.2.0",
"3.2.1",
"3.3.0",
"3.3.0b1",
"3.3.1",
"3.4.0",
"3.4.1",
"3.5.0",
"3.6.0",
"3.7.0",
"3.7.1",
"3.8.0",
"3.8.1",
"3.9.0",
"3.9.1"
]
}
],
"aliases": [
"CVE-2024-49750",
"GHSA-5vvg-pvhp-hv2m"
],
"details": "The Snowflake Connector for Python provides an interface for developing Python applications that can connect to Snowflake and perform all standard operations. Prior to version 3.12.3, when the logging level was set by the user to DEBUG, the Connector could have logged Duo passcodes (when specified via the `passcode` parameter) and Azure SAS tokens. Additionally, the SecretDetector logging formatter, if enabled, contained bugs which caused it to not fully redact JWT tokens and certain private key formats. Snowflake released version 3.12.3 of the Snowflake Connector for Python, which fixes the issue. In addition to upgrading, users should review their logs for any potentially sensitive information that may have been captured.",
"id": "PYSEC-2024-191",
"modified": "2025-01-19T10:22:29.812605+00:00",
"published": "2024-10-24T22:15:04+00:00",
"references": [
{
"type": "ADVISORY",
"url": "https://github.com/snowflakedb/snowflake-connector-python/security/advisories/GHSA-5vvg-pvhp-hv2m"
},
{
"type": "FIX",
"url": "https://github.com/snowflakedb/snowflake-connector-python/commit/dbc9284a3c0382c131b971b35e8d6ab93c46f37a"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
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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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