brew-snowflake-cli-cve-2022-42965
Vulnerability from osv_homebrew
Published
2026-08-13 17:35
Modified
2026-09-10 20:56
Summary
snowflake-connector-python is vulnerable to Regular Expression Denial of Service (ReDoS)
Details
An exponential ReDoS (Regular Expression Denial of Service) can be triggered in the snowflake-connector-python PyPI package, when an attacker is able to supply arbitrary input to the get_file_transfer_type method.
Severity
5.9 (Medium)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "snowflake-connector-python",
"resource_purl": "pkg:pypi/snowflake-connector-python@4.7.3",
"upstream_fixed_in": "2.8.2"
},
"package": {
"ecosystem": "Homebrew",
"name": "snowflake-cli",
"purl": "pkg:brew/snowflake-cli"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.24.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/snowflake-connector-python@4.7.3",
"name": "snowflake-connector-python",
"resource": "snowflake-connector-python",
"strategy": "registry",
"subject_version": "4.7.3"
}
]
},
"details": "An exponential ReDoS (Regular Expression Denial of Service) can be triggered in the snowflake-connector-python PyPI package, when an attacker is able to supply arbitrary input to the get_file_transfer_type method.",
"id": "BREW-snowflake-cli-CVE-2022-42965",
"modified": "2026-09-10T20:56:30Z",
"published": "2026-08-13T17:35:47Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-42965"
},
{
"type": "WEB",
"url": "https://github.com/snowflakedb/snowflake-connector-python/pull/1327"
},
{
"type": "WEB",
"url": "https://github.com/snowflakedb/snowflake-connector-python/commit/b9d2fc789fae4db865dde3d2a1bd72c8a9eab091"
},
{
"type": "PACKAGE",
"url": "https://github.com/snowflakedb/snowflake-connector-python"
},
{
"type": "WEB",
"url": "https://github.com/snowflakedb/snowflake-connector-python/releases/tag/v2.8.2"
},
{
"type": "WEB",
"url": "https://research.jfrog.com/vulnerabilities/snowflake-connector-python-redos-xray-257185"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "snowflake-connector-python is vulnerable to Regular Expression Denial of Service (ReDoS)",
"upstream": [
"GHSA-4r6j-fwcx-94cf",
"CVE-2022-42965",
"PYSEC-2026-922"
]
}
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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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