FKIE_CVE-2022-38170
Vulnerability from fkie_nvd - Published: 2022-09-02 07:15 - Updated: 2026-06-17 04:56
Severity
Summary
In Apache Airflow prior to 2.3.4, an insecure umask was configured for numerous Airflow components when running with the `--daemon` flag which could result in a race condition giving world-writable files in the Airflow home directory and allowing local users to expose arbitrary file contents via the webserver.
References
{
"affected": [
{
"affectedData": [
{
"product": "Apache Airflow",
"vendor": "Apache Software Foundation",
"versions": [
{
"lessThanOrEqual": "2.3.3",
"status": "affected",
"version": "Apache Airflow",
"versionType": "custom"
}
]
}
],
"source": "security@apache.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:apache:airflow:*:*:*:*:*:*:*:*",
"matchCriteriaId": "FAFEE08F-9E2C-434B-B67A-6183062070BE",
"versionEndExcluding": "2.3.4",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "In Apache Airflow prior to 2.3.4, an insecure umask was configured for numerous Airflow components when running with the `--daemon` flag which could result in a race condition giving world-writable files in the Airflow home directory and allowing local users to expose arbitrary file contents via the webserver."
},
{
"lang": "es",
"value": "En Apache Airflow versiones anteriores a 2.3.4, era configurado una m\u00e1scara de usuario no segura para numerosos componentes de Airflow cuando es ejecutado con el flag \"--daemon\", lo que pod\u00eda resultar en una condici\u00f3n de carrera que daba lugar a archivos de escritura mundial en el directorio principal de Airflow y permit\u00eda a usuarios locales exponer contenidos de archivos arbitrarios por medio del servidor web"
}
],
"id": "CVE-2022-38170",
"lastModified": "2026-06-17T04:56:13.810",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 4.7,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.0,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2022-09-02T07:15:07.833",
"references": [
{
"source": "security@apache.org",
"tags": [
"Mailing List",
"Third Party Advisory"
],
"url": "http://www.openwall.com/lists/oss-security/2022/09/02/12"
},
{
"source": "security@apache.org",
"tags": [
"Mailing List",
"Mitigation",
"Third Party Advisory"
],
"url": "http://www.openwall.com/lists/oss-security/2022/09/02/3"
},
{
"source": "security@apache.org",
"tags": [
"Mailing List",
"Third Party Advisory"
],
"url": "http://www.openwall.com/lists/oss-security/2022/09/21/2"
},
{
"source": "security@apache.org",
"tags": [
"Mailing List",
"Mitigation",
"Vendor Advisory"
],
"url": "https://lists.apache.org/thread/zn8mbbb1j2od5nc9zhrvb7rpsrg1vvzv"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Mailing List",
"Third Party Advisory"
],
"url": "http://www.openwall.com/lists/oss-security/2022/09/02/12"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Mailing List",
"Mitigation",
"Third Party Advisory"
],
"url": "http://www.openwall.com/lists/oss-security/2022/09/02/3"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Mailing List",
"Third Party Advisory"
],
"url": "http://www.openwall.com/lists/oss-security/2022/09/21/2"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Mailing List",
"Mitigation",
"Vendor Advisory"
],
"url": "https://lists.apache.org/thread/zn8mbbb1j2od5nc9zhrvb7rpsrg1vvzv"
}
],
"sourceIdentifier": "security@apache.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-732"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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