FKIE_CVE-2024-27134
Vulnerability from fkie_nvd - Published: 2024-11-25 14:15 - Updated: 2026-06-17 07:19
Severity
7.0 (High) - CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
7.0 (High) - CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
7.0 (High) - CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
Summary
Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf. This behavior can be exploited by a local attacker to gain elevated permissions by using a ToCToU attack. The issue is only relevant when the spark_udf() MLflow API is called.
References
| URL | Tags | ||
|---|---|---|---|
| reefs@jfrog.com | https://github.com/mlflow/mlflow/pull/10874 | Issue Tracking, Patch |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://pypi.python.org",
"defaultStatus": "unaffected",
"packageName": "mlflow",
"versions": [
{
"lessThan": "2.16.0",
"status": "affected",
"version": "0",
"versionType": "python"
}
]
}
],
"source": "reefs@jfrog.com"
},
{
"affectedData": [
{
"cpes": [
"cpe:2.3:a:lfprojects:mlflow:-:*:*:*:*:*:*:*"
],
"defaultStatus": "unknown",
"product": "mlflow",
"vendor": "lfprojects",
"versions": [
{
"lessThan": "2.16.0",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
"matchCriteriaId": "B6FD49A4-6E91-44B8-AB67-EC2626F98335",
"versionEndExcluding": "2.16.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf. This behavior can be exploited by a local attacker to gain elevated permissions by using a ToCToU attack. The issue is only relevant when the spark_udf() MLflow API is called."
},
{
"lang": "es",
"value": "Los permisos de directorio excesivos en MLflow provocan una escalada de privilegios locales cuando se utiliza spark_udf. Un atacante local puede aprovechar este comportamiento para obtener permisos elevados mediante un ataque ToCToU. El problema solo es relevante cuando se llama a la API spark_udf() de MLflow."
}
],
"id": "CVE-2024-27134",
"lastModified": "2026-06-17T07:19:13.537",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.0,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.0,
"impactScore": 5.9,
"source": "reefs@jfrog.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.0,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.0,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-27134",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-11-25T14:23:17.524784Z",
"version": "2.0.3"
}
}
]
},
"published": "2024-11-25T14:15:06.867",
"references": [
{
"source": "reefs@jfrog.com",
"tags": [
"Issue Tracking",
"Patch"
],
"url": "https://github.com/mlflow/mlflow/pull/10874"
}
],
"sourceIdentifier": "reefs@jfrog.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-276"
},
{
"lang": "en",
"value": "CWE-367"
}
],
"source": "reefs@jfrog.com",
"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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