cve-2026-69148
HIGH CVSS 7.1 fkie_nvd
Description
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to 3.15.0, CreateModelVersion accepts a run_id or model_id after _validate_source_run() or _validate_source_model() in mlflow/server/handlers.py verifies only path containment, allowing authenticated users to create a model version that references another user's artifact directory and read files through GET /model-versions/get-artifact without the required READ permission. This issue is fixed in version 3.15.0.
Timeline
- Published
- unknown
- Last Modified
- unknown
CVSS Details
- Attack Vector
- NETWORK
- Attack Complexity
- LOW
- Privileges Required
- LOW
Affected Products
No product information available.
Weaknesses (CWE)
CVSS metrics
| Version | Base | Severity | Vector | Exploitability | Impact | Source |
|---|---|---|---|---|---|---|
| 3.1 | 7.1 | HIGH | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N |
2.8 | 4.2 | security-advisories@github.com |
NVD metadata
- NVD status
- Awaiting Analysis
- Source identifier
security-advisories@github.com
References
Linked Vulnerabilities
No linked vulnerabilities found.
{
"affected": [
{
"affectedData": [
{
"product": "mlflow",
"vendor": "mlflow",
"versions": [
{
"status": "affected",
"version": "< 3.15.0"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to 3.15.0, CreateModelVersion accepts a run_id or model_id after _validate_source_run() or _validate_source_model() in mlflow/server/handlers.py verifies only path containment, allowing authenticated users to create a model version that references another user's artifact directory and read files through GET /model-versions/get-artifact without the required READ permission. This issue is fixed in version 3.15.0."
}
],
"id": "CVE-2026-69148",
"lastModified": "2026-09-18T20:05:53.723",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 4.2,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-69148",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-18T13:14:50.252496Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-17T22:17:26.380",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/mlflow/mlflow/commit/4bb7474771c3be808cd9e129defef9305f2869be"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/mlflow/mlflow/pull/24293"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/mlflow/mlflow/releases/tag/v3.15.0"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/mlflow/mlflow/security/advisories/GHSA-gqch-g4w5-7qcw"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/mlflow/mlflow/security/advisories/GHSA-gqch-g4w5-7qcw"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Awaiting Analysis",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-862"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}