FKIE_CVE-2025-15379
Vulnerability from fkie_nvd - Published: 2026-03-30 08:16 - Updated: 2026-06-17 08:37
Severity
Summary
A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
{
"affected": [
{
"affectedData": [
{
"product": "mlflow/mlflow",
"vendor": "mlflow",
"versions": [
{
"lessThan": "3.8.2",
"status": "affected",
"version": "unspecified",
"versionType": "custom"
}
]
}
],
"source": "security@huntr.dev"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
"matchCriteriaId": "CB8C7729-F7F9-4179-B66D-4E76EFE4115D",
"versionEndIncluding": "3.8.1",
"versionStartIncluding": "3.8.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A command injection vulnerability exists in MLflow\u0027s model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact\u0027s `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2."
},
{
"lang": "es",
"value": "Existe una vulnerabilidad de inyecci\u00f3n de comandos en el c\u00f3digo de inicializaci\u00f3n del contenedor de servicio de modelos de MLflow, espec\u00edficamente en la funci\u00f3n `_install_model_dependencies_to_env()`. Al desplegar un modelo con `env_manager=LOCAL`, MLflow lee las especificaciones de dependencia del archivo `python_env.yaml` del artefacto del modelo y las interpola directamente en un comando de shell sin sanitizaci\u00f3n. Esto permite a un atacante suministrar un artefacto de modelo malicioso y lograr la ejecuci\u00f3n arbitraria de comandos en sistemas que despliegan el modelo. La vulnerabilidad afecta a las versiones 3.8.0 y est\u00e1 corregida en la versi\u00f3n 3.8.2."
}
],
"id": "CVE-2025-15379",
"lastModified": "2026-06-17T08:37:39.567",
"metrics": {
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 10.0,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 6.0,
"source": "security@huntr.dev",
"type": "Secondary"
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-15379",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "yes"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-03-31T03:55:37.623494Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-03-30T08:16:15.667",
"references": [
{
"source": "security@huntr.dev",
"tags": [
"Patch"
],
"url": "https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e"
},
{
"source": "security@huntr.dev",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75"
}
],
"sourceIdentifier": "security@huntr.dev",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-77"
}
],
"source": "security@huntr.dev",
"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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