{"dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": {"cveId": "CVE-2025-15379", "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "state": "PUBLISHED", "assignerShortName": "@huntr_ai", "dateReserved": "2025-12-30T21:24:21.058Z", "datePublished": "2026-03-30T07:16:57.610Z", "dateUpdated": "2026-03-30T07:16:57.610Z"}, "containers": {"cna": {"title": "Command Injection in mlflow/mlflow", "providerMetadata": {"orgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "shortName": "@huntr_ai", "dateUpdated": "2026-03-30T07:16:57.610Z"}, "descriptions": [{"lang": "en", "value": "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."}], "affected": [{"vendor": "mlflow", "product": "mlflow/mlflow", "versions": [{"version": "unspecified", "lessThan": "3.8.2", "status": "affected", "versionType": "custom"}]}], "references": [{"url": "https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75"}, {"url": "https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e"}], "metrics": [{"cvssV3_0": {"version": "3.0", "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "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", "baseScore": 10, "baseSeverity": "CRITICAL"}}], "problemTypes": [{"descriptions": [{"type": "CWE", "lang": "en", "description": "CWE-77 Improper Neutralization of Special Elements used in a Command ('Command Injection')", "cweId": "CWE-77"}]}], "source": {"advisory": "dc9c1c20-7879-4050-87df-4d095fe5ca75", "discovery": "EXTERNAL"}}}}

{}

{"cveTags": [], "descriptions": [{"lang": "en", "value": "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."}], "id": "CVE-2025-15379", "lastModified": "2026-03-30T08:16:15.667", "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"}]}, "published": "2026-03-30T08:16:15.667", "references": [{"source": "security@huntr.dev", "url": "https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e"}, {"source": "security@huntr.dev", "url": "https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75"}], "sourceIdentifier": "security@huntr.dev", "vulnStatus": "Received", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-77"}], "source": "security@huntr.dev", "type": "Primary"}]}

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