{
  "affected": [
    {
      "ranges": [
        {
          "database_specific": {
            "cpe": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
            "extracted_events": [
              {
                "introduced": "3.8.0"
              },
              {
                "last_affected": "3.8.1"
              }
            ],
            "source": [
              "CPE_RANGE",
              "REFERENCES"
            ]
          },
          "events": [
            {
              "introduced": "55ef1e2a9226953867a2fda1f458355d1b3dac8f"
            },
            {
              "fixed": "361b6f620adf98385c6721e384fb5ef9a30bb05e"
            }
          ],
          "repo": "https://github.com/mlflow/mlflow",
          "type": "GIT"
        }
      ]
    }
  ],
  "database_specific": {
    "cna_assigner": "@huntr_ai",
    "cwe_ids": [
      "CWE-77"
    ],
    "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/15xxx/CVE-2025-15379.json",
    "unresolved_ranges": [
      {
        "extracted_events": [
          {
            "fixed": "3.8.2"
          }
        ],
        "source": "AFFECTED_FIELD"
      }
    ]
  },
  "details": "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",
  "modified": "2026-07-16T03:30:57.465427301Z",
  "published": "2026-03-30T07:16:57.610Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75"
    },
    {
      "type": "WEB",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-15379.json"
    },
    {
      "type": "ADVISORY",
      "url": "https://access.redhat.com/security/cve/CVE-2025-15379"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/15xxx/CVE-2025-15379.json"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-15379"
    },
    {
      "type": "REPORT",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2452949"
    },
    {
      "type": "FIX",
      "url": "https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e"
    }
  ],
  "schema_version": "1.8.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Command Injection in mlflow/mlflow"
}