Arbitrary File Read via Prompt Tag Source Validation Bypass in mlflow/mlflow_CVE-2026-2614

{
    "lastseen": "",
    "description": "A vulnerability in the `_create_model_version()` handler of `mlflow/server/handlers.py` in mlflow/mlflow versions 3.9.0 and earlier allows an unauthenticated remote attacker to read arbitrary files from the server's filesystem. The issue arises when a `CreateModelVersion` request includes the tag `mlflow.prompt.is_prompt`, which bypasses source path validation. This enables an attacker to store an arbitrary local filesystem path as the model version source. The `get_model_version_artifact_handler()` function later uses this source to serve files without verifying the model version's prompt status, leading to a complete confidentiality compromise. This issue is fixed in version 3.10.0.",
    "published": "2026-05-11T19:02:46.025Z",
    "modified": "2026-05-11T19:02:46.025Z",
    "type": "cve",
    "title": "Arbitrary File Read via Prompt Tag Source Validation Bypass in mlflow/mlflow",
    "source": "@huntr_ai",
    "references": "https://huntr.com/bounties/19380271-3fbf-4beb-987e-6fd7069c55e6\nhttps://github.com/mlflow/mlflow/commit/6e801f4259d96804c73107315b24cef0f6aa115a",
    "id": "CVE-2026-2614",
    "bulletinFamily": "",
    "cwe": [
        "CWE-22"
    ],
    "cvelist": null,
    "sourceData": "mlflow mlflow/mlflow unspecified",
    "sourceHref": "",
    "cvss": {
        "score": 7.5,
        "severity": "HIGH",
        "vector": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
        "version": "3.0"
    },
    "cvss2": [],
    "cvss3": {
        "version": "",
        "vectorString": "",
        "baseScore": 0,
        "baseSeverity": "",
        "attackVector": "",
        "attackComplexity": "",
        "privilegesRequired": "",
        "userInteraction": "",
        "scope": "",
        "confidentialityImpact": "",
        "integrityImpact": "",
        "availabilityImpact": "",
        "cvssV3": {
            "version": "",
            "vectorString": "",
            "baseScore": 0,
            "baseSeverity": "",
            "attackVector": "",
            "attackComplexity": "",
            "privilegesRequired": "",
            "userInteraction": "",
            "scope": "",
            "confidentialityImpact": "",
            "integrityImpact": "",
            "availabilityImpact": ""
        }
    },
    "href": "",
    "category_name": "CVE",
    "post_link": "",
    "product": "mlflow/mlflow",
    "version": "unspecified",
    "vendor": "mlflow",
    "ai_description": "",
    "ai_severity": "",
    "ai_vendor": "",
    "ai_product": "",
    "ai_version": "",
    "ai_score": 0
}