CVE-2026-4137

描述

In mlflow/mlflow versions prior to 3.11.0, the `get_or_create_nfs_tmp_dir()` function in `mlflow/utils/file_utils.py` creates temporary directories with world-writable permissions (0o777), and the `_create_model_downloading_tmp_dir()` function in `mlflow/pyfunc/__init__.py` creates directories with group-writable permissions (0o770). These insecure permissions allow local attackers to tamper with model artifacts, such as cloudpickle-serialized Python objects, and achieve arbitrary code execution when the tampered artifacts are deserialized via `cloudpickle.load()`. This vulnerability is particularly critical in environments with shared NFS mounts, such as Databricks, where NFS is enabled by default. The issue is a continuation of the vulnerability class addressed in CVE-2025-10279, which was only partially fixed.

如何修補 CVE-2026-4137

要修補 CVE-2026-4137,請將受影響套件升級到下列已修補版本。

• —升級至 3.11.0 或更新版本
• —升級至 3.11.0 或更新版本
• —升級至 3.11.0 或更新版本

CVE-2026-4137 正在被利用嗎?

低 — EPSS 為 0.2%,目前沒有觀察到大規模利用活動。

受影響套件(3)

• from 0, < 3.11.0
• from 0, < 3.11.0
• from 0, < 3.11.0

CVSS 分數

參考連結(7)

• ADVISORYgithub.com/advisories/GHSA-4x5p-f36r-mxxr
• ADVISORYgithub.com/advisories/GHSA-f2m9-wcf4-cwwx
• ADVISORYnvd.nist.gov/vuln/detail/CVE-2026-4137
• PATCHgithub.com/mlflow/mlflow
• PATCHpypi.org/project/mlflow