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

Arbitrary File Read via Prompt Tag Source Validation Bypass in mlflow/mlflow

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.

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对路径名的限制不恰当(路径遍历)

MLflow 路径遍历漏洞

MLflow是MLflow开源的一个简化机器学习开发的平台，包括跟踪实验、将代码打包成可重复的运行以及共享和部署模型。 MLflow 3.9.0及之前版本存在路径遍历漏洞，该漏洞源于_create_model_version处理程序在CreateModelVersion请求包含mlflow.prompt.is_prompt标签时绕过源路径验证，允许未经身份验证的远程攻击者从服务器文件系统读取任意文件，导致机密性完全泄露。

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