MLflow vulnerable to remote code execution on unauthenticated servers via third-party scorer deserialization importing caller-placed artifact modules

影響: pip:mlflow >= 3.12.0rc0, < 3.17.0 → 3.17.0

MLflow 3.12.0 introduced registration and deserialization support for third-party scorers in OSS MLflow. During scorer deserialization, the server accepts a request-controlled Python module path beneath one of four allowed package prefixes, imports that module, obtains a request-controlled class, and instantiates it synchronously. An HTTP caller can combine this behavior with MLflow's built-in experiment, run, and artifact-upload endpoints: 1. Create an experiment whose local artifact location…

在 GitHub Advisory Database 阅读

2026/10/28 06:26，GitHub Advisory Database 发布了“MLflow vulnerable to remote code execution on unauthenticated servers via third-party scorer deserialization importing caller-placed artifact modules”（类型：漏洞公告）。严重程度为“严重”（critical）。相关技术：Python。CVE：CVE-2026-116692。