Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applicationsLearn about Creation of Temporary File With Insecure Permissions vulnerabilities in an interactive lesson.
Start learningUpgrade mlflow to version 3.11.0rc1 or higher.
mlflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models.
Affected versions of this package are vulnerable to Creation of Temporary File With Insecure Permissions via the get_or_create_nfs_tmp_dir() and _create_model_downloading_tmp_dir() functions. An attacker can modify model artifacts by exploiting these permissions, potentially leading to arbitrary code execution when the tampered artifacts are deserialized. This is only exploitable if the environment uses shared NFS mounts with default configurations that allow local users to access these directories.
Note:
This issue is due to an incomplete fix for CVE-2025-10279.