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Database

Lack of data validation In mlflow

Description

MLFlow path traversal vulnerability A path traversal vulnerability exists in the extract_archive_to_dir function within the mlflow/pyfunc/dbconnect_artifact_cache.py file of the mlflow/mlflow repository. This vulnerability, present in versions before v3.7.0, arises due to the lack of validation of tar member paths during extraction. An attacker with control over the tar.gz file can exploit this issue to overwrite arbitrary files or gain elevated privileges, potentially escaping the sandbox directory in multi-tenant or shared cluster environments.

Mitigation

Update Impact

Minimal update. May introduce new vulnerabilities or breaking changes.

Ecosystem
Component
Affected version
Patched versions