MLflow vulnerable to remote code execution on unauthenticated servers via third-party scorer deserialization importin...
High-risk advisory
CVE-2026-116692
Summary
MLflow vulnerable to remote code execution on unauthenticated servers via third-party scorer deserialization importing caller-placed artifact modules
Why it matters
GitHub has published a reviewed security advisory for mlflow. Prioritize it with other application dependency updates, especially because EPSS places it in the 53% percentile.
Operator check
Check whether mlflow is present in application dependency manifests, lockfiles, or build images. Review the GitHub advisory and upgrade to a patched version where available. EPSS probability: 0.7%; percentile: 53%.
Sources
PatchBrief uses public sources. It does not scan environments, verify exposure, or replace vendor guidance.