mlflow package vulnerabilities
Advisories affecting the mlflow package. A list cannot tell you whether your installed version is affected — the dependency check can.
4 vulnerabilities tracked. 2 with public exploit code.
Check which version you are running → — this page lists advisories for the package; only a version check can tell you whether you are affected.
- 9.8 MLflow vulnerable to remote code execution on unauthenticated servers via third-party scorer deserialization importing caller-placed artifact modules
- 7.5 MLflow vulnerable to arbitrary file read on unauthenticated servers via prompt model version source
- 6.5 MLflow CrewAI autologging records LLM provider API keys in logged trace spans
- 6.5 MLflow: SSRF on unauthenticated MLflow servers via third-party scorer kwargs in the scorer invoke, register, and GenAI evaluate endpoints
What this covers
This feed accumulates forward from the day it started storing records, and a name search that finds nothing here is also looked up against the registers directly — so an older advisory resolves even when it predates the corpus. It is still a reading view, not a substitute for the vendor's own advisory, and absence from this page is not a statement that mlflow is free of vulnerabilities.
Query this from an agent over MCP · Check a lockfile by version
Other packages tracked here
filelock node-forge github.com/labstack/echo/v5 vllm github.com/labstack/echo/v4 undici virtualenv adminneo-org/adminneo authlib @highcharts/dashboards pypdf GitPython highcharts seroval org.keycloak:keycloak-services zip org.mariadb.jdbc:mariadb-java-client @highcharts/grid-pro russh rustls pyasn1 better-auth onnx crass