zenml-io — Vulnerabilities & Security Advisories 12

ZenML is an open-source MLOps platform enabling end-to-end machine learning pipeline orchestration. Historically, the project has faced vulnerabilities including remote code execution, cross-site scripting, and privilege escalation, often stemming from improper input validation and insecure default configurations. While no major public security incidents have been documented, the 12 recorded CVEs highlight recurring issues in web application security and access control. The platform's complex architecture, integrating multiple components, has contributed to these vulnerabilities, emphasizing the need for rigorous security testing in MLOps environments.