MLflow Vulnerabilities

pip MLOps

AI Threat Alert tracks 83 known vulnerabilities in MLflow, 19 rated critical — an AI/ML mlops in the pip ecosystem. Each CVE includes CVSS severity, EPSS exploit probability, patch status, and CISO-grade analysis.

Data sources
81
Risk Score
83
Total CVEs
19
Critical
pip
Ecosystem
Sep 8, 2026
Last CVE
36%
Patch Rate
75d
Avg Time to Patch
28,147 stars 6,371 forks 2,139 issues 691 dependents Last push Sep 27, 2026
View on GitHub
OpenSSF Scorecard 5.3/10

Known Vulnerabilities (83 total, page 4 of 4)

Showing 76–83 of 83

Frequently asked questions

What is MLflow?

MLflow is an AI/ML mlops tracked by AI Threat Alert for security vulnerabilities in the pip ecosystem.

How many known vulnerabilities does MLflow have?

MLflow has 83 known CVEs, 19 of them critical, tracked from NVD and GitHub Advisory.

Which ecosystem is MLflow distributed in?

MLflow is distributed via the pip ecosystem and categorized as mlops.

Where does the MLflow vulnerability data come from?

Vulnerability data is sourced from NVD and GitHub Advisory, enriched with CVSS, EPSS, exploit signals, and patch status for each CVE.

How do I assess the risk of MLflow?

Review each CVE below — every entry shows CVSS severity, EPSS exploit probability, exploitation signals, and whether a patched version is available.

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