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 1 of 4)

Severity CVE ID Summary CVSS Published
UNKNOWN CVE-2026-79721 MLflow: malicious model artifact enables RCE on load -- Sep 8, 2026 MEDIUM CVE-2026-86332 RHOAI dashboard: broken authz leaks NIM/NGC secrets 6.5 Sep 7, 2026 HIGH GHSA-gqvg-gmmx-x4hm MLflow: statsmodels flavor bypasses pickle RCE guard 8.8 Sep 1, 2026 MEDIUM CVE-2026-69146 MLflow: missing authZ lets users forge dataset lineage 6.5 Aug 17, 2026 HIGH CVE-2026-69148 MLflow: missing authz check leaks private artifacts 7.1 Aug 17, 2026 CRITICAL CVE-2026-64849 MLflow: unauth SSRF via webhook hits cloud metadata 9.3 Aug 17, 2026 HIGH CVE-2026-18950 odh-dashboard: unvalidated roleRef enables cluster-admin 8.8 Aug 10, 2026 HIGH CVE-2026-18949 ODH Dashboard: SA token abuse escalates to cluster-admin 8.8 Aug 10, 2026 HIGH CVE-2026-71211 MLflow AI Gateway: SSRF via unvalidated api_base 7.1 Aug 5, 2026 HIGH CVE-2026-8147 MLflow: auth bypass allows cross-experiment trace access 8.1 Jul 2, 2026 CRITICAL CVE-2026-2651 MLflow: auth bypass on artifact uploads enables RCE 9.0 May 25, 2026 LOW CVE-2026-10803 MLflow: weak dataset hash allows integrity bypass 3.6 Jun 4, 2026 HIGH CVE-2026-4035 MLflow: AI Gateway leaks cloud credentials via env injection 7.7 Jun 3, 2026 MEDIUM CVE-2026-3198 MLflow: auth bypass exposes gateway secrets and keys 6.5 Jun 2, 2026 MEDIUM CVE-2026-2734 MLflow: missing authz exposes all model versions 6.5 May 21, 2026 CRITICAL CVE-2026-2611 MLflow: cross-origin bypass enables RCE via AI agent 9.6 May 19, 2026 HIGH CVE-2026-4137 MLflow: insecure tmp dir perms enable model artifact RCE 7.0 May 18, 2026 HIGH CVE-2026-2652 MLflow: auth bypass exposes Job API and trace injection 8.6 May 15, 2026 HIGH CVE-2026-2614 MLflow: path traversal allows unauthenticated file read 7.5 May 11, 2026 HIGH CVE-2026-2393 MLflow: SSRF in webhook URL enables cloud credential theft 7.1 May 11, 2026 HIGH CVE-2026-44244 GitPython: git config injection enables hook RCE 7.8 May 6, 2026 MEDIUM CVE-2026-33866 MLflow: auth bypass exposes model artifacts across experiments 4.3 Apr 7, 2026 MEDIUM CVE-2026-33865 MLflow: stored XSS via MLmodel YAML artifact upload -- Apr 7, 2026 CRITICAL CVE-2026-0545 MLflow: auth bypass in job API enables unauthenticated RCE 9.1 Apr 3, 2026 CRITICAL CVE-2026-0596 MLflow: command injection via model_uri in mlserver mode 9.6 Mar 31, 2026

Showing 1–25 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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