Technology · PyPI
mlflow (PyPI) vulnerabilities
Updated . Rebuilt every hour.
Junglewise Threat Intelligence has tracked 82 vulnerabilities in mlflow (PyPI): 0 in the last 7 days and 37 in the last 90 days, 9 of them critical and 1 exploited in the wild. The most recent, MLflow statsmodels flavor security control bypass in pickle deserialization, was published on 1 September 2026.
- Last 7 days
- 0
- Last 90 days
- 37
- Critical, all time
- 9
- Exploited in the wild
- 1
About mlflow (PyPI)
An open-source platform for managing the end-to-end machine learning lifecycle.
Latest mlflow (PyPI) vulnerabilities
- MLflow statsmodels flavor security control bypass in pickle deserializationhighCVSS 8.8
- CVE-2026-64849: MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to…criticalexploited in the wildCVSS 9.3EPSS 9.8%
- CVE-2026-71211: MLflow AI Gateway SSRF via unvalidated api_basehighCVSS 7.1EPSS 0.3%
- CVE-2025-10279: PYSEC-2026-1639 - mlflow Creates of Temporary File in Directory with Insecure PermissionslowCVSS 3EPSS 0.2%
- CVE-2025-14279: PYSEC-2026-1656 - MLFlow is vulnerable to DNS rebinding attacks due to a lack of Origin header validationlowCVSS 3EPSS 0.2%
- CVE-2025-11201: PYSEC-2026-1640 - MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution VulnerabilitylowCVSS 3EPSS 27.0%
- CVE-2025-11200: PYSEC-2026-1642 - MLflow Weak Password Requirements Authentication Bypass VulnerabilitylowCVSS 3EPSS 1.5%
- CVE-2025-1473: PYSEC-2026-1646 - MLflow Cross-Site Request Forgery (CSRF) vulnerabilitylowCVSS 3.1EPSS 0.2%
- CVE-2025-0453: PYSEC-2026-1637 - MLflow Uncontrolled Resource Consumption vulnerabilitylowCVSS 3EPSS 11.0%
- CVE-2024-8859: PYSEC-2026-1638 - MLflow has a Local File Read/Path Traversal in dbfslowCVSS 3EPSS 2.7%
- CVE-2024-6838: PYSEC-2026-1658 - MLflow Uncontrolled Resource Consumption vulnerabilitylowCVSS 3EPSS 0.7%
- CVE-2024-3099: PYSEC-2026-1645 - Undefined Behavior in mlflowlowCVSS 3.1EPSS 0.4%
- CVE-2024-37061: PYSEC-2026-1657 - MLFlow improper input validationlowCVSS 3.1EPSS 0.9%
- CVE-2024-37060: PYSEC-2026-1647 - MLFlow unsafe deserializationlowCVSS 3.1EPSS 0.8%
- CVE-2024-37059: PYSEC-2026-1660 - MLFlow unsafe deserializationlowCVSS 3.1EPSS 0.6%
- CVE-2024-37057: PYSEC-2026-1654 - MLFlow unsafe deserializationlowCVSS 3.1EPSS 0.6%
- CVE-2024-37058: PYSEC-2026-1648 - MLFlow unsafe deserializationlowCVSS 3.1EPSS 0.6%
- CVE-2024-37052: PYSEC-2026-1643 - MLFlow unsafe deserializationlowCVSS 3.1EPSS 0.7%
- CVE-2024-37055: PYSEC-2026-1663 - MLFlow unsafe deserializationlowCVSS 3.1EPSS 0.6%
- CVE-2024-37054: PYSEC-2026-1651 - MLFlow unsafe deserializationlowCVSS 3.1EPSS 0.7%
- CVE-2024-37053: PYSEC-2026-1636 - MLFlow unsafe deserializationlowCVSS 3.1EPSS 0.6%
- CVE-2024-37056: PYSEC-2026-1644 - MLFlow unsafe deserializationlowCVSS 3.1EPSS 0.6%
- CVE-2024-1560: PYSEC-2026-1641 - mlflow vulnerable to Path TraversallowCVSS 3EPSS 0.9%
- CVE-2024-1593: PYSEC-2026-1649 - mlflow vulnerable to Path TraversallowCVSS 3EPSS 0.7%
- CVE-2024-1558: PYSEC-2026-1653 - mlflow vulnerable to Path TraversallowCVSS 3EPSS 0.9%
Most severe mlflow (PyPI) vulnerabilities
Exploited in the wild first, then by severity and CVSS score.
- CVE-2026-64849: MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to…criticalexploited in the wildCVSS 9.3EPSS 9.8%
- CVE-2025-15036: MLflow path traversal in extract_archive_to_dircriticalCVSS 10EPSS 0.6%
- CVE-2026-0545: MLflow authentication bypass in FastAPI job endpointscriticalCVSS 9.8EPSS 4.4%
- CVE-2025-15379: MLflow command injection in model serving container initializationcriticalCVSS 9.8EPSS 2.4%
- CVE-2026-0596: MLflow command injection in model serving via model_uricriticalCVSS 9.6EPSS 1.3%
- CVE-2026-2611: MLflow MLflow Assistant improper origin validation in /ajax-apicriticalCVSS 9.6EPSS 0.4%
- CVE-2025-15031: MLflow path traversal in pyfunc extractioncriticalCVSS 9.1EPSS 0.9%
- CVE-2026-4035: MLflow AI Gateway credential exfiltration via environment variable resolutioncriticalCVSS 9.1EPSS 0.7%
- CVE-2026-2651: MLflow missing authorization in multipart upload endpointscriticalCVSS 9EPSS 0.5%
- CVE-2025-14287: MLflow command injection in SageMaker container parameterhighCVSS 8.8EPSS 1.5%
Vulnerabilities per week
The last 13 weeks, by the week each vulnerability was published.
| Week of | Bar | Vulns | Critical |
|---|---|---|---|
| 29 Jun 2026 | 6 | 0 | |
| 6 Jul 2026 | 28 | 0 | |
| 13 Jul 2026 | 0 | 0 | |
| 20 Jul 2026 | 0 | 0 | |
| 27 Jul 2026 | 0 | 0 | |
| 3 Aug 2026 | 1 | 0 | |
| 10 Aug 2026 | 0 | 0 | |
| 17 Aug 2026 | 1 | 1 | |
| 24 Aug 2026 | 0 | 0 | |
| 31 Aug 2026 | 1 | 0 | |
| 7 Sep 2026 | 0 | 0 | |
| 14 Sep 2026 | 0 | 0 | |
| 21 Sep 2026 | 0 | 0 |
How this is built
Junglewise Threat Intelligence collects vulnerabilities from NVD, GitHub Security Advisories, OSV, the CISA Known Exploited Vulnerabilities catalog, FIRST EPSS and vendor advisories, and matches each one to the technologies and vendors it affects. Dates are the date a vulnerability was published, in UTC.
The pages are rebuilt from the database every hour. Frozen weekly and monthly reports never change once published, so they can be cited.
Use this data
The same data is at https://junglewise.ai/threats/technologies/mlflow.json, for scripts and language models. It is free to reuse under CC BY 4.0 with a link back to this page.
Cite as: Junglewise Threat Intelligence, "mlflow (PyPI) vulnerabilities", https://junglewise.ai/threats/technologies/mlflow, 26 September 2026.