Technology · PyPI
mlflow (PyPI) vulnerabilities
Updated . Rebuilt every hour.
Junglewise Threat Intelligence has tracked 88 vulnerabilities in mlflow (PyPI): 0 in the last 7 days and 7 in the last 90 days, 12 of them critical and 1 exploited in the wild. The most recent, CVE-2026-116692, was published on 27 October 2026. 5 vulnerabilities in the last four weeks, up from none in the four before. 1 critical against 0.
- Last 7 days
- 0
- Last 90 days
- 7
- Critical, all time
- 12
- Exploited in the wild
- 1
About mlflow (PyPI)
Python machine learning lifecycle platform for experiment tracking and model management.
Latest mlflow (PyPI) vulnerabilities
- CVE-2026-116692: MLflow arbitrary code execution in third-party scorer deserializationcriticalCVSS 9.8EPSS 0.7%
- CVE-2026-116691: MLflow credential leak in CrewAI autologmediumCVSS 6.5EPSS 0.2%
- CVE-2026-116690: MLflow path traversal in prompt model version artifact accesshighCVSS 7.5EPSS 0.6%
- CVE-2026-115886: MLflow unsafe deserialization in scorer endpointsmediumCVSS 6.5EPSS 0.3%
- CVE-2026-53995: MLflow FileStore path traversal in trace storagehighCVSS 8.2EPSS 0.6%
- MLflow statsmodels flavor security control bypass in pickle deserializationhighCVSS 8.8
- CVE-2026-64849: MLflow unauthenticated SSRF via unvalidated webhook redirectscriticalexploited 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-2025-1473: 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%
Most severe mlflow (PyPI) vulnerabilities
Exploited in the wild first, then by severity and CVSS score.
- CVE-2026-64849: MLflow unauthenticated SSRF via unvalidated webhook redirectscriticalexploited in the wildCVSS 9.3EPSS 9.8%
- CVE-2025-15036: MLflow path traversal in extract_archive_to_dircriticalCVSS 10EPSS 0.6%
- CVE-2025-11201: PYSEC-2026-1640 - MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution VulnerabilitycriticalCVSS 9.8EPSS 26.3%
- 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-2025-11200: PYSEC-2026-1642 - MLflow Weak Password Requirements Authentication Bypass VulnerabilitycriticalCVSS 9.8EPSS 1.4%
- CVE-2026-116692: MLflow arbitrary code execution in third-party scorer deserializationcriticalCVSS 9.8EPSS 0.7%
- 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%
Vulnerabilities per week
5 vulnerabilities in the last four weeks, up from none in the four before. 1 critical against 0. The last 13 weeks, by the week each vulnerability was published.
| Week of | Bar | Vulns | Critical |
|---|---|---|---|
| 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 | |
| 28 Sep 2026 | 0 | 0 | |
| 5 Oct 2026 | 0 | 0 | |
| 12 Oct 2026 | 0 | 0 | |
| 19 Oct 2026 | 2 | 0 | |
| 26 Oct 2026 | 3 | 1 | |
| 2 Nov 2026 | 0 | 0 | |
| 9 Nov 2026 | 0 | 0 |
Embed a badge
A live badge for a README, a status page or an internal wiki: how many mlflow (PyPI) vulnerabilities were published in the last 7 days and how many of them are critical, refreshed hourly.
[](https://junglewise.ai/threats/technologies/mlflow)<a href="https://junglewise.ai/threats/technologies/mlflow"><img src="https://junglewise.ai/threats/technologies/mlflow/badge.svg" alt="mlflow (PyPI) vulnerabilities" /></a>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, and this page as text at https://junglewise.ai/threats/technologies/mlflow.md, 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, 13 November 2026.