# mlflow (PyPI) vulnerabilities Source: https://junglewise.ai/threats/technologies/mlflow Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats Updated: 13 November 2026, 03:07 UTC. Rebuilt every hour. Data: https://junglewise.ai/threats/technologies/mlflow.json License: CC BY 4.0 with a link back 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. ## Counts - Last 7 days: 0 - Last 30 days: 5 - Last 90 days: 7 - All time: 88 (12 critical, 1 exploited in the wild) ## 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 deserialization](https://junglewise.ai/threats/cve-2026-116692-mlflow-is-an-open-source-ai-engineering-platform-for-agents) (critical, CVSS 9.8, published 27 Oct 2026) - [CVE-2026-116691: MLflow credential leak in CrewAI autolog](https://junglewise.ai/threats/cve-2026-116691-mlflow-is-an-open-source-ai-engineering-platform-for-agents) (medium, CVSS 6.5, published 27 Oct 2026) - [CVE-2026-116690: MLflow path traversal in prompt model version artifact access](https://junglewise.ai/threats/cve-2026-116690-mlflow-is-an-open-source-ai-engineering-platform-for-agents) (high, CVSS 7.5, published 27 Oct 2026) - [CVE-2026-115886: MLflow unsafe deserialization in scorer endpoints](https://junglewise.ai/threats/cve-2026-115886-mlflow-is-an-open-source-ai-engineering-platform-for-agents) (medium, CVSS 6.5, published 23 Oct 2026) - [CVE-2026-53995: MLflow FileStore path traversal in trace storage](https://junglewise.ai/threats/cve-2026-53995-mlflow-3-17-1-and-earlier-contains-a-path-traversal-vulnerability) (high, CVSS 8.2, published 19 Oct 2026) - [MLflow statsmodels flavor security control bypass in pickle deserialization](https://junglewise.ai/threats/mlflow-statsmodels-flavor-security-control-bypass-in-pickle-c4a0165d) (high, CVSS 8.8, published 1 Sep 2026) - [CVE-2026-64849: MLflow unauthenticated SSRF via unvalidated webhook redirects](https://junglewise.ai/threats/cve-2026-64849-mlflow-server-side-request-forgery) (critical, exploited in the wild, CVSS 9.3, published 17 Aug 2026) - [CVE-2026-71211: MLflow AI Gateway SSRF via unvalidated api_base](https://junglewise.ai/threats/cve-2026-71211-mlflow-ai-gateway-ssrf-via-unvalidated-api-base) (high, CVSS 7.1, published 5 Aug 2026) - [CVE-2025-10279: PYSEC-2026-1639 - mlflow Creates of Temporary File in Directory with Insecure Permissions](https://junglewise.ai/threats/cve-2025-10279-mlflow-creates-of-temporary-file-in-directory-with-insecure) (low, CVSS 3, published 7 Jul 2026) - [CVE-2025-14279: PYSEC-2026-1656 - MLFlow is vulnerable to DNS rebinding attacks due to a lack of Origin header validation](https://junglewise.ai/threats/cve-2025-14279-mlflow-is-vulnerable-to-dns-rebinding-attacks-due-to-a-lack-of) (low, CVSS 3, published 7 Jul 2026) - [CVE-2025-1473: PYSEC-2026-1646 - MLflow Cross-Site Request Forgery (CSRF) vulnerability](https://junglewise.ai/threats/cve-2025-1473-mlflow-cross-site-request-forgery-csrf-vulnerability) (low, CVSS 3.1, published 7 Jul 2026) - [CVE-2025-0453: PYSEC-2026-1637 - MLflow Uncontrolled Resource Consumption vulnerability](https://junglewise.ai/threats/cve-2025-0453-mlflow-uncontrolled-resource-consumption-vulnerability) (low, CVSS 3, published 7 Jul 2026) - [CVE-2024-8859: PYSEC-2026-1638 - MLflow has a Local File Read/Path Traversal in dbfs](https://junglewise.ai/threats/cve-2024-8859-mlflow-has-a-local-file-read-path-traversal-in-dbfs) (low, CVSS 3, published 7 Jul 2026) - [CVE-2024-6838: PYSEC-2026-1658 - MLflow Uncontrolled Resource Consumption vulnerability](https://junglewise.ai/threats/cve-2024-6838-mlflow-uncontrolled-resource-consumption-vulnerability) (low, CVSS 3, published 7 Jul 2026) - [CVE-2024-3099: PYSEC-2026-1645 - Undefined Behavior in mlflow](https://junglewise.ai/threats/cve-2024-3099-undefined-behavior-in-mlflow) (low, CVSS 3.1, published 7 Jul 2026) - [CVE-2024-37061: PYSEC-2026-1657 - MLFlow improper input validation](https://junglewise.ai/threats/cve-2024-37061-mlflow-improper-input-validation) (low, CVSS 3.1, published 7 Jul 2026) - [CVE-2024-37060: PYSEC-2026-1647 - MLFlow unsafe deserialization](https://junglewise.ai/threats/cve-2024-37060-mlflow-unsafe-deserialization) (low, CVSS 3.1, published 7 Jul 2026) - [CVE-2024-37059: PYSEC-2026-1660 - MLFlow unsafe deserialization](https://junglewise.ai/threats/cve-2024-37059-mlflow-unsafe-deserialization) (low, CVSS 3.1, published 7 Jul 2026) - [CVE-2024-37057: PYSEC-2026-1654 - MLFlow unsafe deserialization](https://junglewise.ai/threats/cve-2024-37057-mlflow-unsafe-deserialization) (low, CVSS 3.1, published 7 Jul 2026) - [CVE-2024-37058: PYSEC-2026-1648 - MLFlow unsafe deserialization](https://junglewise.ai/threats/cve-2024-37058-mlflow-unsafe-deserialization) (low, CVSS 3.1, published 7 Jul 2026) - [CVE-2024-37052: PYSEC-2026-1643 - MLFlow unsafe deserialization](https://junglewise.ai/threats/cve-2024-37052-mlflow-unsafe-deserialization) (low, CVSS 3.1, published 7 Jul 2026) - [CVE-2024-37055: PYSEC-2026-1663 - MLFlow unsafe deserialization](https://junglewise.ai/threats/cve-2024-37055-mlflow-unsafe-deserialization) (low, CVSS 3.1, published 7 Jul 2026) - [CVE-2024-37054: PYSEC-2026-1651 - MLFlow unsafe deserialization](https://junglewise.ai/threats/cve-2024-37054-mlflow-unsafe-deserialization) (low, CVSS 3.1, published 7 Jul 2026) - [CVE-2024-37053: PYSEC-2026-1636 - MLFlow unsafe deserialization](https://junglewise.ai/threats/cve-2024-37053-mlflow-unsafe-deserialization) (low, CVSS 3.1, published 7 Jul 2026) - [CVE-2024-37056: PYSEC-2026-1644 - MLFlow unsafe deserialization](https://junglewise.ai/threats/cve-2024-37056-mlflow-unsafe-deserialization) (low, CVSS 3.1, published 7 Jul 2026) ## Most severe mlflow (PyPI) vulnerabilities - [CVE-2026-64849: MLflow unauthenticated SSRF via unvalidated webhook redirects](https://junglewise.ai/threats/cve-2026-64849-mlflow-server-side-request-forgery) (critical, exploited in the wild, CVSS 9.3, published 17 Aug 2026) - [CVE-2025-15036: MLflow path traversal in extract_archive_to_dir](https://junglewise.ai/threats/cve-2025-15036-mlflow-path-traversal-in-extract-archive-to-dir) (critical, CVSS 10, published 30 Mar 2026) - [CVE-2025-11201: PYSEC-2026-1640 - MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability](https://junglewise.ai/threats/cve-2025-11201-mlflow-tracking-server-model-creation-directory-traversal-remote) (critical, CVSS 9.8, published 29 Oct 2025) - [CVE-2026-0545: MLflow authentication bypass in FastAPI job endpoints](https://junglewise.ai/threats/cve-2026-0545-mlflow-authentication-bypass-in-fastapi-job-endpoints) (critical, CVSS 9.8, published 3 Apr 2026) - [CVE-2025-15379: MLflow command injection in model serving container initialization](https://junglewise.ai/threats/cve-2025-15379-mlflow-command-injection-in-model-serving-container) (critical, CVSS 9.8, published 30 Mar 2026) - [CVE-2025-11200: PYSEC-2026-1642 - MLflow Weak Password Requirements Authentication Bypass Vulnerability](https://junglewise.ai/threats/cve-2025-11200-mlflow-weak-password-requirements-authentication-bypass) (critical, CVSS 9.8, published 29 Oct 2025) - [CVE-2026-116692: MLflow arbitrary code execution in third-party scorer deserialization](https://junglewise.ai/threats/cve-2026-116692-mlflow-is-an-open-source-ai-engineering-platform-for-agents) (critical, CVSS 9.8, published 27 Oct 2026) - [CVE-2026-0596: MLflow command injection in model serving via model_uri](https://junglewise.ai/threats/cve-2026-0596-mlflow-command-injection-in-model-serving-via-model-uri) (critical, CVSS 9.6, published 31 Mar 2026) - [CVE-2026-2611: MLflow MLflow Assistant improper origin validation in /ajax-api](https://junglewise.ai/threats/cve-2026-2611-mlflow-mlflow-assistant-improper-origin-validation-in-ajax-api) (critical, CVSS 9.6, published 19 May 2026) - [CVE-2025-15031: MLflow path traversal in pyfunc extraction](https://junglewise.ai/threats/cve-2025-15031-mlflow-path-traversal-in-pyfunc-extraction) (critical, CVSS 9.1, published 18 Mar 2026) ## Vulnerabilities per week 5 vulnerabilities in the last four weeks, up from none in the four before. 1 critical against 0. | Week of | Vulns | Critical | Exploited | | --- | --- | --- | --- | | 17 Aug 2026 | 1 | 1 | 1 | | 24 Aug 2026 | 0 | 0 | 0 | | 31 Aug 2026 | 1 | 0 | 0 | | 7 Sep 2026 | 0 | 0 | 0 | | 14 Sep 2026 | 0 | 0 | 0 | | 21 Sep 2026 | 0 | 0 | 0 | | 28 Sep 2026 | 0 | 0 | 0 | | 5 Oct 2026 | 0 | 0 | 0 | | 12 Oct 2026 | 0 | 0 | 0 | | 19 Oct 2026 | 2 | 0 | 0 | | 26 Oct 2026 | 3 | 1 | 0 | | 2 Nov 2026 | 0 | 0 | 0 | | 9 Nov 2026 | 0 | 0 | 0 | ## Other PyPI technologies - [tensorflow (PyPI)](https://junglewise.ai/threats/technologies/pypi-tensorflow): 435 vulnerabilities - [tensorflow-cpu (PyPI)](https://junglewise.ai/threats/technologies/tensorflow-cpu): 430 vulnerabilities - [tensorflow-gpu (PyPI)](https://junglewise.ai/threats/technologies/tensorflow-gpu): 427 vulnerabilities - [open-webui (PyPI)](https://junglewise.ai/threats/technologies/open-webui): 177 vulnerabilities - [Django (PyPI)](https://junglewise.ai/threats/technologies/django): 173 vulnerabilities - [apache-airflow (PyPI)](https://junglewise.ai/threats/technologies/apache-airflow): 159 vulnerabilities - [pillow (PyPI)](https://junglewise.ai/threats/technologies/pillow): 125 vulnerabilities - [praisonai (PyPI)](https://junglewise.ai/threats/technologies/pypi-praisonai): 120 vulnerabilities - [vllm (PyPI)](https://junglewise.ai/threats/technologies/pypi-vllm): 117 vulnerabilities - [plone (PyPI)](https://junglewise.ai/threats/technologies/pypi-plone): 101 vulnerabilities - [picklescan (PyPI)](https://junglewise.ai/threats/technologies/picklescan): 86 vulnerabilities - [exiv2 (PyPI)](https://junglewise.ai/threats/technologies/exiv2): 85 vulnerabilities ## Sources NVD, GitHub Security Advisories, OSV, the CISA Known Exploited Vulnerabilities catalog, FIRST EPSS and vendor advisories. Rebuilt every hour. Cite as: Junglewise Threat Intelligence, "mlflow (PyPI) vulnerabilities", https://junglewise.ai/threats/technologies/mlflow, 13 November 2026.