EUVD Vulnerability Catalog Actively Exploited (KEV)

EUVD-2026-60473

Severity: CRITICAL Base Score: 9.3 CVSS Version: 3.1

Vulnerability Description

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Starting in 3.3.0 and prior to 3.15.0, the unauthenticated POST /api/2.0/mlflow/webhooks/{id}/test endpoint calls _validate_webhook_url() in mlflow/utils/validation.py only for the original URL while mlflow/webhooks/delivery.py follows redirects and re-resolves the hostname without pinning the validated address, allowing attackers to reach internal or cloud metadata services and receive response_status and response_body. This issue is fixed in version 3.15.0.

CVSS Vector Analysis

Below is the complete, human-readable breakdown of the CVSS metric string: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N

▪ Attack Vector (AV): Network

▪ Attack Complexity (AC): Low

▪ Privileges Required (PR): None

▪ User Interaction (UI): None

▪ Scope (S): Changed

▪ Confidentiality Impact (C): High

▪ Integrity Impact (I): Low

▪ Availability Impact (A): None

Affected Vendors & Systems

Vendor mlflow

References & Advisory Links

Metadata Profile

Database Authority

European Union Agency for Cybersecurity (ENISA) EUVD

Assigner

GitHub_M

EPSS Probability

9.84

Known Aliases

PYSEC-2026-3687 GHSA-7gwp-5pfp-969j CVE-2026-64849

Published On

2026-08-17

Last Updated

2026-10-02

Exploited Since

2026-08-19