CVE-2026-64849

CriticalActively exploited (CISA KEV)

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.

SeverityCritical
CVSS9.3
Exploit probability—
ProductMLflow
PublishedAug 17, 2026
First seenAug 17, 2026
Added to KEVAug 19, 2026

How to fix

CISA required action

Apply mitigations in accordance with vendor instructions, ensuring compliance with CISA’s BOD 26-04 Prioritizing Security Updates Based on Risk (see URL in Notes) guidance and CISA’s “Forensics Triage Requirements” (see URL in Notes). Follow applicable BOD 26-04 guidance for cloud services or discontinue use of the product if mitigations are unavailable. Stakeholders are responsible for evaluating each asset's internet exposure and ensuring adherence to BOD 26-04 patching guidelines.

CISA due date: Sep 2, 2026
Update
  • lfprojects mlflow3.15.0 or later
  • mlflow3.15.0 or later

Affected products

ProductAffected versionsFixed in
lfprojects mlflow3.3.0 ≤ v < 3.15.03.15.0
mlflowPyPI3.3.0 ≤ v < 3.15.0, v < 3.15.03.15.0

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