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CVE-2026-64849

Published: Aug 17, 2026Modified: Oct 5, 2026CISA KEV

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9.3
Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N
Exploitability: 3.9 / Impact: 4.7
Source: security-advisories@github.com (Secondary)

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.

Affected (1)

Products: Lfprojects: Mlflow
1 product
Mlflow
Configuration A
1 vulnerable
Vulnerable SoftwareAffected Versions
3.3.0 ≤ version < 3.15.0

References (6)

Source: security-advisories@github.com
ExploitIssue TrackingMitigation
Source: security-advisories@github.com
Issue TrackingPatch
Source: security-advisories@github.com
Release Notes
Source: security-advisories@github.com
ExploitVendor Advisory
Source: 134c704f-9b21-4f2e-91b3-4a467353bcc0
US Government Resource

Timeline

No history available yet.