Vulnerability Analysis
MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)
CVE-2026-64849
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. 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.
CISA KEV
Nuclei Template
SSVC: Active Exploitation
Automatable
CVSS Base Score
9.3
CRITICAL
Exploitability:3.9
Impact Score:4.8
Temporal Score:-
EPSS:1.11%
Threat Intelligence Signals
CISA KEV
YES
KEV Date Added
2026-08-19
Ransomware Use
Unknown
KEV Due Date
2026-09-02
VulnCheck In-the-Wild
No
Nuclei Template
YES
EPSS Score
1.109%
EPSS Percentile
63.3th pct
GHSA ID
GitHub Severity
CRITICAL
SSVC Exploitation
Active
SSVC Automatable
Yes
Vulnerability Class
—
Identity & Timeline
| Status | - |
| Assigning Authority | - |
| CVSS Version / Source | - |
| Reserved | - |
| Published | - |
| Patch Date (date_public) | - |
| Exploit DB Date | - |
| First GitHub PoC Date | - |
| Last Updated | - |
| Time to Patch (Days to fix) | - |
| Exploit Release Gap | - |
| PoC Release Gap | - |
| Exploit DB References | None identified |
Affected Products & Versions
| Vendor | Product | Affected Versions |
|---|---|---|
| No affected products specified. | ||
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