| Component | MLflow |
| Severity | high (CVSS 7.1) |
| CVSS vector | CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N |
| Published (NVD) | 2026-05-11 |
| Last modified | 2026-06-17 |
| Affected versions | mlflow < 3.9.0 |
| Fixed in | 3.9.0 |
| Weakness | CWE-918 |
| CISA KEV | not listed |
NVD description
A Server-Side Request Forgery (SSRF) vulnerability exists in MLflow versions prior to 3.9.0. The `_create_webhook()` function in `mlflow/server/handlers.py` accepts a user-controlled `url` parameter without validation, and the `_send_webhook_request()` function in `mlflow/webhooks/delivery.py` sends HTTP POST requests to this attacker-controlled URL. This allows an authenticated attacker to force the MLflow backend to send HTTP requests to internal services, cloud metadata endpoints, or arbitrary external servers. The lack of input sanitization, URL scheme filtering, or allowlist validation on the webhook URL enables exploitation, potentially leading to cloud credential theft, internal network access, and data exfiltration.
What to do
- Upgrade MLflow to
3.9.0or later. - Do not expose the component's API or UI to the internet without authentication in front of it.
Sources
- NVD: CVE-2026-2393
- https://github.com/mlflow/mlflow/commit/64aa0ab7207f9c649b59ba1a5f40d82196817389
- https://huntr.com/bounties/04ef100d-06b5-4a70-95b1-b7be23aa8150
Read more
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