MLflow AI Gateway permits SSRF through an unvalidated api_base
CVE-2026-71211GHSA-h7x2-h6g9-p789
What to do
Vendor response not established. Follow the primary source's mitigation guidance and check back for a fix.
This page has no inventory attached, so it cannot say whether you are affected. A vendor fix is not proof that your deployment is fixed.
Affected packages
PyPI mlflow
- Affected
- >= 3.13.0, <= 3.15.2
- Fixed in
- no fixed version recorded
Sources
- GitHub Advisory Database and maintainer security advisories on GitHub
GitHub-reviewed advisory GHSA-h7x2-h6g9-p789 lists affected ranges: PyPI mlflow >=3.13.0 <=3.15.2
VerifiedObserved Structured GitHub Advisory Database record (type=reviewed) from the GitHub REST API.
Severity and exploitation
- Exploitation
- No confirmed exploitation recorded. Patch Next marks exploitation only from CISA KEV.
- CVSS
- 7.1 · CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N
- EPSS
- CVE-2026-71211: 0.29% estimated exploitation activity in the next 30 days; percentile 21.63 (FIRST EPSS, 2026-11-03). This is a model estimate, not proof of exploitation or customer exposure.
Source description
As published by the source; long descriptions are shortened.
MLflow's AI Gateway accepts an authconfig.apibase value when creating a gateway secret (mlflow/server/handlers.py, creategatewaysecret) with no validation of scheme, host, or IP range; the value is stored verbatim. The gateway proxy endpoint (mlflow/server/gatewayapi.py, rawproxy) subsequently issues an HTTP request to that stored apibase plus a caller-supplied path and returns the full response body. MLflow's existing SSRF guard, validatewebhookurl (which blocks non-global and metadata IPs), is never invoked anywhere in this gateway secret/proxy code path. The CreateGatewaySecret action additionally has no entry in the permission-validator map, so it requires only basic authentication rather than any specific scope, meaning any authenticated user — including read-only accounts — can create a secret pointing at an internal address and reach it via the proxy endpoint, potentially exposing cloud-instance IAM credentials via metadata services. This is related to CVE-2026-4035, which…
Dates and revisions
- Published by the source
- Last modified by the source
- Source last checked
- Revision 1 · created ·
Published from ghsa record GHSA-h7x2-h6g9-p789
Agent brief
Preview the exact text before you copy it. Commands are read-only suggestions; review them before running anything.
# Patch Next advisory brief: CVE-2026-71211 Advisory: MLflow AI Gateway permits SSRF through an unvalidated api_base IDs: CVE-2026-71211, GHSA-h7x2-h6g9-p789 Record: https://patchnext.com/advisories/cve-2026-71211 (revision 1, source checked 26 Oct 2026, 13:50 UTC) Inventory: none attached. This brief comes from a public page and does not say whether any deployment is affected. Severity: High (CVSS 7.1) Exploitation: no confirmed exploitation recorded. Patch Next confirms exploitation only from CISA KEV. Vendor response: Vendor response not established. A vendor fix does not mean a deployment is fixed. ## Affected components - PyPI mlflow: affected >= 3.13.0, <= 3.15.2 ## Suggested inspection (read-only) - `python -m pip show mlflow`: prints the installed version. Run with the environment that serves production active. ## Supported action No complete vendor fix is recorded. Follow the primary source's mitigation guidance and check this record again before closing anything. ## Required regression checks - Run the test suite and a production build. - Exercise the features that depend on mlflow. - Repeat the inspection and confirm that only fixed versions remain installed. ## Rollback considerations - Keep the previous lockfile and deployment artifact. Rolling back reinstates the vulnerable version, so apply any documented mitigation while you fix forward. ## Unresolved questions - Which deployments run an affected version? - Exploitation status can change. Check again before lowering the priority. - Mark the work resolved only after the fixed version is verified in production. ## Sources - Verified: https://github.com/advisories/GHSA-h7x2-h6g9-p789 (GitHub-reviewed advisory GHSA-h7x2-h6g9-p789 lists affected ranges: PyPI mlflow >=3.13.0 <=3.15.2) Commands are suggestions: review each one before running it.
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