CVE-2026-64849
MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)
CVSS Score
9.3
EPSS Score
9.8%
EPSS Percentile
95th
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.
| CWE | CWE-918 |
| Vendor | mlflow |
| Product | mlflow |
| Published | Aug 17, 2026 |
| Last Updated | Oct 1, 2026 |
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CVSS v3 Breakdown
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Changed
Confidentiality
High
Integrity
Low
Availability
None
Affected Versions
mlflow / mlflow
< 3.15.0
References
github.com: https://github.com/mlflow/mlflow/security/advisories/GHSA-7gwp-5pfp-969j github.com: https://github.com/mlflow/mlflow/issues/24179 github.com: https://github.com/mlflow/mlflow/pull/24258 github.com: https://github.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939 github.com: https://github.com/mlflow/mlflow/releases/tag/v3.15.0 cisa.gov: https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2026-64849