Paper/Archive/CVE-2026-64849

CVE-2026-64849

mlflow mlflow — MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)

Description · from the CVE record

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

ProductAffectedFixed inSource
mlflow>= 3.3.0, < 3.15.0–CNA

Scores by source

GitHub_M (CNA)9.3CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N
CISA ADPSSVCExploitation: active · Automatable: yes · Technical impact: partial

References

refgithub.com/mlflow/mlflow/security/advisories/GHSA-7gwp-5pfp-969jrefgithub.com/mlflow/mlflow/issues/24179refgithub.com/mlflow/mlflow/pull/24258refgithub.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939refgithub.com/mlflow/mlflow/releases/tag/v3.15.0refcisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2026-64849kevcisa.gov/known-exploited-vulnerabilities-catalog