CVE-2026-33866Medium· 4.3▾ SunlitMLflow is vulnerable to an authorization bypass affecting the AJAX endpoint
▾ Sunlit zone — Low / medium · no exploitation signal
impact 23.7 · likelihood 0.1 · exploitation 0
Need a working PoC? Pro members can cast a request and our team develops one — it lands right here.
Exploit-prediction probability, daily snapshots since Sep 12.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via OSV
Last analysed / modified upstream
0.4%
MLflow is vulnerable to an authorization bypass affecting the AJAX endpoint used to download saved model artifacts. Due to missing access‑control validation, a user without permissions to a given experiment can directly query this endpoint and retrieve model artifacts they are not authorized to access.
This issue affects MLflow version through 3.10.1
mlflow < 3.11.0rc0Upgrade to a patched release:
mlflow 3.11.0rc0Connected by shared product, vendor, weakness, or advisory.
CVE-2025-15036Critical· 9.6MLFlow path traversal vulnerability
CVE-2025-15379Critical· 10.0A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function
CVE-2026-8147High· 8.1MLflow: trace API endpoints lack proper authorization validators
CVE-2026-71211High· 7.1MLflow's AI Gateway accepts an auth_config.api_base value when creating a gateway secret (mlflow/server/handlers.py, _create_gateway_secret) with no validation of scheme, host, or IP range; the value is stored verbatim
CVE-2026-0545Critical· 9.8In mlflow/mlflow, the FastAPI job endpoints under `/ajax-api/3.0/jobs/*` are not protected by authentication or authorization when the `basic-auth` app is enabled
CVE-2026-10803Low· 3.6MLflow: Deterministic sampling in dataset digest enables predictable collisions