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This CVE record has been updated after NVD enrichment efforts were completed. Enrichment data supplied by the NVD may require amendment due to these changes.
Description
A vulnerability in mlflow/mlflow versions prior to 3.11.0 allows for the resolution of environment variables in AI Gateway secrets, which can be exploited to exfiltrate sensitive server-side environment credentials to an attacker-controlled endpoint. This issue arises because the `api_key` field in gateway secrets can accept `$ENV_VAR` references, which are resolved against the MLflow server's environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream `api_base`. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without `basic-auth`. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0.
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Title: mlflow/mlflow de mlflow, Description: Una vulnerabilidad en las versiones de mlflow/mlflow anteriores a la 3.11.0 permite la resolución de variables de entorno en secretos de AI Gateway, lo que puede ser explotado para exfiltrar credenciales de entorno sensibles del lado del servidor a un punto final controlado por un atacante. Este problema surge porque el campo 'api_key' en los secretos del gateway puede aceptar referencias a '$ENV_VAR', que se resuelven contra el entorno del servidor de MLflow durante el tiempo de ejecución. Los secretos resueltos se envían entonces en los encabezados de autenticación del proveedor al 'api_base' ascendente configurado. Esta vulnerabilidad puede ser explotada por usuarios autenticados con bajos privilegios en implementaciones con 'basic-auth' o por usuarios no autenticados en implementaciones predeterminadas sin 'basic-auth'. El impacto incluye la posible fuga de credenciales sensibles, como credenciales de artefactos en la nube ('AWS_ACCESS_KEY_ID', 'AWS_SECRET_ACCESS_KEY'), lo que podría llevar al envenenamiento de artefactos y a la ejecución de código transfronteriza en entornos descendentes. El problema está solucionado en la versión 3.11.0.
CVE Modified by redhat-SADP7/14/2026 10:22:37 PM
Action
Type
Old Value
New Value
Changed
Affected
[{"vendor":"Red Hat","product":"Red Hat OpenShift AI (RHOAI)","defaultStatus":"affected","cpes":["cpe:/a:redhat:openshift_ai"]}]
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New CVE Received from huntr.dev6/03/2026 5:16:13 AM
Action
Type
Old Value
New Value
Added
Description
A vulnerability in mlflow/mlflow versions prior to 3.11.0 allows for the resolution of environment variables in AI Gateway secrets, which can be exploited to exfiltrate sensitive server-side environment credentials to an attacker-controlled endpoint. This issue arises because the `api_key` field in gateway secrets can accept `$ENV_VAR` references, which are resolved against the MLflow server's environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream `api_base`. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without `basic-auth`. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0.
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