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CVE-2026-4035

Estado: ModificadaAlta (7.7)—

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`.

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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.

CVSS

Probabilidad de explotación (EPSS)

EPSS (Exploit Prediction Scoring System, de FIRST) estima la probabilidad de que una vulnerabilidad sea explotada en 30 días. Complementa a CVSS (impacto) y a CISA KEV (explotación confirmada).

🎯 Técnicas ATT&CK

Cómo se explota esta vulnerabilidad y qué consigue el atacante, en el lenguaje de MITRE ATT&CK.

Inferido por reglas deterministas a partir del vector CVSS y la CWE. Solo orientativo.

🛡️ Mitigaciones ATT&CK que cubren estas técnicas

Tecnologías afectadas (1)

CWE

Referencias

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      "value": "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 `$ENV_VAR` references, which are resolved against the MLflow server's environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream `api_base`. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without `basic-auth`. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0."
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      "value": "Una vulnerabilidad en las versiones de mlflow/mlflow anteriores a la 3.11.0 permite la resolución de variables de entorno en secretos de AI Gateway, lo que puede ser explotado para exfiltrar credenciales de entorno sensibles del lado del servidor a un punto final controlado por un atacante. Este problema surge porque el campo 'api_key' en los secretos del gateway puede aceptar referencias a '$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."
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