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CVSS: 9.6EPSS: 0%CPEs: 2EXPL: 1

Path Traversal in GitHub repository mlflow/mlflow prior to 2.9.2. Path traversal en el repositorio de GitHub mlflow/mlflow anterior a 2.9.2. • https://github.com/mlflow/mlflow/commit/1c6309f884798fbf56017a3cc808016869ee8de4 https://huntr.com/bounties/b397b83a-527a-47e7-b912-a12a17a6cfb4 • CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') •

CVSS: 10.0EPSS: 0%CPEs: 1EXPL: 1

Improper Neutralization of Special Elements Used in a Template Engine in GitHub repository mlflow/mlflow prior to 2.9.2. Neutralización inadecuada de elementos especiales utilizados en un motor de plantillas en el repositorio de GitHub mlflow/mlflow anterior a 2.9.2. • https://github.com/mlflow/mlflow/commit/432b8ccf27fd3a76df4ba79bb1bec62118a85625 https://huntr.com/bounties/9e4cc07b-6fff-421b-89bd-9445ef61d34d • CWE-1336: Improper Neutralization of Special Elements Used in a Template Engine •

CVSS: 6.5EPSS: 0%CPEs: 1EXPL: 1

A reflected Cross-Site Scripting (XSS) vulnerability exists in the mlflow/mlflow repository, specifically within the handling of the Content-Type header in POST requests. An attacker can inject malicious JavaScript code into the Content-Type header, which is then improperly reflected back to the user without adequate sanitization or escaping, leading to arbitrary JavaScript execution in the context of the victim's browser. The vulnerability is present in the mlflow/server/auth/__init__.py file, where the user-supplied Content-Type header is directly injected into a Python formatted string and returned to the user, facilitating the XSS attack. Cross-Site-Scripting (XSS) Reflejadas en el repositorio de GitHub mlflow/mlflow antes de 2.9.0. • https://github.com/mlflow/mlflow/commit/28ff3f94994941e038f2172c6484b65dc4db6ca1 https://huntr.com/bounties/816bdaaa-8153-4732-951e-b0d92fddf709 • CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') •

CVSS: 7.5EPSS: 1%CPEs: 1EXPL: 1

An issue in MLFlow versions 2.8.1 and before allows a remote attacker to obtain sensitive information via a crafted request to REST API. Un problema en las versiones 2.8.1 y anteriores de MLFlow permite que un atacante remoto obtenga información confidencial a través de una solicitud manipulada a la API REST. • https://www.contrastsecurity.com/security-influencers/discovering-mlflow-framework-zero-day-vulnerability-machine-language-model-security-contrast-security •

CVSS: 10.0EPSS: 0%CPEs: 1EXPL: 1

MLflow allowed arbitrary files to be PUT onto the server. MLflow permitió PONER archivos arbitrarios en el servidor. • https://huntr.com/bounties/43e6fb72-676e-4670-a225-15d6836f65d3 • CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') •