Microsoft Azure Machine Learning Spoofing Vulnerability

A spoofing vulnerability has been identified in Azure Machine Learning due to improper neutralization of special elements in output, which can be exploited by an unauthorized attacker over the network. This issue affects Azure Machine Learning Notebook version 1.7.6.

Impact

Exploitation of this vulnerability could allow an attacker to impersonate another user or entity, potentially leading to unauthorized access or actions within the application.

Reproduction

To reproduce this vulnerability, an attacker could create or import a specially crafted Azure Machine Learning notebook that includes malicious styling content in a Markdown cell. When the notebook is viewed, the injected content may be rendered and could expose sensitive information displayed in the Azure Machine Learning web interface.

Remediation

Users are advised to update to the latest version of Azure Machine Learning. The security update can be downloaded from the Azure Notebooks entry on the Microsoft DevOps platform.