Product:
Azure Machine Learning
Summary
Improper neutralization of input during web page generation allows an unauthorized attacker to perform spoofing over a network. This vulnerability can lead to significant security risks, including unauthorized access and data manipulation. It is crucial for users to be aware of this issue to protect their systems.
Details
| Severity | Base Score | CVE |
|---|---|---|
| HIGH | 8.8 | CVE-2026-32207 |
Exploitation
An attacker can exploit this vulnerability by crafting a malicious web page that, when visited by a user, executes scripts in the context of the user’s session. This requires user interaction, as the user must be tricked into visiting the malicious page. Once executed, the attacker can perform actions on behalf of the user, potentially leading to data theft or unauthorized actions.
Affected Products
- Azure Machine Learning: Vulnerable to cross-site scripting attacks that can lead to unauthorized access and data manipulation.
Mitigation
To mitigate this vulnerability, it is recommended to implement proper input validation and sanitization techniques in web applications. Users should also ensure that they are using the latest version of Azure Machine Learning and apply any available security updates promptly.