CVE-2026-32207

Improper neutralization of input during web page generation ('cross-site scripting') in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network.

CVSS v3 8.8 HIGH

8.8^/10

CVSS v3 : HIGH

Vector :

Exploitability : 2.8 / Impact : 5.9

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required NONE

User Interaction REQUIRED

Confidentiality Impact HIGH

Integrity Impact HIGH

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-32207	Vendor Advisory

Configurations

Configuration 1 (hide)

cpe:2.3:a:microsoft:azure_machine_learning:-:*:*:*:*:*:*:*

History

26 Oct 2026, 20:10

Type	Values Removed	Values Added
Summary		(es) Neutralización incorrecta de la entrada durante la generación de páginas web (’cross-site scripting’) en Azure Machine Learning permite a un atacante no autorizado realizar suplantación de identidad a través de una red.

Information

Published : 2026-05-07 22:16

Updated : 2026-10-26 20:10

NVD link : CVE-2026-32207

Mitre link : CVE-2026-32207

CVE.ORG link : CVE-2026-32207

JSON object : View

Products Affected

microsoft

azure_machine_learning

CWE

CWE-79

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

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