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.

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History

Thu, 07 May 2026 21:30:00 +0000

Type Values Removed Values Added
Description 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.
Title Azure Machine Learning Notebook Spoofing Vulnerability
First Time appeared Microsoft
Microsoft azure Machine Learning
Weaknesses CWE-79
CPEs cpe:2.3:a:microsoft:azure_machine_learning:*:*:*:*:*:*:*:*
Vendors & Products Microsoft
Microsoft azure Machine Learning
References
Metrics cvssV3_1

{'score': 8.8, 'vector': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H/E:U/RL:O/RC:C'}


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cve-icon MITRE

Status: PUBLISHED

Assigner: microsoft

Published:

Updated: 2026-05-07T20:58:51.273Z

Reserved: 2026-03-11T01:49:58.659Z

Link: CVE-2026-32207

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Awaiting Analysis

Published: 2026-05-07T22:16:33.900

Modified: 2026-05-08T15:47:29.690

Link: CVE-2026-32207

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

Updated: 2026-05-07T22:30:36Z

Weaknesses