CVE-2026-32207

Azure Machine Learning Notebook Spoofing Vulnerability

Published May 7, 2026 CVSS 3.1 · 8.8 High EPSS < 1% KEV · Not listed
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.

Remediation

No solution or workaround provided in the CVE record

Tracking

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Advisories

No advisories available
History
Type Values Removed Values Added
Metrics ssvc

{'options': {'Automatable': 'no', 'Exploitation': 'none', 'Technical Impact': 'total'}, 'version': '2.0.3'}

Type Values Removed Values Added
CPEs cpe:2.3:a:microsoft:azure_machine_learning:-:*:*:*:*:*:*:*
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'}

Weaknesses

Sources

Status
PUBLISHED
Assigner
microsoft
Published
Updated
Aug 10, 2026, 3:12 PM
Reserved
Mar 11, 2026, 1:49 AM
Status
Analyzed
Published
May 7, 2026, 10:16 PM
Modified
Oct 26, 2026, 8:10 PM