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HIGH · 8.8

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.

Vulnerability 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.

CVSS Score

8.8

HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
REQUIRED
Scope
UNCHANGED
Confidentiality
HIGH
Integrity
HIGH
Availability
HIGH

Affected Products

VendorProductVersions
MicrosoftAzure Machine Learning-

Related Weaknesses (CWE)

CWE-79

References

FAQ

What is CVE-2026-32207?

CVE-2026-32207 is a vulnerability with a CVSS score of 8.8 (HIGH). 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.

How severe is CVE-2026-32207?

CVE-2026-32207 has been rated HIGH with a CVSS base score of 8.8/10. Review the CVSS metrics above for detailed severity breakdown.

Is there a patch for CVE-2026-32207?

Check the references section above for vendor advisories and patch information. Affected products include: Microsoft Azure Machine Learning.