CVE-2026-32207

FAUCET Score

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.

First published: May 7, 2026Last modified: May 12, 2026

Impacted Technologies

Vendor	Product	Version(s)	CPE
		Range not provided by sourceCPE matchmatch criteria	cpe:2.3:a:microsoft:azure_machine_learning:-:::::::*

CVSS Data

CVSS version used by this source: 3.1

8.8HIGH

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 Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

Exploitability Score

2.8

Impact Score

5.9

CvssVersion

3.1

Exploit Intelligence

EPSS Score

0.58%

Probability of exploitation in next 30 days

EPSS Percentile

44.2%

Percentile rank of EPSS score among Peer Group

As of 2026-07-27

Model: v2026.06.15

This CVE's current EPSS score of 0.0058 is in the 46th percentile among its peer group of 14,855 CVEs.

Social Chatter

The average CVE in this peer group has 0.0 Twitter, 0.1 Reddit, 0.2 Bluesky, 0.1 Mastodon, and 0.2 GitHub mentions.

Media Mentions

The average CVE in this peer group has 0.3 InfoSec Media, 0.0 Vendor Blog, and 0.1 Security Researcher mentions.

Remediation

Vendor Patches (1)

microsoftvendor investigatingvia nvd_reference

View patch

Vendor Advisories (1)

microsoft2026-May/CVE-2026-32207Critical

Azure Machine Learning Notebook Spoofing Vulnerability

May 7, 2026

References

msrc.microsoft.com / update-guide/vulnerability/CVE-2026-32207

Vendor Advisory