HighVulnerability

CVE-2026-32207: Azure Machine Learning cross-site scripting allows unauthorized spoofing

Source: NVD(opens in a new tab)
Identifier: CVE-2026-32207
Published: May 7, 2026
Record updated: October 9, 2026

Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.6%

Summary

CVE-2026-32207 is a cross-site scripting weakness (CWE-79) in Azure Machine Learning, classed by Microsoft Corporation as improper neutralization of input during web page generation. The source says an unauthorized attacker can perform spoofing over a network. NIST has not yet provided an NVD assessment, and the entry was published and last modified on 05/07/2026.

Mitigation

The source does not state a fix yet. Check the original advisory for updates.

Details

Scores and exploitation

CVSS score: 8.8(high)
CVSS vector: 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
EPSS: 0.6%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 10, 2026.
Disclosure date: May 7, 2026

Weaknesses and techniques

Weakness (CWE): CWE-79
Attack pattern (CAPEC): CAPEC-198
CAPEC-86

Affected

Vendors: Microsoft

Classification

Attack type: Other
Attack sophistication: Moderate
AI component targeted: Plugin
Impact: Integrity
Labels: security

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-32207

First tracked: May 7, 2026 at 08:08 PM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 85% (self-assessed)

Summary

Mitigation

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