CVE-2026-32207
High
Published: 07 May 2026
Published
07 May 2026
Modified
07 May 2026
KEV Added
—
Patch
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CVSS Score
8.8
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS Score
0.0006
18.8th percentile
Risk Priority
18
60% EPSS · 20% KEV · 20% CVSS
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.
Likely Mitigating ControlsAI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
addresses: CWE-79
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
addresses: CWE-79
Validates web inputs to reject script-related content that could produce XSS.
addresses: CWE-79
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.
Security SummaryAI
Automated synthesis unavailable for this CVE.
Details
- CWE(s)
AI Security AnalysisAI
- AI Category
- Machine Learning Libraries
- Risk Domain
- N/A
- OWASP Top 10 for LLMs 2025
- None mapped
- MITRE ATLAS Techniques
- None mapped
- Classification Reason
- Matched keywords: machine learning