CVE-2026-32207Critical
Azure Machine Learning Notebook Spoofing Vulnerability
Assessment
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.
- Severity
- Critical
- CVSS base score
- 8.8CVSS:3.1/
AV:N/ AC:L/ PR:N/ UI:R/ S:U/ C:H/ I:H/ A:H/ E:U/ RL:O/ RC:C - Impact
- Spoofing
- EPSS, next 30 days
- 0.5%Higher than 43.6% of scored CVEs · FIRST model run 29 Sep 2026 · about EPSS
- Public exploit code
- No Nuclei template lists it
- Exploitability
- Not assessed
- Publicly disclosed
- No
- Customer action
- Not required (service-side fix)
- Component
- Azure Machine Learning
- Weakness
- CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
- Issued by
- Microsoft
- Published
- 7 May 2026 · May 2026
- Last revised
- 7 May 2026
Updates that fix it
0 KBsNo KB listed
MSRC lists no downloadable update, which usually means a service-side fix or a release-notes update. Check the MSRC advisory.