CVE-2026-32207
Azure Machine Learning Notebook Spoofing Vulnerability
- State
- Published
- Severity
- 8.8 High
- Published
- May 7, 2026
- Updated
- Aug 10, 2026
- Reserved
- Mar 11, 2026
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.
Scores
| CVSS | Score | Vector | Source |
|---|---|---|---|
| 3.1 | 8.8 High | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H/E:U/RL:O/RC:C | microsoft |
Weaknesses
- CWE-79 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Affected Products
| Product | Versions |
|---|---|
Azure Machine LearningMicrosoft |
|
References
- Azure Machine Learning Notebook Spoofing Vulnerabilityvendor-advisorypatch
Every record here comes from the CVE Program’s CVE List. © 1999–2026 The MITRE Corporation. CVE is a registered trademark of The MITRE Corporation. The records are reproduced under the CVE Program terms of use.