8.8
CVE-2026-32207
- EPSS 0.05%
- Veröffentlicht 07.05.2026 20:58:51
- Zuletzt bearbeitet 08.05.2026 19:55:25
- Quelle secure@microsoft.com
- CVE-Watchlists
- Unerledigt
Azure Machine Learning Notebook Spoofing Vulnerability
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.Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Microsoft ≫ Azure Machine Learning Version-
VulnDex Vulnerability Enrichment
Diese Information steht angemeldeten Benutzern zur Verfügung. 
Login
Login| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.05% | 0.161 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| nvd@nist.gov | 6.1 | 2.8 | 2.7 |
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
|
| secure@microsoft.com | 8.8 | 2.8 | 5.9 |
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
|
CWE-79 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.