CVE-2026-33833
Azure Machine Learning Notebook Spoofing Vulnerability
- State
- Published
- Severity
- 8.2 High
- Published
- May 12, 2026
- Updated
- Aug 10, 2026
- Reserved
- Mar 24, 2026
Description
Improper neutralization of special elements in output used by a downstream component ('injection') in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network.
Scores
| CVSS | Score | Vector | Source |
|---|---|---|---|
| 3.1 | 8.2 High | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N/E:U/RL:O/RC:C | microsoft |
Weaknesses
- CWE-74 Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
Affected Products
| Product | Versions |
|---|---|
Azure Machine LearningMicrosoft |
|
References
- Azure Machine Learning Notebook Spoofing Vulnerabilityvendor-advisorypatch
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