Spoofing Vulnerability in Azure Machine Learning by Microsoft
CVE-2026-33833

8.2HIGH

Key Information:

Vendor

Microsoft
Status
Azure Machine Learning
Vendor
CVE Published:
12 May 2026

What is CVE-2026-33833?

A vulnerability exists in Azure Machine Learning due to improper neutralization of special elements in output, which can be exploited by unauthorized attackers to perform spoofing over networks. This may allow attackers to impersonate legitimate entities, leading to potential data leaks or unauthorized access. It is crucial for organizations using Azure Machine Learning to apply available patches and ensure their systems are secure against such threats.

Affected Version(s)

Azure Machine Learning 3.0.0 < 1.7.6

References

https://msrc.microsoft.com/update-guide/vulnerability/CVE...
vendor-advisorypatch

CVSS V3.1

Score:
8.2
Severity:
HIGH
Confidentiality:
High
Integrity:
Low
Availability:
High
Attack Vector:
Network
Attack Complexity:
Low
Privileges Required:
None
User Interaction:
Required
Scope:
Changed

Timeline

  • Vulnerability published

  • Vulnerability Reserved

.