Weak Authentication Vulnerability in Azure Machine Learning by Microsoft
CVE-2025-47995

6.5MEDIUM

Key Information:

Vendor

Microsoft

Vendor
CVE Published:
18 July 2025

What is CVE-2025-47995?

A vulnerability in Azure Machine Learning allows authorized attackers to exploit weak authentication mechanisms. This flaw enables attackers to elevate their privileges within the network, potentially granting unauthorized access to sensitive data and system controls. Organizations using Azure Machine Learning should assess their security practices and implement stronger authentication measures to mitigate the risk associated with this vulnerability.

Affected Version(s)

Azure Machine Learning Unknown

References

CVSS V3.1

Score:
6.5
Severity:
MEDIUM
Confidentiality:
High
Integrity:
None
Availability:
High
Attack Vector:
Network
Attack Complexity:
Low
Privileges Required:
Low
User Interaction:
None
Scope:
Unchanged

Timeline

  • Vulnerability published

  • Vulnerability Reserved

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CVE-2025-47995 : Weak Authentication Vulnerability in Azure Machine Learning by Microsoft