On April 30, 2025, Microsoft disclosed a critical security vulnerability identified as CVE-2025-30390, affecting Azure Machine Learning (Azure ML). This flaw allows authenticated attackers to escalate their privileges over a network, potentially compromising entire machine learning workloads hosted in Azure.
Technical Details
CVE-2025-30390 is categorized under CWE-285: Improper Authorization. The vulnerability arises from insufficient enforcement of authorization checks within Azure ML's compute environments. An attacker with limited privileges can exploit this weakness to gain elevated access and perform administrative-level actions.
The vulnerability has been assigned a CVSS v3.1 base score of 9.9, indicating its critical severity. The CVSS vector string is:
Code:
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H- Attack Vector (AV): Network
- Attack Complexity (AC): Low
- Privileges Required (PR): Low
- User Interaction (UI): None
- Scope (S): Changed
- Confidentiality Impact (C): High
- Integrity Impact (I): High
- Availability Impact (A): High
All versions of Azure Machine Learning compute environments are potentially affected. The vulnerability is relevant to cloud-hosted scenarios and may not directly impact on-premises solutions.
Mitigation and Response
Microsoft has published a security advisory and recommended actions. Although no public exploit is known at the time of publication, organizations using Azure ML are strongly urged to review Microsoft's guidance:
The advisory indicates that the vulnerability is not currently exploited in the wild, and exploitation is considered unlikely. However, due to the high impact, it remains a priority for remediation.
Understanding the Risk
This CVE demonstrates the risks of insufficient access control mechanisms in cloud-based machine learning platforms. In scenarios where compute resources are shared among users or teams, improper isolation and authorization logic can allow lateral movement or privilege abuse, violating the principle of least privilege (PoLP).
The SSVC (Stakeholder-Specific Vulnerability Categorization) model applied by CISA further reinforces the urgency, classifying the technical impact as total and recommending swift coordination despite no current exploitation.
Conclusion
CVE-2025-30390 is a high-priority vulnerability for any organization leveraging Azure ML. The combination of low complexity and high impact makes it critical to address, even in the absence of known exploitation. Security teams should monitor vendor advisories closely and apply any available patches or mitigations.
Source: MSRC Security Update Guide - Microsoft Security Response Center
