Authenticated privilege escalation
Published Apr 30, 2025 · Updated Aug 10, 2026
Improper authorization in Microsoft Azure Machine Learning allows remote authenticated users to elevate privileges through ML Compute. Microsoft has not disclosed the affected ML Compute authorization locus or the operation that applies an incorrect access check. The required starting role and resulting privilege level are not publicly specified.
Summary
What happened
Improper authorization in Microsoft Azure Machine Learning allows remote authenticated users to elevate privileges through ML Compute. Microsoft has not disclosed the affected ML Compute authorization locus or the operation that applies an incorrect access check. The required starting role and resulting privilege level are not publicly specified.
The record
- CVE
- CVE-2025-30390
- Published
- Apr 30, 2025
- Updated
- Aug 10, 2026
- Vendor
- Microsoft
- Product
- Azure Machine Learning
- Classifications
- CWE-285, T1068
- Attack vector
- network
- Privileges
- authenticated
Timeline
How it unfolded
- Apr 30, 2025CVE publishedPublication date reported by the CVE source.
- Aug 10, 2026Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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- Affected versionversion=-
What conditions does exploitation require?
What is affected?
Published CVSS scores
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Attacks
What attackers are doing with it
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Public exploit references
No public exploit references are available in this record.
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Technologies
Your stack
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Your stack
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