CVE-2026-68791: CWE-863: Incorrect Authorization in Microsoft Azure Machine Learning
CVE-2026-68791 is a high-severity vulnerability in Microsoft Azure Machine Learning involving incorrect authorization. This flaw allows an unauthorized attacker to disclose sensitive information over a network. The vulnerability has been officially fixed by Microsoft. Since Azure Machine Learning is a cloud service, Microsoft manages the remediation on their side. There are no known exploits in the wild at this time.
AI Analysis
Technical Summary
CVE-2026-68791 is an incorrect authorization vulnerability (CWE-863) in Microsoft Azure Machine Learning that permits unauthorized attackers to disclose information over a network. The CVSS v3.1 base score is 8.6, reflecting a high severity with network attack vector, low attack complexity, no privileges or user interaction required, and a scope change. Microsoft has issued an official fix and manages remediation for this cloud service. No known active exploitation has been reported.
Potential Impact
An attacker without any privileges or user interaction can exploit this vulnerability remotely to disclose sensitive information from Azure Machine Learning. The impact is confidentiality loss without affecting integrity or availability. The scope is changed, meaning the vulnerability affects resources beyond the initially vulnerable component.
Mitigation Recommendations
Microsoft has released an official fix for this vulnerability and manages remediation for Azure Machine Learning as a cloud service. Users should ensure their Azure Machine Learning instances are updated according to Microsoft's guidance at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-68791. No additional user action is required beyond applying the official fix.
CVE-2026-68791: CWE-863: Incorrect Authorization in Microsoft Azure Machine Learning
Description
CVE-2026-68791 is a high-severity vulnerability in Microsoft Azure Machine Learning involving incorrect authorization. This flaw allows an unauthorized attacker to disclose sensitive information over a network. The vulnerability has been officially fixed by Microsoft. Since Azure Machine Learning is a cloud service, Microsoft manages the remediation on their side. There are no known exploits in the wild at this time.
CVSS v3.1
Score 8.6high
Affected software
Microsoft
Azure Machine Learning
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-68791 is an incorrect authorization vulnerability (CWE-863) in Microsoft Azure Machine Learning that permits unauthorized attackers to disclose information over a network. The CVSS v3.1 base score is 8.6, reflecting a high severity with network attack vector, low attack complexity, no privileges or user interaction required, and a scope change. Microsoft has issued an official fix and manages remediation for this cloud service. No known active exploitation has been reported.
Potential Impact
An attacker without any privileges or user interaction can exploit this vulnerability remotely to disclose sensitive information from Azure Machine Learning. The impact is confidentiality loss without affecting integrity or availability. The scope is changed, meaning the vulnerability affects resources beyond the initially vulnerable component.
Mitigation Recommendations
Microsoft has released an official fix for this vulnerability and manages remediation for Azure Machine Learning as a cloud service. Users should ensure their Azure Machine Learning instances are updated according to Microsoft's guidance at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-68791. No additional user action is required beyond applying the official fix.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- microsoft
- Date Reserved
- 2026-07-31T16:33:08.216Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- official-fix
- Is Cloud Service
- true
- Vendor Advisory Urls
- [{"url":"https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-68791","vendor":"Microsoft"}]
Threat ID: 6aac71a655bf5e2cf50b5a63
Added to database: 09/17/2026, 23:03:02 UTC
Last enriched: 09/17/2026, 23:17:10 UTC
Last updated: 09/17/2026, 23:26:14 UTC
Views: 5
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