Description
Incorrect authorization in Azure Machine Learning allows an unauthorized attacker to disclose information over a network.
Published: 2026-09-17
Score: 8.6 High
EPSS: < 1% Very Low
KEV: No
Impact: Information Disclosure
Action: Apply Patch
AI Analysis

Impact

The vulnerability is an incorrect authorization check in Azure Machine Learning. An attacker who does not have valid credentials could access data that should be protected, resulting in an information disclosure, impacting confidentiality. The flaw is a classic authorization-weakness scenario, classified as CWE-863.

Affected Systems

Microsoft Azure Machine Learning services are impacted. The vulnerability applies to all versions of the Azure Machine Learning product, as no specific affected version is listed.

Risk and Exploitability

The CVSS score of 8.6 indicates high severity. EPSS is < 1%, suggesting a low probability of exploitation at present, and the vulnerability is not listed in CISA KEV. The likely attack vector is network; an unauthorized user could connect to the Azure Machine Learning endpoint and exploit the missing authorization checks to retrieve data.

Generated by OpenCVE AI on September 18, 2026 at 23:02 UTC.

Remediation

No solution or workaround provided in the CVE record.

OpenCVE Recommended Actions

  • Apply the latest Azure Machine Learning patch or update to the version that contains the fix for CVE-2026-68791.
  • Confirm that access controls for Azure Machine Learning endpoints are properly configured and that only authenticated, authorized users can query or retrieve data.
  • Enable and monitor logging for unauthorized access attempts to detect potential exploitation.

Generated by OpenCVE AI on September 18, 2026 at 23:02 UTC.

Tracking

Sign in to view the affected projects.

Advisories

No advisories yet.

History

Fri, 25 Sep 2026 20:30:00 +0000

Type Values Removed Values Added
CPEs cpe:2.3:a:microsoft:azure_machine_learning:-:*:*:*:*:*:*:*

Fri, 18 Sep 2026 23:45:00 +0000

Type Values Removed Values Added
Metrics ssvc

{'options': {'Automatable': 'yes', 'Exploitation': 'none', 'Technical Impact': 'partial'}, 'version': '2.0.3'}


Thu, 17 Sep 2026 23:15:00 +0000

Type Values Removed Values Added
Description Incorrect authorization in Azure Machine Learning allows an unauthorized attacker to disclose information over a network.
Title Azure Machine Learning Information Disclosure Vulnerability
First Time appeared Microsoft
Microsoft azure Machine Learning
Weaknesses CWE-863
CPEs cpe:2.3:a:microsoft:azure_machine_learning:*:*:*:*:*:*:*:*
Vendors & Products Microsoft
Microsoft azure Machine Learning
References
Metrics cvssV3_1

{'score': 8.6, 'vector': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N/E:U/RL:O/RC:C'}


Subscriptions

Microsoft Azure Machine Learning
cve-icon MITRE

Status: PUBLISHED

Assigner: microsoft

Published:

Updated: 2026-10-08T18:12:09.965Z

Reserved: 2026-07-31T16:33:08.216Z

Link: CVE-2026-68791

cve-icon Vulnrichment

Updated: 2026-09-18T14:30:17.808Z

cve-icon NVD

Status : Analyzed

Published: 2026-09-17T23:18:08.290

Modified: 2026-09-25T20:13:26.863

Link: CVE-2026-68791

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

Updated: 2026-09-18T23:15:17Z

Weaknesses