CVE-2026-33833

Azure Machine Learning Notebook Spoofing Vulnerability

Published May 12, 2026 CVSS 3.1 · 8.2 High EPSS < 1% KEV · Not listed
Description
Improper neutralization of special elements in output used by a downstream component ('injection') in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network.

Remediation

No solution or workaround provided in the CVE record

Tracking

Sign in to view the affected projects.

Advisories

No advisories available
History
Type Values Removed Values Added
Metrics ssvc

{'options': {'Automatable': 'no', 'Exploitation': 'none', 'Technical Impact': 'partial'}, 'version': '2.0.3'}

Type Values Removed Values Added
Description Improper neutralization of special elements in output used by a downstream component ('injection') in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network.
Title Azure Machine Learning Notebook Spoofing Vulnerability
First Time appeared Microsoft
Microsoft azure Machine Learning
Weaknesses CWE-74
CPEs cpe:2.3:a:microsoft:azure_machine_learning:*:*:*:*:*:*:*:*
Vendors & Products Microsoft
Microsoft azure Machine Learning
References
Metrics cvssV3_1

{'score': 8.2, 'vector': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N/E:U/RL:O/RC:C'}

Weaknesses

Sources

Status
PUBLISHED
Assigner
microsoft
Published
Updated
Aug 10, 2026, 3:13 PM
Reserved
Mar 24, 2026, 12:52 AM
Status
Analyzed
Published
May 12, 2026, 6:17 PM
Modified
Oct 26, 2026, 6:10 PM