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.
History

Wed, 13 May 2026 11:30:00 +0000

Type Values Removed Values Added
Metrics ssvc

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


Tue, 12 May 2026 17:30:00 +0000

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'}


cve-icon MITRE

Status: PUBLISHED

Assigner: microsoft

Published:

Updated: 2026-05-13T17:58:59.201Z

Reserved: 2026-03-24T00:52:01.353Z

Link: CVE-2026-33833

cve-icon Vulnrichment

Updated: 2026-05-13T10:19:49.846Z

cve-icon NVD

Status : Awaiting Analysis

Published: 2026-05-12T18:17:05.160

Modified: 2026-05-13T15:34:52.573

Link: CVE-2026-33833

cve-icon Redhat

No data.