CVE-2026-33833

Published: May 12, 2026Modified: Jun 18, 2026

8.2

Vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N

Exploitability: 2.8 / Impact: 4.7

Source: secure@microsoft.com (Secondary)

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.

Affected (1)

Products: Microsoft: Azure Machine Learning

Microsoft

1 product

Azure Machine Learning

Configuration A

1 vulnerable

Vulnerable Software	Affected Versions
Microsoft Azure Machine Learning	Version 3.0.0

Related CWEs

CWE-74

Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')

The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component.

References (1)

https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33833

Source: secure@microsoft.com

Vendor Advisory

Timeline

No history available yet.