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Azure Machine Learning EUVDEUVD-2026-29580

| CVE-2026-33833 HIGH
Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') (CWE-74)
2026-05-12 microsoft GHSA-mq64-7vwv-8j4j
Authentication Bypass Microsoft Azure Machine Learning
8.2
CVSS 3.1 · Vendor: microsoft
Temporal: 7.1
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Severity by source

Vendor (microsoft) PRIMARY
8.2 HIGH
AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N
ENISA EUVD
HIGH
qualitative
CIRCL (temporal)
7.1 HIGH
cvss

Primary rating from Vendor (microsoft).

CVSS VectorVendor: microsoft

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
Required
Scope
Changed
Confidentiality
High
Integrity
Low
Availability
None

Lifecycle Timeline

1
CVE Published
May 12, 2026 - 16:59 nvd
HIGH 8.2

DescriptionCVE.org

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.

Analysis

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.

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EUVD-2026-29580 vulnerability details – vuln.today
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