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EUVD-2026-29580

🗓️ 12 May 2026 18:30:42Reported by EUVDType 
euvd
 euvd
🔗 euvd.enisa.europa.eu👁 28 Views

Improper neutralization of special elements in output used by a downstream component in Azure Machine Learning enables network spoofing by an unauthorized attacker.

Related
Affected
Refs
ReporterTitlePublishedViews
Family
bdu_fstec
BDU FSTEC
Azure Machine Learning Spoofing
15 May 202600:00
–bdu_fstec
circl
Circl
CVE-2026-33833
12 May 202615:53
–circl
cnnvd
CNNVD
Microsoft Azure Machine Learning injection vulnerability
12 May 202600:00
–cnnvd
cve
CVE
CVE-2026-33833
12 May 202616:59
–cve
cvelist
Cvelist
CVE-2026-33833 Azure Machine Learning Notebook Spoofing Vulnerability
12 May 202616:59
–cvelist
kaspersky
Kaspersky
KLA91034 Multiple vulnerabilities in Microsoft Azure
12 May 202600:00
–kaspersky
mscve
Microsoft CVE
Azure Machine Learning Notebook Spoofing Vulnerability
12 May 202614:00
–mscve
ncsc
NCSC
Vulnerabilities in Microsoft Azure
12 May 202617:53
–ncsc
nvd
NVD
CVE-2026-33833
12 May 202618:17
–nvd
ptsecurity
Positive Technologies
PT-2026-40141
12 May 202600:00
–ptsecurity
Rows per page
[
  {
    "enisaIdVendor": [
      {
        "id": "9b9fdd0f-c9f9-3854-8388-830fa80f8e4f",
        "vendor": {
          "name": "Microsoft"
        }
      }
    ],
    "enisaIdProduct": [
      {
        "id": "c44e174f-a8e3-396c-b8e9-15eeb81d1d5a",
        "product": {
          "name": "Azure Machine Learning"
        },
        "product_version": "3.0.0 <1.7.6"
      }
    ]
  }
]

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12 May 2026 18:30Current
5.8Medium risk
Vulners AI Score5.8
CVSS 3.18.2
EPSS0.00541
28