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The vulnerability of the software for working with Azure Machine Learning algorithms lies in the lack of measures taken to neutralize special elements in the output data, allowing attackers to perform spoofing attacks.
🗓️ 15 May 2026 00:00:00Reported by FSTEC of Russia — Information Security Threat DatabaseType 
bdu_fstec🔗 bdu.fstec.ru👁 1 Views
| Reporter | Title | Published | Views | Family All 13 |
|---|---|---|---|---|
 | CVE-2026-33833 | 12 May 202615:53 | – | circl |
 | Microsoft Azure Machine Learning 注入漏洞 | 12 May 202600:00 | – | cnnvd |
 | CVE-2026-33833 | 12 May 202616:59 | – | cve |
 | CVE-2026-33833 Azure Machine Learning Notebook Spoofing Vulnerability | 12 May 202616:59 | – | cvelist |
 | EUVD-2026-29580 | 12 May 202618:30 | – | euvd |
 | KLA91034 Multiple vulnerabilities in Microsoft Azure | 12 May 202600:00 | – | kaspersky |
 | Azure Machine Learning Notebook Spoofing Vulnerability | 12 May 202614:00 | – | mscve |
 | Vulnerabilities in Microsoft Azure | 12 May 202617:53 | – | ncsc |
 | CVE-2026-33833 | 12 May 202618:17 | – | nvd |
 | PT-2026-40141 | 12 May 202600:00 | – | ptsecurity |
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15 May 2026 00:00Current
5.8Medium risk
Vulners AI Score5.8
CVSS 38.2
CVSS 28.5
EPSS0.00498