High severity · published May 12, 2026
CVE-2026-33833
Azure Machine Learning Notebook Spoofing Vulnerability
8.2
CVSS
0.5%
EPSS
No
On KEV
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.
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
Required
Confidentiality
High
Integrity
Low
Availability
None
Scope
Changed
Exploitation
Is it being used?
Exploit prediction (EPSS)0.5% · higher than 43% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
AM
Azure Machine Learning · Microsoft
3.0.0 before 1.7.6 · source: vendor, NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2026-33833
CVE.org
https://www.cve.org/CVERecord?id=CVE-2026-33833
Vendor Advisory
https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33833
More from Azure Machine Learning
8.8
CVE-2025-47995
Azure Machine Learning Elevation of Privilege Vulnerability
8.8
CVE-2025-49746
Azure Machine Learning Elevation of Privilege Vulnerability
8.8
CVE-2025-49747
Azure Machine Learning Elevation of Privilege Vulnerability
8.8
CVE-2025-30390
Azure ML Compute Elevation of Privilege Vulnerability
7.5
CVE-2026-68791
Azure Machine Learning Information Disclosure Vulnerability
