CVE-2026-33833: Improper neutralization of special elements in output used by a downstream component ('injection') in Azure Machine Lear
Summary
CVE-2026-33833 is a vulnerability in Azure Machine Learning where special characters in output are not properly filtered before being used by another component, allowing an attacker to perform spoofing (pretending to be someone or something else) over a network. The vulnerability has a CVSS score (a 0-10 severity rating) of 4.0, indicating moderate severity. This type of flaw is known as an injection vulnerability (CWE-74), where untrusted data can be used to manipulate downstream processes.
Vulnerability Details
8.2(high)
EPSS: 0.0%
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N
network
low
none
required
May 12, 2026
Classification
Taxonomy References
Affected Vendors
Related Issues
Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-33833
First tracked: May 12, 2026 at 08:09 PM
Classified by LLM (prompt v3) · confidence: 75%