🛡️ CVE-2026-33833 — azure-machine-learning

🟠 CVSS 8.2 — High ✅ No Known Exploit CWE-74 NVD
8.2
CVSS Score
0 Low4 Medium7 High9 Critical10

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.

How this vulnerability can be exploited

This issue can be reached over the network, attack complexity is low, an attacker needs no privileges on the target. A user must be tricked into taking some action. The scope is changed, meaning a successful attack can affect components beyond the vulnerable one. Rated impact: confidentiality high, integrity low, availability none.

Weakness class

CVE-2026-33833 is classified as CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection'). The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or…

Affected software

CVE-2026-33833 is recorded against 2 packages.

  • azure-machine-learning
  • unknown

Timeline and source

Published on 12 May 2026 and last revised on 18 June 2026. No public exploit is currently recorded for this entry. Record sourced from NVD.

References

msrc.microsoft.com

Details

Severity HIGH
CVSS Score 8.2
CVSS Vector CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N
CWE CWE-74
Public Exploit ✅ No
Source NVD
Published 2026-05-12
Updated 2026-08-11
Modified 2026-06-18
Fix URL N/A

Affected Packages

Software From version Fixed in
azure-machine-learning — —
unknown — —

Similar Threats

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