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Vulnerabilities

Vulnerability · CVE-2026-33833

Improper neutralization of special elements in output used by a downstream component ('injection') in Azure Machine Learning allows an unauthorized attacker to perform…

Published May 12, 2026 · catalog updated Jun 18, 2026 · azure machine learning

Check if you run it

No confirmed exploitation is on record for CVE-2026-33833. EPSS is 0.54%. Act only if a listed version of azure machine learning is installed.

Gaps on this record

  • No vendor fix or required action is stored. Compare the linked advisory before you change production.
Severity
High8.2
Known exploitation
Not in CISA/VulnCheck KEV
EPSS
0.54%
Remediation
Advisory link
Affected products
cpe microsoft/azure machine learning

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.

Are you affected?

Enter the version you run. The result uses only the ranges stored on this record.

The check returns affected, not affected, or incomplete. It does not guess a version that is missing from the record.

  • cpe microsoft/azure machine learning3.0.0

How to fix CVE-2026-33833

What to do

Three questions, each answered from this record only. Confirm the vendor advisory before you patch.

Should you patch?

No confirmed exploitation is on record for CVE-2026-33833. EPSS is 0.54%. Act only if a listed version of azure machine learning is installed.

Which versions are affected?

Compare what you have installed with microsoft/azure machine learning 3.0.0. Compare the installed version with the linked vendor advisory before you change production.

What should an analyst verify?

CWE-74: Injection. EPSS 0.54%. There is no CISA KEV listing. No Exploit-DB or Metasploit reference is linked. Use the source links for the original advisory.

Code

The project this record applies to. Exploit listings stay in References.

No public source repository is identified for this product.

Timeline

Detection, updates, and resolution for this record.

  1. May 12, 2026 · NIST NVD

    Detected

    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.

  2. Jun 18, 2026 · NIST NVD

    Updated

    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.

Sources

  • CVE.orgVulnerability recordCVE-2026-33833

    Official CVE identifier

    cve.org
  • FIRST EPSSExploitation probabilityCVE-2026-33833

    30-day exploitation probability 0.5%

    first.org
  • NIST NVDVulnerability recordCVE-2026-33833

    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.

    nvd.nist.gov

References

Freshness

Last verified in this catalog Oct 18, 2026. Significant claims (KEV, EPSS, CVSS, affected ranges) come from the source rows above — open the original publisher for the authoritative advisory.