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CVE-2026-33833

30
FAUCET Score

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.

First published: May 12, 2026Last modified: May 12, 2026

Impacted Technologies

VendorProductVersion(s)CPE
3.0.0CPE matchmatch criteria
cpe:2.3:a:microsoft:azure_machine_learning:3.0.0:*:*:*:*:*:*:*

CVSS Data

CVSS version used by this source: 3.1

8.2HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N

Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
REQUIRED
Scope
CHANGED
Confidentiality Impact
HIGH
Integrity Impact
LOW
Availability Impact
NONE
Exploitability Score
2.8
Impact Score
4.7
CvssVersion
3.1

Exploit Intelligence

EPSS Score
0.50%
Probability of exploitation in next 30 days
EPSS Percentile
39.8%
Percentile rank of EPSS score among Peer Group
As of 2026-07-27
Model: v2026.06.15
This CVE's current EPSS score of 0.0050 is in the 42nd percentile among its peer group of 14,852 CVEs.

Social Chatter

The average CVE in this peer group has 0.0 Twitter, 0.1 Reddit, 0.2 Bluesky, 0.1 Mastodon, and 0.2 GitHub mentions.

Media Mentions

The average CVE in this peer group has 0.3 InfoSec Media, 0.0 Vendor Blog, and 0.1 Security Researcher mentions.

Remediation

Patch Available

Vendor Patches (1)

microsoftpatch availablevia msrc
Product: Azure Machine LearningFixed in: 1.7.6
View patch

Vendor Advisories (1)

microsoft2026-May/CVE-2026-33833Important

Azure Machine Learning Notebook Spoofing Vulnerability

May 12, 2026

References

msrc.microsoft.com / update-guide/vulnerability/CVE-2026-33833
Vendor Advisory