How severe is CVE-2026-32207?

CVE-2026-32207 has a CVSS 3.x base score of 8.8, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and user interaction. Impact on confidentiality is high, integrity high, and availability high.

Is CVE-2026-32207 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (43rd percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2026-32207?

CVE-2026-32207 affects Microsoft Azure Machine Learning. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2026-32207?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.

Does CVE-2026-32207 have an EU (EUVD) identifier?

Yes. CVE-2026-32207 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2026-28447.

When was CVE-2026-32207 published?

CVE-2026-32207 was published on 2026-05-07 and last updated on 2026-06-17.

CVE-2026-32207

CVE-2026-32207 is a high-severity vulnerability in Microsoft Azure Machine Learning with a CVSS 3.x base score of 8.8. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-79.

Key facts

Severity: High (CVSS 3.x base score 8.8)
EPSS exploit prediction: 1% (43rd percentile)
Actively exploited: Not listed in CISA KEV
EU (EUVD) id: EUVD-2026-28447
Weakness: CWE-79
Affected product: Microsoft Azure Machine Learning
Published: 2026-05-07
Last modified: 2026-06-17

Description

Improper neutralization of input during web page generation ('cross-site scripting') in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network.

Frequently asked questions

What is CVE-2026-32207?: Improper neutralization of input during web page generation ('cross-site scripting') in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network.
How severe is CVE-2026-32207?: CVE-2026-32207 has a CVSS 3.x base score of 8.8, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and user interaction. Impact on confidentiality is high, integrity high, and availability high.
Is CVE-2026-32207 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (43rd percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2026-32207?: CVE-2026-32207 affects Microsoft Azure Machine Learning. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2026-32207?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.
Does CVE-2026-32207 have an EU (EUVD) identifier?: Yes. CVE-2026-32207 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2026-28447.
When was CVE-2026-32207 published?: CVE-2026-32207 was published on 2026-05-07 and last updated on 2026-06-17.

References

https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-32207

Affected products (1)

cpe:2.3:a:microsoft:azure_machine_learning:-:*:*:*:*:*:*:*

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