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CVE-2025-49747

Microsoft Azure Machine Learning broken access control

9.9 CRITICALEPSS 0.68%
  1. Published18 Jul 2025

Description

Missing authorization in Azure Machine Learning allows an authorized attacker to elevate privileges over a network.

CVSS 3.1 breakdown

Attack vectorNetwork
Attack complexityLow
Privileges requiredLow
User interactionNone
ScopeChanged
ConfidentialityHigh
IntegrityHigh
AvailabilityHigh
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

Affected products

Microsoft Azure Machine Learningall versions

Remediation

No fixed version is recorded in the NVD data. Check the vendor advisory for the latest guidance.

References

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Frequently asked

Is CVE-2025-49747 being actively exploited?

CVE-2025-49747 is not in the CISA KEV catalog. Its EPSS exploit probability is 0.68%.

How severe is CVE-2025-49747?

CVE-2025-49747 has a CVSS 3.1 base score of 9.9, rated critical. EPSS estimates a 0.68% probability of exploitation.

Which products are affected by CVE-2025-49747?

Affected products include Microsoft Azure Machine Learning.

How do I fix CVE-2025-49747?

Apply the vendor's patch or advisory guidance, then verify no affected versions remain across your devices.

How Secuno handles this

Secuno correlates vulnerabilities like CVE-2025-49747 against the real software inventory on every managed device, as each hourly inventory arrives. Rather than a static severity, each match is scored in context: exploit availability, EPSS, the asset's exposure, and business criticality decide where it lands in the queue. If an affected version is present anywhere across your portfolio, it surfaces automatically with a prioritised remediation path.

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Data from the NVD, CISA KEV catalog and FIRST EPSS. CVSS 3.1 base score shown where available.