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major vulnerability· requires attention

Impactful data-disclosure in Microsoft Azure Machine Learning, a widely used cloud service; could expose sensitive models, data, or secrets across enterprises.

Cloud

CVE-2026-68791

8.6
High
EPSS 0.54%Patch available

Azure Machine Learning incorrect authorization allows unauthorized data disclosure.

exploited
No known exploitation not in CISA KEV as of our last sync
fix
Patch available see the advisory in the references
likelihood
EPSS 0.54%top 55% of scored CVEs
Published 17 Sept 2026Analysed here 19 Sept 2026CVSS scored by the publisher (CNA)
common questions

Is CVE-2026-68791 being exploited?

Not confirmed. CVE-2026-68791 does not appear in CISA's Known Exploited Vulnerabilities catalog, which records only exploitation that has been observed and reported publicly. That is evidence of absence of a report, not evidence the flaw is unattacked. EPSS currently estimates a 0.54% probability of exploitation in the next 30 days.

How severe is CVE-2026-68791?

CVE-2026-68791 is rated High with a CVSS score of 8.6. Severity describes how bad exploitation would be, not how likely it is: pair it with exploitation evidence before deciding what to patch first.

Is there a patch for CVE-2026-68791?

Yes. A fix has been recorded for CVE-2026-68791. The vendor advisory is the authority on the exact fixed version — apply it from there rather than from a summary.

What does CVE-2026-68791 affect?

CVE-2026-68791 affects Microsoft Azure Machine Learning, Azure ML Studio, Azure ML REST APIs. Confirm the exact affected versions against the vendor advisory before deciding you are exposed.

What should I do about CVE-2026-68791?

Apply Microsoft update, review Azure ML access controls, and rotate any exposed keys/credentials.

Exploitation status reflects CISA's KEV catalog as we last synced it. Check the catalog directly.

executive summary
technical analysis
affected
Microsoft Azure Machine LearningAzure ML StudioAzure ML REST APIs
impact

Attackers can bypass authorization to read/exfiltrate Azure ML resources (models, datasets, secrets) over the network.

action required

Patch when possible

cisa ssvc

exploitation
none
automatable
yes
technical impact
partial

Assessed by CISA 18 Sept 2026 (SSVC 2.0.3).

timeline

  1. 17 Sept 2026Published
  2. 18 Sept 2026CISA SSVC assessment: exploitation none · 1 day later
  3. 19 Sept 2026Analysed by vulneraibility.com · 1 day later
  4. 31 Oct 2026CVE record last updated · 42 days later
how to fix
Remediation steps are tailored for users whose stack is affected. Add this technology to your stack to see the fix checklist.
references
1 reference in the CVE record: 1 patch

sources

  • CVE List (CVE.org): description, affected versions, references; CVE Terms of Use
  • NVD: CVSS and CPE data
  • CISA Vulnrichment (ADP): SSVC decision points
  • FIRST EPSS: exploit probability and percentile
  • Summary, impact and triage tags: written by our AI analysis pipeline from the sources above. Check them against the sources.
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