HighVulnerability

CVE-2026-68791: Azure Machine Learning incorrect authorization allows information disclosure

Source: NVD(opens in a new tab)
Identifier: CVE-2026-68791
Published: September 17, 2026
Record updated: October 9, 2026

Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.5%

Summary

Incorrect authorization in Azure Machine Learning allows an unauthorized attacker to disclose information over a network. The source gives no affected versions, attack preconditions or further technical detail.

Mitigation

The source does not state a fix yet. Check the original advisory for updates.

Details

Scores and exploitation

CVSS score: 8.6(high)
CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N
Attack vector: network
Attack complexity: low
Privileges required: none
User interaction: none
EPSS: 0.5%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 4, 2026.
Disclosure date: September 17, 2026

Weaknesses and techniques

Weakness (CWE): CWE-863
Attack pattern (CAPEC): CAPEC-122

Affected

Vendors: Microsoft

Classification

Attack type: Data extraction
Attack sophistication: Moderate
AI component targeted: Inference
Impact: Confidentiality
Labels: security

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-68791

First tracked: September 17, 2026 at 08:07 PM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 85% (self-assessed)

Summary

Mitigation

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