Microsoft Azure Machine Learning improper authorization

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
6.8$0-$5k0.39-

Summaryinfo

A vulnerability classified as problematic was found in Microsoft Azure Machine Learning. Impacted is an unknown function. Executing a manipulation can lead to improper authorization. This vulnerability is tracked as CVE-2026-68791. The attack can be launched remotely. No exploit exists. This product is a managed service, which means users themselves cannot handle vulnerability countermeasures.

Detailsinfo

A vulnerability was found in Microsoft Azure Machine Learning (version unknown). It has been declared as problematic. This vulnerability affects an unknown function. The manipulation with an unknown input leads to a improper authorization vulnerability. The CWE definition for the vulnerability is CWE-285. The product does not perform or incorrectly performs an authorization check when an actor attempts to access a resource or perform an action. As an impact it is known to affect confidentiality. CVE summarizes:

Incorrect authorization in Azure Machine Learning allows an unauthorized attacker to disclose information over a network.

The advisory is available at msrc.microsoft.com. This vulnerability was named CVE-2026-68791 since 07/31/2026. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. The technical details are unknown and an exploit is not available. The structure of the vulnerability defines a possible price range of USD $0-$5k at the moment (estimation calculated on 09/18/2026). This vulnerability is assigned to T1548.002 by the MITRE ATT&CK project.

This product is available as a managed service. Users are not able to maintain vulnerability countermeasures themselves.

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Productinfo

Type

Vendor

Name

License

Managed Service

  • yes

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.9
VulDB Meta Temp Score: 6.8

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 8.6
CNA Vector (microsoft): 🔒

CVSSv2info

AVACAuCIA
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💳💳💳💳💳💳
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Improper authorization
CWE: CWE-285 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Status: 🔍

0-Day Time: 🔒

Timelineinfo

07/31/2026 CVE reserved
09/17/2026 +48 days VulDB entry created
09/18/2026 +0 days Advisory disclosed
09/18/2026 +0 days VulDB entry last update

Sourcesinfo

Vendor: microsoft.com

Advisory: msrc.microsoft.com
Status: Confirmed

CVE: CVE-2026-68791 (🔒)
GCVE (CVE): GCVE-0-2026-68791
GCVE (VulDB): GCVE-100-407302

Entryinfo

Created: 09/18/2026 01:24
Changes: 09/18/2026 01:24 (61)
Complete: 🔍
Cache ID: 216::103

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