EUVD-2026-82587

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

CVE-2026-68791

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

CVE-2026-68791

CVE-2026-68791 is an incorrect authorization vulnerability in Azure Machine Learning that allows an unauthenticated, network-based attacker to disclose information with HIGH severity (CVSS 3.1: 8.6). The attack requires no prior privileges or user interaction, and the scope is CHANGED , indicatin...

Azure Machine Learning Information Disclosure Vulnerability

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

PT-2026-95166

Name of the Vulnerable Software and Affected Versions Azure Machine Learning affected versions not specified Description Incorrect authorization allows an unauthorized attacker to disclose information over a network. Recommendations At the moment, there is no information about a newer version tha...

CVE-2026-68791: Incorrect Authorization

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

PYSEC-2026-1664 Exposure of Sensitive Information in mltable

Azure Machine Learning Compute Instance for SDK Users Information Disclosure Vulnerability...

Exposure of Sensitive Information in mltable

Azure Machine Learning Compute Instance for SDK Users Information Disclosure Vulnerability...

Azure Machine Learning Spoofing

The vulnerability of the software for working with Azure Machine Learning algorithms is related to the lack of measures taken to neutralize special elements in the output data. Exploiting this vulnerability allows a remote attacker to perform spearishing attacks...

CVE-2026-33833

Improper neutralization of special elements in output used by a downstream component 'injection' in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network...

EUVD-2026-29580

Improper neutralization of special elements in output used by a downstream component 'injection' in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network...

CVE-2026-33833

Improper neutralization of special elements in output used by a downstream component 'injection' in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network...

CVE-2026-33833 Azure Machine Learning Notebook Spoofing Vulnerability

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CVE-2026-33833 Azure Machine Learning Notebook Spoofing Vulnerability

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CVE-2026-33833

Azure Machine Learning is affected where the issue occurs in the downstream component’s output handling, described as an improper neutralization of special elements that enables network spoofing. The CVE-2026-33833 entry notes an attacker could exploit this via a network vector with no user inter...

Azure Machine Learning Notebook Spoofing Vulnerability

Improper neutralization of special elements in output used by a downstream component 'injection' in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network...

Azure Machine Learning Website Structure Spear Phishing

The vulnerability of the software for working with Azure Machine Learning algorithms is related to the lack of security measures taken to protect the website structure. Exploiting this vulnerability allows a malicious actor to perform spear-phishing attacks remotely...

KLA91034 Multiple vulnerabilities in Microsoft Azure

Multiple vulnerabilities were found in Microsoft Azure. Malicious users can exploit these vulnerabilities to spoof user interface, bypass security restrictions, gain privileges. Below is a complete list of vulnerabilities: 1. A spoofing vulnerability in Azure Machine Learning Notebook can be...

CVE-2026-33833: Improper Neutralization of Special Elements in Output Used by a Downstream Component

Improper neutralization of special elements in output used by a downstream component 'injection' in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network...

PT-2026-40141

Name of the Vulnerable Software and Affected Versions Azure Machine Learning affected versions not specified Description Improper neutralization of special elements in output used by a downstream component allows an unauthorized attacker to perform spoofing over a network. This issue can lead to...