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zdiNitesh Surana (@_niteshsurana) of Project Nebula, Trend Micro ResearchZDI-23-161
HistoryFeb 24, 2023 - 12:00 a.m.

Microsoft Azure Machine Learning Service Cleartext Storage of Credentials Information Disclosure Vulnerability

2023-02-2400:00:00
Nitesh Surana (@_niteshsurana) of Project Nebula, Trend Micro Research
www.zerodayinitiative.com
11
azure
machine learning
information disclosure

0.011 Low

EPSS

Percentile

84.1%

This vulnerability allows remote attackers to disclose sensitive information on Microsoft Azure. Authentication is required to exploit this vulnerability. The specific flaw exists within the handling of credentials within Azure Machine Learning Service workbooks. The issue results from storing sensitive information in plaintext. An attacker can leverage this vulnerability to disclose stored credentials, leading to further compromise.

0.011 Low

EPSS

Percentile

84.1%