CVE-2023-35625: Exposure of Sensitive Information to an Unauthorized Actor
| Reporter | Title | Published | Views | Family All 20 |
|---|---|---|---|---|
 | CVE-2023-35625 | 12 Dec 202318:15 | – | attackerkb |
 | The vulnerability of the software for working with Azure Machine Learning algorithms lies in the lack of protection for service data, which allows a malicious actor to gain unauthorized access to the device. | 6 Jan 202400:00 | – | bdu_fstec |
 | Microsoft Azure Machine Learning Security Vulnerability | 12 Dec 202300:00 | – | cnnvd |
 | CVE-2023-35625 | 12 Dec 202318:10 | – | cve |
 | CVE-2023-35625 Azure Machine Learning Compute Instance for SDK Users Information Disclosure Vulnerability | 12 Dec 202318:10 | – | cvelist |
 | EUVD-2023-3243 | 3 Oct 202520:07 | – | euvd |
 | Exposure of Sensitive Information in mltable | 12 Dec 202318:31 | – | github |
 | KLA62390 Multiple vulnerabilities in Microsoft Azure | 12 Dec 202300:00 | – | kaspersky |
 | Azure Machine Learning Compute Instance for SDK Users Information Disclosure Vulnerability | 12 Dec 202308:00 | – | mscve |
 | Vulnerabilities fixed in Microsoft Azure | 13 Dec 202300:00 | – | ncsc |
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01 Jan 2025 00:00Current
5.6Medium risk
Vulners AI Score5.6
CVSS 3.14.7
EPSS0.00714
SSVC