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On May 9, 2024, Microsoft successfully addressed multiple vulnerabilities within the Azure Machine Learning (AML) service, which were initially discovered by security research firms Wiz and Tenable. These vulnerabilities, which included Server-Side Request Forgeries (SSRF) and a path traversal vulnerability, posed potential risks for information exposure and service disruption via Denial-of-Service (DOS).
Summary (give a brief description of the issue)
On May 9, 2024, Microsoft successfully addressed multiple vulnerabilities within the Azure Machine Learning (AML) service, which were initially discovered by security research firms Wiz and Tenable. These vulnerabilities, which included Server-Side Request Forgeries (SSRF) and a path traversal vulnerability, posed potential risks for information exposure and service disruption via Denial-of-Service (DOS).
References (provide links to blogposts, etc.)
https://msrc.microsoft.com/blog/2024/06/mitigating-ssrf-vulnerabilities-impacting-azure-machine-learning/
https://www.tenable.com/security/research/tra-2024-22
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