by Mike Saunders, Principal Security Consultant This blog is the first in a series of articles on methods for obfuscating shellcode. I’ll be focusing on how to obfuscate shellcode to […]
In today's rapidly evolving digital landscape, achieving comprehensive visibility across cloud environments is paramount for maintaining security and performance. NETSCOUT, a leader in network visibility, offers a cloud-native solution that provides unparalleled packet-based network visibility, enabling enterprises to...
Summary 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).