The author explains how to collect data on potential malware attacks on a system using telemetry, and create malware on a virtual machine for learning purposes. They use a Kali virtual machine to attack a Windows machine, utilizing the network discovery tool Nmap to scan the target. The author also uses MSFvenom to develop basic malware, using a handler to listen for network connections from the payload. A HTTP server is set up to facilitate the transfer of the malware between machines in this simulated attack.
Alzheimer’s treatment: What’s next beyond amyloid?
In the face of rising global Alzheimer’s rates, a broader range of approaches towards finding a cure is in motion. Apart from the traditional approach
