During the cloud effect stage of the cloud sandbox workflow, what is primarily checked?

During the cloud effect stage of the cloud sandbox workflow, the primary focus is on analyzing the MD5 hash of files against threat feeds. This stage serves to determine if a file is malicious by comparing its unique hash value with known databases of threats. Threat feeds contain information about known malware signatures, allowing security systems to quickly identify and respond to potentially harmful files.

By leveraging the MD5 hash in this way, organizations can proactively defend against security threats before a file is executed or allowed into their environments. It streamlines the threat detection process and enhances overall cybersecurity measures, enabling swift action against previously identified malicious files.

The other options, while relevant for different aspects of a security workflow, do not match the primary objective of the cloud effect stage. For example, user activity logs are crucial for monitoring behavior but don't directly assess file safety. Similarly, monitoring DNS requests for anomalies may provide insights into unusual network activity but does not specifically pertain to file evaluation. Lastly, tracking network bandwidth usage is more about overall network health than individual file threat analysis.