In a large multinational organization, an advanced persistent threat (APT) has been detected.

Option B. Volatility is the best answer because the scenario involves analysis of volatile information from a Linux server , specifically to examine active network connections and running processes . CHFI v11 explicitly includes Linux Memory Forensics , Tools to Perform Linux Memory Forensics , Tools to Acquire Memory Dumps , and Tools to Examine the Memory Dumps . It also highlights system behavior analysis involving processes and network activities.

Volatility is one of the most recognized and practical frameworks for analyzing memory dumps to identify running processes, network artifacts, injected code, suspicious modules, and other volatile indicators. That makes it especially suitable in an APT scenario where investigators need insight into live or recently active malicious behavior.

Redline is more commonly associated with Windows-focused memory and endpoint analysis. Rekall is also a memory analysis framework, but among the choices, Volatility is the more standard CHFI-aligned answer for broad Linux memory forensics tasks. OSForensics is not the primary tool for Linux volatile memory analysis in this context. Therefore, for examining memory-based evidence on a Linux server, Volatility is the strongest answer.