Option C. Olevba is the best answer because CHFI v11 explicitly includes Analyzing Suspicious Word, Excel, and PDF Documents and Tools to Analyze Suspicious Word and PDF Documents as part of malware forensics and static/dynamic analysis.

The suspicious file here is a Word document , and the question asks for a tool suitable for static analysis to detect hidden malicious content. Olevba is specifically known for analyzing Office documents and extracting or inspecting VBA macro content , suspicious strings, and obfuscation indicators without executing the document. That fits the requirement exactly.

FLOSS is mainly used for extracting obfuscated strings from binaries. PEStudio is more appropriate for PE files such as Windows executables and DLLs. Cuckoo Sandbox is a dynamic analysis environment, not the most direct tool for static Office document inspection. Therefore, within CHFI’s malware-document analysis scope, the most effective choice is Olevba for static analysis of the suspicious Word file.

The correct answer is C because the actual bit-for-bit imaging step is performed when netcat is used to create the network data channel and dd is used to read and transmit the raw device data stream. The other actions are setup requirements that make the acquisition possible, but they do not themselves create the forensic image. Establishing SSH access, installing OpenSSH on a jailbroken device, and configuring network connectivity are all preparatory steps. The question, however, asks which action directly produces the bit-for-bit copy. In CHFI v11, mobile acquisition methods are tested not just at the conceptual level but also in terms of distinguishing preparation from the acquisition operation itself. dd is the imaging utility that performs raw copying, and netcat carries that stream across the network to the forensic workstation. This combination is what turns a reachable jailbroken device into an acquired forensic image. Therefore, among the listed choices, the only answer that directly results in the creation of the bit-level copy is using netcat to establish the socket and dd to acquire the image.

This question maps directly to CHFI v11 objectives under Malware Forensics , specifically malware persistence mechanisms and behavior analysis . Persistent malware is designed to survive system reboots and removal attempts by embedding itself into startup locations, registry keys, scheduled tasks, services, boot sectors, or firmware. CHFI v11 emphasizes that identifying persistence mechanisms is a critical step in malware analysis and incident response.

From a forensic perspective, understanding how malware maintains persistence allows investigators to fully eradicate the threat and prevent reinfection. If persistence artifacts are not identified and removed, the malware can continuously reinstall itself, rendering cleanup efforts ineffective and allowing attackers to maintain long-term access. CHFI v11 highlights registry-based persistence, startup folders, services, cron jobs, launch agents, and boot-level persistence as common techniques that must be analyzed.

Additionally, identifying persistence helps investigators reconstruct the attack timeline, understand attacker intent, and determine the scope of compromise. The other options are not primary forensic objectives—system performance, malware geography, or network optimization are unrelated to persistence analysis. Therefore, in accordance with CHFI v11 malware forensics principles, identifying malware persistence is essential to prevent future infections and ensure the long-term security of the system.