Most Recent Eccouncil 112-57 Exam Dumps

RFC 3227's ''order of volatility'' principle guides responders to collect the most perishable evidence first because some data can disappear immediately when power is lost, processes terminate, or the system state changes during response actions. The most volatile items are CPU registers and processor cache (4) because they change continuously at instruction speed and are lost instantly on shutdown or context switching. Next are routing table, process table, kernel statistics, and memory (3) because live RAM contents and active system tables can change within seconds and are lost if the machine is powered off or rebooted.

After volatile memory, temporary system files (7) are collected because they are frequently overwritten or cleaned by the OS, users, or malware. Then comes disk or other storage media (6) which is more persistent but still subject to modification, log rotation, and overwriting through normal activity; hence imaging should occur before extensive interaction.

Less volatile still are remote logging and monitoring data (2) since they may persist off-host, but can be rotated or altered by retention policies. Physical configuration and network topology (5) generally changes less frequently and can often be re-documented later. Finally, archival media (1) is the least volatile because it is typically write-once or preserved storage. Thus the correct sequence is 4376251 (Option B).

In memory forensics, ''hidden or injected'' malicious code typically refers to process injection, code caves, unbacked executable mappings, or regions of memory that are marked executable but do not align with normal, file-backed program segments. The Volatility Framework provides specialized plugins to locate these suspicious patterns. linux_malfind is the plugin designed to detect potentially injected code by scanning a process's memory mappings for characteristics that commonly indicate malicious presence---such as executable anonymous mappings, unusual permissions (e.g., RWX), and memory regions that contain shellcode-like byte patterns. This is highly relevant when malware attempts to avoid disk artifacts by living in memory or by injecting payloads into legitimate processes.

By contrast, linux_netstat is used to enumerate network connections and sockets from memory (useful for C2 analysis), but it does not focus on injected code regions. ip addr show and nmap -sU localhost are live-system networking commands, not Volatility plugins, and they are not suitable for analyzing a captured RAM image. Therefore, to detect hidden/injected malicious code in a Linux RAM dump using Volatility, the correct plugin is linux_malfind (A).

In the NTFS file system, the Master File Table (MFT) is the core metadata structure that tracks every file and directory on the volume. NTFS implements this as a special system file named $MFT (shown here as $mft). Each file or folder on an NTFS partition is represented by at least one MFT record entry, which stores essential metadata such as file name(s), timestamps, security identifiers/ACL references, file size, attributes, and pointers to the file's data runs (or, for very small files, the content can be stored resident inside the record). Because it is the authoritative ''index'' of file objects, forensic examiners rely heavily on $MFT to reconstruct user activity and file history, including evidence of deleted files (when records are marked unused but remnants of attributes may remain) and timeline building from timestamp attributes.

The other options are different NTFS metadata files with narrower purposes: $LogFile records NTFS transaction logs to support recovery, $Volume stores volume-level information (like version/label), and $Quota manages disk quota tracking. None of these contain a record for every file on the system. Therefore, the NTFS system file that contains a record of every file present is $mft (B).

The question specifies an automated tool to analyze the system's memory and detect malicious activity associated with a malware backdoor. In malware forensics and incident response practice, memory analysis is used to identify artifacts that may not be reliably visible on disk, such as injected code, hidden processes, suspicious DLLs/modules, live network connections, persistence objects loaded in memory, and indicators of compromise tied to backdoors. Redline (commonly referenced in DFIR training) is purpose-built for host investigation and memory analysis. It can collect and analyze volatile data, including running processes, loaded modules, handles, drivers, network sessions, and other runtime indicators that help investigators spot malicious behavior and attribute it to specific executables or injected components.

The other options do not align with memory forensics. Medusa is primarily a credential brute-force/login auditing tool, not a memory analysis utility. Shodan is an Internet-wide device search engine used for external reconnaissance, not for local host RAM inspection. Wireshark is a packet capture and protocol analysis tool focused on network traffic, not automated memory artifact collection and analysis. Therefore, the tool Clark used to analyze memory and detect malicious activity is Redline (B).

The Windows net view \\<computer> command is used to enumerate shared resources (SMB shares) that a remote Windows system is publishing. When Jessy runs net view \\10.10.10.11, her goal is to retrieve a list of the target host's visible shares---such as administrative shares (e.g., C$, ADMIN$) and any custom shares created for departments, applications, or users. In forensic and incident-response practice, this is important because attackers commonly use SMB shares for lateral movement, staging tools, dropping payloads, and exfiltrating data. By reviewing the shares exposed by a suspected server, the investigator can quickly identify unexpected or overly permissive shares, locate potential repositories of web content or logs, and determine whether a compromised web server is also exposing file resources that expand the attacker's options.

The other options map to different commands and artifacts: disk space usage is checked with storage utilities (not net view), open sessions are examined with commands like net session, and identifying users accessing files typically involves net file or server auditing logs. Therefore, Jessy's objective was to review file shares on the remote host.