ECCouncil Updated 112-57 Exam Questions and Answers by artie

Ahoneypotis a deliberately deployed decoy system or service designed toattract attackersby appearing valuable or vulnerable, thereby enabling defenders to observe malicious behavior in a controlled manner. Digital forensics and incident response references describe honeypots as tools forthreat intelligence and evidence collection, because they can record interaction details such as connection sources, exploited services, commands executed, malware dropped, and attempted privilege escalation. This directly matches the scenario: Steven deployed something that “appears to contain very useful information” tolure attackersand help identify theirlocations and techniques. Honeypots are typically instrumented with extensive logging and monitoring, making them especially useful for building timelines, extracting indicators of compromise, and understanding adversary tactics, techniques, and procedures.

The other options do not align with the “bait attackers” goal. AnIDSprimarily detects and alerts on suspicious activity but is not intended to impersonate a valuable target. Afirewallenforces access control rules to block/allow traffic, not entice attackers. Arouterforwards packets and provides network connectivity; it is not a deception platform. Therefore, the device type described is aHoneypot (C).

The technique described—taking a snapshot of the baseline state of the forensic workstation before executing malware—aligns withMonitoring host integrity. In malware forensics, investigators often perform controlled execution (dynamic analysis) and need a reliable way to identifywhat changed on the systemas a direct result of the malware run. Host integrity monitoring is a structured approach where the examiner first captures aknown-good baselineof critical system elements such as file system state (key directories, system binaries), registry/configuration state, running services, installed drivers, scheduled tasks, and sometimes hash inventories of important files. After malware execution, the investigator captures a second snapshot and performsdifferential comparisonto determine newly created/modified files, persistence mechanisms, configuration changes, dropped payloads, and tampering attempts.

This baseline-before/after comparison is fundamental for attributing changes to the sample, supporting repeatability, and documenting evidence in a defensible manner. The other options do not require a workstation baseline snapshot in this sense:online malware scanningchecks a file against signatures/reputation services;string searchextracts readable strings from binaries; andfile fingerprintingtypically refers to hashing to uniquely identify a file, not system-wide state comparison. Therefore, the correct answer isMonitoring host integrity (B).

The scenario describes an email-retrieval configuration in which messages aredownloaded to a client deviceandnot retained on the server. This behavior aligns withPOP3 (Post Office Protocol v3), a legacy but widely referenced mail access protocol that retrieves email from a server mailbox to a local client. In standard POP3 operation, the client authenticates to the mail server, issues retrieval commands (e.g., to list and download messages), and may then issue a delete command so that downloaded messages are removed from the server mailbox. Digital forensics references commonly contrast POP3 with IMAP:IMAP is designed for server-side mailbox synchronization and typically leaves mail stored on the server, whereas POP3 is oriented towardclient-side storageand supports workflows where server copies are not preserved after download. The other options are unrelated to email retrieval:SHA-1is a cryptographic hash function used for integrity checks,ICMPsupports network diagnostics and control messaging, andSNMPis used for network device management and monitoring. From an investigative standpoint, POP3 usage can reduce server-resident evidence and shift evidentiary value tolocal artifacts(mail client databases, cache, OS traces, backups), which is consistent with the intent described in the question.

The question specifies anautomated tool to analyze the system’s memoryand detect malicious activity associated with amalware 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 forhost 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.Medusais primarily a credential brute-force/login auditing tool, not a memory analysis utility.Shodanis an Internet-wide device search engine used for external reconnaissance, not for local host RAM inspection.Wiresharkis 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 isRedline (B).