Quiz EC-COUNCIL - Efficient 112-57 - Free EC-Council Digital Forensics Essentials (DFE) Braindumps

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EC-COUNCIL 112-57 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Understanding Hard Disks and File Systems: This module covers disk structures, types of storage drives, and operating system boot processes. It also explains how investigators analyze file systems and recover deleted data.
Topic 2
  • Network Forensics: This module introduces network forensic concepts, including event correlation, analyzing network logs, identifying indicators of compromise, and investigating network traffic.
Topic 3
  • Linux and Mac Forensics: This module explains forensic analysis techniques for Linux and Mac systems. It focuses on analyzing system data, file systems, and memory to recover digital evidence.
Topic 4
  • Investigating Web Attacks: This module focuses on analyzing web application attacks through server logs and detecting malicious activities targeting web servers and applications.
Topic 5
  • Windows Forensics: This module covers forensic investigation in Windows systems, including analysis of memory, registry data, browser artifacts, and file metadata to identify system and user activities.
Topic 6
  • Dark Web Forensics: This module explains the investigation of dark web activities, including analyzing artifacts related to the Tor browser and identifying dark web usage on systems.
Topic 7
  • Computer Forensics Investigation Process: This module explains the phases of the forensic investigation process, including pre-investigation, investigation, and post-investigation. It also covers evidence integrity methods such as hashing and disk imaging.
Topic 8
  • Defeating Anti-forensics Techniques: This module discusses anti-forensic methods used to hide or destroy evidence. It also explains techniques investigators use to detect hidden data and recover deleted or protected information.
Topic 9
  • Malware Forensics: This module introduces malware investigation techniques, including static and dynamic analysis, and examining system and network behavior to understand malicious activity.
Topic 10
  • Computer Forensics Fundamentals: This module introduces the core concepts of computer forensics, including digital evidence, forensic readiness, and the role of investigators. It also explains legal and compliance requirements involved in forensic investigations.

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EC-COUNCIL EC-Council Digital Forensics Essentials (DFE) Sample Questions (Q44-Q49):

NEW QUESTION # 44
An organization decided to strengthen the security of its network by studying and analyzing the behavior of attackers. For this purpose, Steven, a security analyst, was instructed to deploy a device to bait attackers.
Steven selected a solution that appears to contain very useful information to lure attackers and find their locations and techniques.
Identify the type of device deployed by Steven in the above scenario.

Answer: D

Explanation:
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).


NEW QUESTION # 45
In which of the following attacks does an attacker trick high-profile executives such as CEOs, CFOs, politicians, and celebrities to reveal critical corporate and personal information through email or website spoofing?

Answer: C

Explanation:
The scenario describes a targeted social-engineering attack aimed specifically athigh-profile individuals (CEOs, CFOs, politicians, celebrities) and usesemail or website spoofingto deceive them into disclosing sensitive information. In digital forensics and incident response documentation, this is most accurately categorized aswhaling, a specialized form of phishing that focuses on "big targets" (often called "high-value targets" or "VIPs"). Whaling campaigns typically use highly tailored pretexts (e.g., legal subpoenas, board communications, invoice/payment requests, HR or executive directives) and may include spoofed sender domains, look-alike websites, or fraudulent login pages to harvest credentials and confidential corporate data.
Because executives often have access to financial systems, strategic documents, and privileged communications, attackers concentrate effort on realism and personalization, making whaling distinct from broad, generic phishing.
By contrast,smishingis phishing conducted via SMS/text messages,spimmingis spam over instant messaging platforms, andidentity fraudis a broader category involving impersonation/misuse of personal data but does not specifically denote the executive-targeted spoofing technique described. Therefore, the attack type in the question isWhaling (A).


NEW QUESTION # 46
Bob, a forensic investigator, is investigating a live Windows system found at a crime scene. In this process, Bob extracted subkeys containing information such as SAM, Security, and software using an automated tool called FTK Imager.
Which of the following Windows Registry hives' subkeys provide the above information to Bob?

Answer: A

Explanation:
In Windows forensics, the Registry is organized into logical root keys ("hives") that aggregate configuration and security data. The items named in the question-SAM,SECURITY, andSOFTWARE-aresystem-wide registry hivesstored on disk (typically under the system's configuration directory) and loaded at runtime underHKEY_LOCAL_MACHINE (HKLM). Investigators rely on these hives because they contain high- value evidence: theSAMhive stores local account database information (including user and group identifiers and credential-related material), theSECURITYhive holds system security policy and LSA-related settings, and theSOFTWAREhive contains installed software, application configuration, and many operating system settings relevant for program execution and persistence analysis.
Tools likeFTK Imagercan extract these hives (or their live-memory representations) during triage to preserve volatile context and enable offline parsing while maintaining evidentiary integrity. The other root keys do not match these specific hives:HKEY_CURRENT_USERis per-user profile data, HKEY_CURRENT_CONFIGreflects current hardware profile, andHKEY_CLASSES_ROOTis primarily file association/COM class mapping (largely derived from HKLM\Software\Classes and HKCU\Software\Classes). Therefore, the correct hive root that provides SAM, SECURITY, and SOFTWARE subkeys isHKEY_LOCAL_MACHINE (B).


NEW QUESTION # 47
Cooper, a forensic analyst, was examining a RAM dump extracted from a Linux system. In this process, he employed an automated tool, Volatility Framework, to identify any malicious code hidden inside the memory.
Which of the following plugins of the Volatility Framework helps Cooper detect hidden or injected files in the memory?

Answer: D

Explanation:
In memory forensics, "hidden or injected" malicious code typically refers toprocess injection,code caves, unbacked executable mappings, or regions of memory that aremarked executablebut do not align with normal, file-backed program segments. The Volatility Framework provides specialized plugins to locate these suspicious patterns.linux_malfindis the plugin designed to detectpotentially injected codeby scanning a process's memory mappings for characteristics that commonly indicate malicious presence-such asexecutable 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_netstatis used to enumerate network connections and sockets from memory (useful for C2 analysis), but it does not focus on injected code regions.ip addr showandnmap -sU localhostare 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 islinux_malfind (A).


NEW QUESTION # 48
Below are the various steps involved in an email crime investigation.
1.Acquiring the email data
2.Analyzing email headers
3.Examining email messages
4.Recovering deleted email messages
5.Seizing the computer and email accounts
6.Retrieving email headers
What is the correct sequence of steps involved in the investigation of an email crime?

Answer: A

Explanation:
In an email crime investigation, the workflow should begin withseizing the computer and email accounts (5)to preserve evidence and prevent alteration, deletion, or continued misuse. This includes securing endpoints and ensuring account access is maintained under proper authority. Next, investigators proceed withacquiring the email data (1)using forensic methods (logical export, mailbox acquisition, or forensic imaging of local mail stores) to maintain integrity and chain of custody.
Once the data is preserved, investigatorsexamine email messages (3)to identify relevant communications, context, attachments, and indicators of fraud, harassment, data leakage, or impersonation. After identifying emails of interest, investigatorsretrieve email headers (6)(full headers, not just what the mail client displays) because headers contain routing metadata required for attribution and timeline reconstruction. They thenanalyze email headers (2)to interpret fields such as Received lines, Message-ID, originating IP clues (where applicable), sending infrastructure, and authentication results, which helps determine spoofing, relay paths, and sender legitimacy. Finally, theyrecover deleted email messages (4)from mail stores, server-side retention, or unallocated space to restore missing evidence. This sequence matches optionA.


NEW QUESTION # 49
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