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EC-COUNCIL 112-57 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
Topic 3
  • Data Acquisition and Duplication: This module focuses on methods for collecting and duplicating digital evidence. It explains acquisition techniques, formats, and procedures used to create forensic images and capture system memory.
Topic 4
  • 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 5
  • 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 6
  • Network Forensics: This module introduces network forensic concepts, including event correlation, analyzing network logs, identifying indicators of compromise, and investigating network traffic.
Topic 7
  • Malware Forensics: This module introduces malware investigation techniques, including static and dynamic analysis, and examining system and network behavior to understand malicious activity.

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EC-COUNCIL EC-Council Digital Forensics Essentials (DFE) Sample Questions (Q33-Q38):

NEW QUESTION # 33
Williams, a forensic specialist, was tasked with performing a static malware analysis on a suspect system in an organization. For this purpose, Williams used an automated tool to perform a string search and saved all the identified strings in a text file. After analyzing the strings, he determined all the harmful actions that were performed by malware.
Identify the tool employed by Williams in the above scenario.

Answer: A

Explanation:
Instatic malware analysis, one of the quickest ways to infer capability is to extract and reviewstringsembedded in a binary. Strings frequently reveal command-and-control domains/IPs, mutex names, file paths, registry keys, user-agent values, suspicious commands (PowerShell/cmd), API names, error messages, encryption markers, and configuration fragments. Investigators often use automated utilities to extract these readable artifacts andexport them to a text filefor later triage, keyword searching, and correlation with other evidence (network logs, endpoint telemetry, and threat intel).
Among the provided options,ResourcesExtractbest matches this workflow. It is designed to extract embedded content from executable files-particularly Windows PE resources-and can export extracted textual items (including resource strings/strings tables and related embedded text) into external files for analysis. This aligns with "performed a string search and saved all the identified strings in a text file." The other choices do not fit:R-Drive Imageis a disk imaging/backup tool;Ezvidis for screen recording; andSnagitis for screenshots/screen capture. They do not perform automated extraction of strings from malware binaries as a static-analysis step. Therefore, the correct answer isResourcesExtract (B).


NEW QUESTION # 34
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: C

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 # 35
Which of the following data acquisition formats supports the Lempel-Ziv-Markov chain (LZMA) algorithm for compression?

Answer: D

Explanation:
In digital forensics, acquisition formats differ mainly in how they store evidence data, metadata, and whether they support features like compression, segmentation, and integrity verification. ARaw formatis a sector-by- sector bitstream image (often called "dd" style) and typically doesnotdefine built-in compression or structured metadata; any compression would be external to the format. "Proprietary format" is not a single defined standard-some proprietary images may compress data, but the option is too generic and not tied to a specific, documented compression method.
The format known in forensic documentation for explicitly supporting modern compression such asLZMAisAFF4 (Advanced Forensic Format 4), which is designed as a next-generation container supporting rich metadata, hashing, chunked storage, and pluggable compression options. AFF4's architecture stores evidence in compressed chunks/streams and commonly associates LZMA with efficient, high-ratio compression while preserving forensic requirements such as repeatable verification through cryptographic hashes.
The option "Advanced ForensicFramework 4" corresponds toAFF4in many exam question banks and training materials. Therefore, the correct choice isC, because AFF4 is the acquisition format recognized for supportingLZMA compressionas part of its standardized capabilities.


NEW QUESTION # 36
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: A

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 # 37
Which of the following folders of macOS stores all the files, documents, applications, library folders, etc.
pertaining to a particular user?

Answer: D

Explanation:
In macOS, each user account is assigned aHome Directorythat serves as the primary container for that user's data and profile-specific configuration. This directory typically resides under/Users/<username>/and includes standard subfolders such asDesktop,Documents,Downloads,Pictures,Movies,Music, and crucially the user' sLibraryfolder (~/Library). From a digital forensics standpoint, the Home Directory is one of the most important evidence locations because it holds user-generated content and a large volume of user activity artifacts: application preferences and settings (plist files), browser data, caches, saved state, key application databases, recent items, and other per-user traces. Although some applications are installed system-wide under
/Applications, macOS also supports per-user application storage and extensive per-user data under the Home Directory's Library structure.
The other options are not user-data containers.Spotlightis a search/indexing service (it creates indexes, not a user's complete data store).Time Machineis a backup mechanism that stores versioned backups rather than the live per-user working directory.Finderis the graphical file manager, not a storage folder. Therefore, the folder that stores files and user-specific libraries for a particular user is theHome Directory (D).


NEW QUESTION # 38
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