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EC-COUNCIL 112-57 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • Investigating Web Attacks: This module focuses on analyzing web application attacks through server logs and detecting malicious activities targeting web servers and applications.
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
  • 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 6
  • 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 7
  • Malware Forensics: This module introduces malware investigation techniques, including static and dynamic analysis, and examining system and network behavior to understand malicious activity.
Topic 8
  • 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 9
  • Network Forensics: This module introduces network forensic concepts, including event correlation, analyzing network logs, identifying indicators of compromise, and investigating network traffic.
Topic 10
  • 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 11
  • Investigating Email Crimes: This module covers the basics of email systems and the process of investigating suspicious emails to identify potential cybercrime evidence.

>> 112-57 Most Reliable Questions <<

Free PDF Quiz EC-COUNCIL - 112-57 - The Best EC-Council Digital Forensics Essentials (DFE) Most Reliable Questions

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EC-COUNCIL EC-Council Digital Forensics Essentials (DFE) Sample Questions (Q23-Q28):

NEW QUESTION # 23
Cheryl, a forensic expert, was recruited to investigate a malicious activity performed by an anonymous hackers' group on an organization's systems. Using an automated tool, Cheryl was able to extract the malware file and analyze the assembly code instructions, which helped him understand the malware's purpose.
Which of the following tools helped Cheryl extract and analyze the assembly code of the malware?

Answer: B

Explanation:
To understand a malware sample's purpose at the instruction level, investigators usereverse-engineering toolsthat candisassemblecompiled binaries intoassembly codeand often allowinteractive debuggingto observe runtime behavior (API calls, unpacking routines, decryption loops, process injection, and control-flow decisions).OllyDbgis a classic Windows user-mode debugger widely referenced in malware analysis workflows because it provides an integrated view ofdisassembly, CPU registers, memory, breakpoints, and execution tracing. This makes it suitable for extracting behavioral insight from the actual assembly instructions, especially when malware uses obfuscation or packers that require stepping through execution to reach the real payload.
The other options do not primarily perform assembly-level analysis.VirtualBoxandVMware vSphereare virtualization platforms; they help safely run malware in isolated environments, but they are not disassemblers
/debuggers for examining assembly instructions.QualNetis a network simulation tool used for modeling network behavior, not binary reverse engineering. Because the question specifically emphasizesanalyzing assembly code instructionsto understand malware purpose, the correct tool among the choices isOllyDbg (C).


NEW QUESTION # 24
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: B

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 # 25
A forensic investigator is collecting volatile data such as system information and network information present in the registries, cache, DLLs, and RAM of digital devices through its normal interface.
Identify the data acquisition method the investigator is performing.

Answer: A

Explanation:
The scenario describes the investigator collectingvolatileartifacts-specifically information inRAM, activeDLLs, system and network state, and transient data held incacheand similar runtime locations-through the device's normal interface while the system is running. In digital forensics documentation, this is the defining characteristic oflive acquisition(also called live response). Live acquisition is performed when the system remains powered on so that investigators can capture evidence that would be lost on shutdown, such as running processes, open network connections, logged-on sessions, loaded modules/DLLs, encryption keys, and portions of registry data that exist in memory or are actively changing.
By contrast,static acquisitionanddead acquisitionare conducted when the system is powered off (or the evidence drive is imaged outside the running OS), focusing primarily on persistent storage such as disk sectors and file system structures.Non-volatile data acquisitionrefers to collecting persistent data stored on media (e.g., files on disk), which does not match the emphasis on RAM and other volatile components in the question. Because the investigator is explicitly collecting volatile data from a running system via its normal interface, the correct method isLive acquisition (B).


NEW QUESTION # 26
David, a cybercriminal, targeted a community and initiated anti-social campaigns online. In this process, he used a layer of the web that allowed him to maintain anonymity during the campaign.
Which of the following layers of the web allowed David to hide his presence during the anti-social campaign?

Answer: C

Explanation:
The layer of the web most associated withmaintaining anonymityfor users and services is theDark Web. In digital forensics terminology, the Dark Web refers to services hosted on overlay networks (such as Tor hidden services) that arenot indexed by standard search enginesand are typically accessible only through specialized software and configurations. Its core characteristic is that it is deliberately designed to reduce traceability by routing traffic through multiple relays and separating identifying information (like the user's real IP address) from the destination. This makes attribution and geolocation significantly harder using traditional network logs alone, which is why adversaries often choose it to conduct covert communications, host content, or coordinate campaigns.
By contrast, theSurface Web(the regular, indexed portion of the web) is generally reachable through normal browsers and is easier to monitor and attribute using conventional ISP, server, and platform logs. "World Wide Web" is a general term for web content accessed via HTTP/HTTPS and does not specifically imply anonymity. TheDeep Webrefers to content not indexed by search engines (e.g., webmail, databases, authenticated portals), but it is not inherently anonymizing-many deep web resources are simply private or access-controlled. Therefore, the layer enabling David to hide his presence is theDark Web (C).


NEW QUESTION # 27
In which of the following malware distribution techniques does the attacker use tactics such as keyword stuffing, doorway pages, page swapping, and adding unrelated keywords to improve the search-engine ranking of their malware pages?

Answer: B

Explanation:
The technique described-keyword stuffing, doorway pages, page swapping, and inserting unrelated high- traffic keywords-matchesblack-hat search-engine optimization (SEO), often calledSEO poisoningin digital forensics and threat intelligence materials. In this distribution method, attackers manipulate search engine ranking algorithms so that malicious or malware-hosting pages appear near the top of search results for popular queries (breaking news, software downloads, trending events, adult content, etc.). Doorway pages are created to rank well for specific terms and then funnel victims to malicious landing pages. Page swapping (or
"bait-and-switch") occurs when a page is optimized and indexed as benign content, but later replaced or dynamically served as malicious content once it has gained ranking and trust signals. Keyword stuffing and unrelated keyword injection further exploit ranking heuristics by artificially increasing perceived relevance.
From a forensic perspective, black-hat SEO campaigns often leave artifacts such as compromised websites with injected spam links, abnormal redirect chains, cloaking behavior (different content for crawlers vs.
users), and malicious scripts or exploit kit references. The other options do not primarily rely on search ranking manipulation: drive-by downloads are about silent exploitation on visit, spearphishing relies on targeted messaging, and clickjacking tricks users into unintended clicks. Hence,Black-hat search-engine optimization (C)is correct.


NEW QUESTION # 28
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