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| Certification Vendor: | EC-Council |
|---|---|
| Exam Name: | EC-Council Digital Forensics Essentials (DFE) |
| Exam Number: | 112-57 |
| Available Languages: | English |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | 60 |
| Exam Format: | Multiple Choice |
| Exam Price: | $250 (USD) |
| Related Certifications: | EC-Council Certified Ethical Hacker (CEH) EC-Council Computer Hacking Forensic Investigator (CHFI) |
| Certificate Validity Period: | 3 years |
| Passing Score: | 70% |
| Sample Questions: | EC-COUNCIL 112-57 Sample Questions |
| Exam Way: | Online Proctored / Testing Center |
| Pre Condition: | No formal prerequisites; basic understanding of IT and networking recommended. Ideal for beginners in digital forensics. |
| Official Syllabus URL: | https://www.eccouncil.org/digital-forensics-essentials/ |
112-57「EC-Council Digital Forensics Essentials (DFE)」試験は簡単ではありません。専門的な知識が必要で、もしあなたはまだこの方面の知識を欠かれば、Fast2testは君に向ける知識を提供いたします。Fast2testの専門家チームは彼らの知識や経験を利用してあなたの知識を広めることを助けています。そしてあなたに112-57試験に関するテスト問題と解答が分析して差し上げるうちにあなたのIT専門知識を固めています。
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質問 # 58
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?
正解：D
解説：
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).
質問 # 59
Sam, a digital forensic expert, is working on a case related to file tampering in a system at the administrative department of an organization. In this process, Sam started performing the following steps to analyze the acquired data to draw conclusions related to the case.
1.Analyze the file content for data usage.
2.Analyze the date and time of file creation and modification.
3.Find the users associated with file creation, access, and file modification.
4.Determine the physical storage location of the file.
5.Generate a timeline.
6.Identify the root cause of the incident.
Identify the type of analysis performed by Sam in the above scenario.
正解：C
解説：
The listed actions describe theexamination and interpretation of acquired evidence, which aligns withdata analysisin the digital forensics investigation process. After collection and acquisition, examiners analyze evidence by validating what the data contains (file content and usage), interpretingMAC times(creation
/modification and related timestamps), attributing actions tousers and accounts(who created, accessed, or modified the file), and determiningwhere the file resides physically/logicallyon storage (path, volume, clusters
/blocks, and whether it appears in allocated/unallocated areas). Generating atimelineis a core analytical task used to correlate file events with system activity and other artifacts to reconstruct sequence and intent. Finally,
"identify the root cause of the incident" represents the analytical conclusion derived from correlating artifacts and timeline events.
The other choices do not match the described work.Search and seizureis the legal/field activity of locating and securing evidence sources, not interpreting artifacts.Reportingis the documentation phase after analysis, where findings and methods are written up.Case analysisis broader and can include overall strategy and interpretation, but the question's focus is explicitly on analyzing acquired data and producing forensic conclusions, which isdata analysis.
質問 # 60
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?
正解：D
解説：
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).
質問 # 61
Below is the syntax of a command-line utility that displays active TCP connections and ports on which the computer is listening.
netstat [-a] [-e] [-n] [-o] [-p Protocol] [-r] [-s] [Interval]
Identify the netstat parameter that displays active TCP connections and includes the process ID (PID) for each connection.
正解：B
解説：
In Windows forensics and incident response, investigators often need to linknetwork activity(remote IPs, ports, connection states) to theresponsible processto determine whether traffic is legitimate or associated with malware, unauthorized tools, or data exfiltration. The Windowsnetstatutility can enumerate current TCP connections and listening ports, but the key flag that enables attribution to a running program is-o. The-o parameter instructs netstat to include theOwning Process ID (PID)with each connection or listening socket.
Once the PID is known, examiners can correlate it with process listings (e.g., Task Manager,tasklist, memory forensics output) to identify the executable name, path, user context, and parent process-critical steps in reconstructing attacker behavior and persistence.
The other options do not provide PID mapping:-nshows addresses and ports in numeric form (useful for speed and to avoid DNS lookups),-adisplays all connections and listening ports but without PID attribution by itself, and-sshows protocol statistics rather than per-connection ownership. Therefore, the parameter that shows active connectionsandincludes the PID for each is[-o](Option C).
質問 # 62
Which of the following techniques is used to compute the hash value for a given binary code to uniquely identify malware or periodically verify changes made to the binary code during analysis?
正解：D
解説：
File fingerprintingis the forensic technique of generating acryptographic hash(such as MD5, SHA-1, SHA-
256) for a file to create aunique, repeatable identifierfor that exact byte sequence. In malware forensics, analysts compute hashes to (1)uniquely identifya suspicious binary across cases and tools, (2) confirm whether two samples are identical or different variants, and (3)verify integrity over time-for example, ensuring the sample did not change during copying, extraction, sandbox handling, or during an analysis workflow that might inadvertently modify the file (e.g., patching, unpacking outputs, or tool-side normalization). Re-hashing at different stages provides a defensible way to demonstrate that the analyzed artifact is the same as the acquired artifact, supporting evidentiary integrity and chain-of-custody principles commonly emphasized in digital forensics documentation.
The other techniques do not primarily serve this purpose.Strings searchextracts readable text fragments but does not produce a unique integrity identifier.Local and online malware scanninguses signatures/reputation and may identify families, but it is not an integrity verification mechanism for the exact file bytes.Malware disassemblyhelps understand logic and instructions, not compute an identity hash. Therefore, the correct answer isFile fingerprinting (A).
質問 # 63
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