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EC-COUNCIL 112-57 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • Investigating Web Attacks: This module focuses on analyzing web application attacks through server logs and detecting malicious activities targeting web servers and applications.
Topic 3
  • 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 4
  • 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 5
  • 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 6
  • 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 7
  • 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 (Q71-Q76):

NEW QUESTION # 71
Below are the various steps involved in forensic readiness planning.
Keep an incident response team ready to review the incident and preserve the evidence.
Create a process for documenting the procedure.
Identify the potential evidence required for an incident.
Determine the sources of evidence.
Establish a legal advisory board to guide the investigation process.
Identify if the incident requires full or formal investigation.
Establish a policy for securely handling and storing the collected evidence.
Define a policy that determines the pathway to legally extract electronic evidence with minimal disruption.
Identify the correct sequence of steps involved in forensic readiness planning.

Answer: A

Explanation:
Forensic readiness planning focuses on ensuring an organization canlegally, efficiently, and reliablycollect usable digital evidence before an incident occurs. The planning sequence typically begins by definingwhat evidence would be neededto support likely incidents (3) and then mappingwhere that evidence residesacross systems, services, logs, endpoints, and network components (4). Once evidence needs and sources are known, readiness requires alegally compliant extraction pathwaythat minimizes business disruption and prevents evidence contamination (8). After defining extraction, an organization must formalizesecure handling and storage policies(chain of custody, access control, retention, integrity protection) so collected evidence remains admissible and trustworthy (7).
With those foundations in place, the organization can define decision criteria forwhen an event becomes a formal investigationand triggers deeper forensic procedures (6). A structureddocumentation processis then set so actions taken during acquisition and analysis are repeatable and defensible (2). Governance is reinforced by establishinglegal oversight/advisory supportto ensure compliance with jurisdictional requirements and internal policy (5). Finally, the plan is operationalized by ensuring anincident response team is preparedto preserve evidence promptly when incidents occur (1). Hence,3#4#8#7#6#2#5#1is the correct sequence.


NEW QUESTION # 72
Benoy, a security professional at an organization, extracted Apache access log entries to view critical information about all the operations performed on a web server. The Apache access log extracted by Benoy is given below:
"10.10.10.10 - Jason [17/Aug/2019:00:12:34 +0300] "GET /images/content/bg_body_1.jpg HTTP/1.0" 500
1458"
Identify the HTTP status code in the Apache access log entry above that indicates the response was successful.

Answer: D

Explanation:
In the Apache Combined/Custom access log format, the value immediately after the quoted request (here," GET ... HTTP/1.0") is theHTTP status codereturned by the server. In the provided entry, that field is500.
From a forensic analysis standpoint, recognizing field positions matters because investigators correlate client IPs, timestamps, requested resources, and server outcomes to reconstruct attack timelines and identify failed exploitation attempts or misconfigurations.
It is important to note thatsuccessful HTTP responses are typically in the 2xx range, most commonly200 (OK), while3xxindicates redirects,4xxindicates client-side errors (such as 404 Not Found), and5xxindicates server-side failures. Specifically,500represents anInternal Server Error, meaning the server encountered an unexpected condition and could not fulfill the request successfully.
The other options are not HTTP status codes in this entry:+0300is the timezone offset in the timestamp,1.0is the HTTP protocol version, and2019is part of the date. Therefore, the only HTTP status code present-and the correct choice among the options-is500 (B), even though it reflects an error rather than success.


NEW QUESTION # 73
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?

Answer: D

Explanation:
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).


NEW QUESTION # 74
Identify the malware analysis technique in which the investigators must take a snapshot of the baseline state of the forensic workstation before malware execution.

Answer: C

Explanation:
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).


NEW QUESTION # 75
Jack, a forensic investigator, was appointed to investigate a Windows-based security incident. In this process, he employed an Autopsy tool to recover the deleted files from unallocated space, which helps in gathering potential evidence.
Which of the following functions of Autopsy helped Jack recover the deleted files?

Answer: D

Explanation:
When a file is deleted on common file systems, the operating system typically removes the directory reference and marks the previously used clusters/blocks asunallocated, but the underlying file content may remain on disk until it is overwritten. Digital forensics procedures emphasize that recovering such deleted content often requires examining unallocated space rather than relying only on file system metadata.Autopsy's "Data Carving"function is specifically intended for this purpose: it scans unallocated space (and sometimes slack space) forfile signatures(headers/footers and internal structure patterns) and reconstructs recoverable files even when the original filename, path, or metadata is missing.
This directly matches the scenario: Jack recovered deleted files fromunallocated space, which is the classic use case for carving. The other options in Autopsy support different investigative goals.Timeline analysiscorrelates timestamps from multiple artifacts to reconstruct sequences of activity, but it does not itself reconstruct deleted file content from raw disk areas.Web artifactsfocuses on browser history, downloads, cookies, and related traces.Multimediahelps categorize and analyze media files (e.g., images/videos), but it is not the primary mechanism for recovering deleted data from unallocated space. Therefore, the Autopsy function that enabled the recovery described isData carving (D)


NEW QUESTION # 76
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