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EC-COUNCIL 112-57 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Network Forensics: This module introduces network forensic concepts, including event correlation, analyzing network logs, identifying indicators of compromise, and investigating network traffic.
Topic 2
  • 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 3
  • 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 4
  • Malware Forensics: This module introduces malware investigation techniques, including static and dynamic analysis, and examining system and network behavior to understand malicious activity.
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
  • 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.

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EC-COUNCIL EC-Council Digital Forensics Essentials (DFE) Sample Questions (Q39-Q44):

NEW QUESTION # 39
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: C

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 # 40
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: C

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 # 41
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: B

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 # 42
Bob, a forensic specialist at a newly established NGO, discovered a security loophole in the NGO's web application, which unintentionally reveals early enrolled NGO members' biodata to attackers. Bob immediately employed a content filtering mechanism to protect all the NGO's data sources and prevent further damage.
Identify the web application threat identified by Bob in the above scenario.

Answer: C

Explanation:
The scenario describes a web application thatunintentionally reveals sensitive member biodatato attackers.
This is a classic case ofinformation leakage, where confidential or private data becomes exposed due to poor access control, improper output handling, verbose error messages, misconfigured endpoints, insecure direct object references, or unintended exposure through pages, APIs, backups, or logs. In forensic and web security documentation, information leakage is defined by theunauthorized disclosure of data, even if the attacker does not alter the system. The key indicator here is that the application is "revealing" biodata-meaning confidentiality is breached.
Bob's response-using acontent filtering mechanism-also aligns with mitigating data exposure. Content filtering can prevent sensitive fields from being returned, mask personally identifiable information, restrict responses based on user role, and sanitize outputs before they leave the server.
The other options do not match the described impact.Buffer overflowis a low-level memory corruption vulnerability, typically associated with native code execution rather than accidental biodata exposure.
Authentication hijackinginvolves taking over sessions/credentials, andcookie poisoninginvolves manipulating cookie values to gain privileges or alter behavior-neither is explicitly indicated. Therefore, the identified threat isInformation leakage (B).


NEW QUESTION # 43
Which of the following network protocols creates secure tunneling through which content obfuscation can be achieved?

Answer: B

Explanation:
SSH (Secure Shell)is specifically designed to provide anencrypted channelover an untrusted network. In digital forensics and incident response, SSH is well known for supportingtunneling/port forwarding, where traffic for another protocol (for example, HTTP, database connections, or remote desktop) is encapsulated inside an SSH session. Because the SSH session encrypts payload data (and can also protect authentication and command content), the tunneled traffic becomesobfuscated to network monitoring toolsthat can only see metadata such as source/destination IPs, port numbers (often TCP/22), timing, and byte counts. This capability is frequently discussed in forensic references as a mechanism that can hinder content inspection and complicate attribution of user actions purely from packet payload analysis.
By contrast,SNMPis primarily for network management and monitoring, not secure tunneling.ARPresolves IP- to-MAC addresses on local networks and does not provide encryption or tunneling.UDPis a transport protocol that can carry data for many applications but provides no built-in security or tunneling features by itself.
Therefore, the protocol that creates secure tunneling enabling content obfuscation isSSH (C).
event logs) to establish user intent and sequence of actions. Therefore, the correct option isBrowsingHistoryView (B).


NEW QUESTION # 44
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