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EC-COUNCIL 112-57 Exam Overview:

Certification Vendor:	EC-COUNCIL
Exam Name:	EC-Council Digital Forensics Essentials (DFE)
Exam Number:	112-57
Passing Score:	70%
Exam Format:	Multiple Choice Questions
Related Certifications:	Ethical Hacking Essentials (EHE) Network Defense Essentials (NDE)
Certificate Validity Period:	3 years
Available Languages:	English
Real Exam Qty:	75
Exam Price:	Free / $0 USD
Exam Duration:	120 minutes
Recommended Training:	Official Digital Forensics Essentials Course
Exam Registration:	EC-Council Exam Center
Sample Questions:	EC-COUNCIL 112-57 Sample Questions
Exam Way:	Online proctored exam / Authorized testing centers
Pre Condition:	No formal prerequisites; basic IT knowledge recommended
Official Syllabus URL:	https://www.eccouncil.org/train-certify/digital-forensics-essentials-dfe/

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EC-COUNCIL 112-57 Exam Syllabus Topics:

Topic	Details
Topic 1	Investigating Web Attacks: This module focuses on analyzing web application attacks through server logs and detecting malicious activities targeting web servers and applications.
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	Network Forensics: This module introduces network forensic concepts, including event correlation, analyzing network logs, identifying indicators of compromise, and investigating network traffic.
Topic 4	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 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	Malware Forensics: This module introduces malware investigation techniques, including static and dynamic analysis, and examining system and network behavior to understand malicious activity.
Topic 7	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 8	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 9	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.

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

NEW QUESTION # 33
Which of the following layers of the TCP/IP model serves as the backbone for data flow between two devices in a network and enables peer entities on the source and destination devices to communicate with each other?

A. Internet layer
B. Transport layer
C. Network access layer
D. Application layer

Answer: B

Explanation:
In the TCP/IP model, theTransport layeris responsible forend-to-end communication between peer entitieson the source and destination systems. "Peer entities" here refers to the corresponding transport components (and the applications that use them) on two different hosts communicating across a network. This layer forms the practical "backbone" of host-to-host data flow because it provides the mechanisms that allow data to be deliveredfrom one endpoint process to another endpoint processreliably or efficiently, depending on the protocol used.
The Transport layer includes protocols such asTCPandUDP. TCP supports connection-oriented communication with sequencing, acknowledgments, retransmissions, and flow control-features that are fundamental when reconstructing sessions during network forensic investigations (e.g., rebuilding a file transfer or a web session). UDP provides connectionless delivery used by many services where speed is preferred over guaranteed delivery, which is also significant in investigations of DNS, streaming, or certain malware communications.
By contrast, theInternet layerfocuses on logical addressing and routing (IP), theNetwork access layerhandles local delivery on the physical/link network, and theApplication layerprovides user-facing protocols.
Therefore, the layer enabling peer communication between endpoints is theTransport layer (C).

NEW QUESTION # 34
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?

A. File fingerprinting
B. Local and online malware scanning
C. Malware disassembly
D. Strings search

Answer: A

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 # 35
Clark, a security professional, identified that one of the systems in the organization is infected with malware and was used for creating a backdoor. Clark employed an automated tool to analyze the system's memory and detect malicious activities performed on the system.
In the above scenario, which of the following tools did Clark employ to detect malicious activities performed on the system?

A. Medusa
B. Shodan
C. Redline
D. Wireshark

Answer: C

Explanation:
The question specifies anautomated tool to analyze the system's memoryand detect malicious activity associated with amalware backdoor. In malware forensics and incident response practice, memory analysis is used to identify artifacts that may not be reliably visible on disk, such as injected code, hidden processes, suspicious DLLs/modules, live network connections, persistence objects loaded in memory, and indicators of compromise tied to backdoors.Redline(commonly referenced in DFIR training) is purpose-built forhost investigation and memory analysis. It can collect and analyze volatile data, including running processes, loaded modules, handles, drivers, network sessions, and other runtime indicators that help investigators spot malicious behavior and attribute it to specific executables or injected components.
The other options do not align with memory forensics.Medusais primarily a credential brute-force/login auditing tool, not a memory analysis utility.Shodanis an Internet-wide device search engine used for external reconnaissance, not for local host RAM inspection.Wiresharkis a packet capture and protocol analysis tool focused on network traffic, not automated memory artifact collection and analysis. Therefore, the tool Clark used to analyze memory and detect malicious activity isRedline (B).

NEW QUESTION # 36
Given below is a regex signature used by security professionals for detecting an XSS attack:
/((%3C)|<)[

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