112-57 Testengine & 112-57 Exam Fragen

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EC-COUNCIL 112-57 Prüfungsplan:

Thema	Einzelheiten
Thema 1	Investigating Web Attacks: This module focuses on analyzing web application attacks through server logs and detecting malicious activities targeting web servers and applications.
Thema 2	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.
Thema 3	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.
Thema 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.
Thema 5	Network Forensics: This module introduces network forensic concepts, including event correlation, analyzing network logs, identifying indicators of compromise, and investigating network traffic.
Thema 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) 112-57 Prüfungsfragen mit Lösungen (Q14-Q19):

14. Frage
Given below are different steps involved in event correlation.
Event masking
Event aggregation
Root cause analysis
Event filtering
Identify the correct sequence of steps involved in event correlation.

A. 1-->3-->4-->2
B. 1-->3-->2-->4
C. 2-->1-->4-->3
D. 2-->4-->3-->1

Antwort: C

Begründung:
In event correlation (as applied in SOC/SIEM-driven investigations), the workflow typically starts byreducing complexityandnormalizing what "one incident" looks likebefore attempting conclusions about causality.Event aggregation (2)is performed early to combine multiple low-level, related events (for example repeated authentication failures, repeated firewall denies, or multiple IDS hits for the same signature) into higher-level
"grouped" records. This prevents analysts from treating every raw log line as a separate incident and makes correlation computationally and operationally feasible.
Next,event masking (1)suppresses events that are already known to be irrelevant or repetitive in a way that does not add investigative value (for example, routine scheduled scans, approved admin tools, or duplicate alerts already represented in the aggregated set). After masking,event filtering (4)further removes remaining noise using rules, thresholds, whitelists, time windows, or relevance criteria (scope, asset criticality, and known-benign sources), leaving a cleaner dataset that represents probable security-relevant activity.
Only after the dataset is consolidated and noise-reduced doesroot cause analysis (3)become reliable, because RCA depends on a clear chain of correlated events to identify the initiating action and propagation path.
Hence the correct sequence is2 # 1 # 4 # 3 (Option B).

15. Frage
Below are the various steps involved in an email crime investigation.
1.Acquiring the email data
2.Analyzing email headers
3.Examining email messages
4.Recovering deleted email messages
5.Seizing the computer and email accounts
6.Retrieving email headers
What is the correct sequence of steps involved in the investigation of an email crime?

A. 2-->4-->3-->6-->5-->1
B. 1-->3-->6-->4-->5-->2
C. 5-->1-->3-->6-->2-->4
D. 1-->3-->4-->2-->5-->6

Antwort: C

Begründung:
In an email crime investigation, the workflow should begin withseizing the computer and email accounts (5)to preserve evidence and prevent alteration, deletion, or continued misuse. This includes securing endpoints and ensuring account access is maintained under proper authority. Next, investigators proceed withacquiring the email data (1)using forensic methods (logical export, mailbox acquisition, or forensic imaging of local mail stores) to maintain integrity and chain of custody.
Once the data is preserved, investigatorsexamine email messages (3)to identify relevant communications, context, attachments, and indicators of fraud, harassment, data leakage, or impersonation. After identifying emails of interest, investigatorsretrieve email headers (6)(full headers, not just what the mail client displays) because headers contain routing metadata required for attribution and timeline reconstruction. They thenanalyze email headers (2)to interpret fields such as Received lines, Message-ID, originating IP clues (where applicable), sending infrastructure, and authentication results, which helps determine spoofing, relay paths, and sender legitimacy. Finally, theyrecover deleted email messages (4)from mail stores, server-side retention, or unallocated space to restore missing evidence. This sequence matches optionA.

16. Frage
Which of the following files belonging to the Extensible Storage Engine (ESE) stores the mail data in Microsoft Exchange Server?

A. Database.edb
B. DataStore.edb
C. WLCalendarStore.edb
D. Mail.MSMessageStore

Antwort: A

Begründung:
Microsoft Exchange Server stores mailbox contents (emails, attachments, folders, and related messaging objects) inside anESE (Extensible Storage Engine) databasethat uses the.edbfile format. In Exchange terminology this is theMailbox Database, and its primary persistent store is thedatabase .edb filealong with associated transaction logs that support write-ahead logging and recovery. From a forensic perspective, the.
edbfile is the central artifact because it contains the structured mailbox data that investigators analyze for message content, metadata (timestamps, sender/recipient fields, message IDs), and folder structure.
Among the options,Database.edbbest matches the Exchange ESE mailbox database file that stores mail data.
The other options are either generic or associated with different Microsoft messaging components:Mail.
MSMessageStorerelates to the Windows Mail/Modern Mail app storage model rather than Exchange Server's mailbox database, andWLCalendarStore.edbis commonly tied to Windows Live/Windows Essentials calendar or communications storage, not Exchange's server-side mailbox store.DataStore.edbis also used by other Windows services, but the recognized Exchange mailbox store is the.edb database file, makingDatabase.edb (D)the correct answer.

17. Frage
Which of the following tools helps a forensics investigator develop and test across multiple operating systems in a virtual machine for Mac and allows access to Microsoft Office for Windows?

A. Riverbed Modeler
B. NetSim
C. Parallels Desktop 16
D. Camtasia

Antwort: C

Begründung:
A common requirement in macOS-focused forensic labs is the ability to runmultiple operating systemson a single Mac for controlled testing, malware detonation in a sandbox, reproduction of user activity, and validation of artifacts across platforms. This is typically achieved throughdesktop virtualization, where a hypervisor hosts guest operating systems (such as Windows and various Linux distributions) inside virtual machines.Parallels Desktop 16is a Mac virtualization solution built specifically to run Windows on macOS with strong integration features (such as shared clipboard, folder sharing, and "coherence" modes that allow Windows applications to appear alongside Mac applications). This capability aligns with the question's description: developing and testing across multiple OSs in VMs on a Mac and enabling use ofMicrosoft Office for Windowswithin that Windows guest environment.
The other tools do not fit.Riverbed ModelerandNetSimare primarilynetwork modeling/simulationtools used for network design and training, not desktop virtualization.Camtasiais used forscreen recording and video editing, which can support documentation but does not provide a VM environment. Therefore, the only option that directly provides cross-OS virtual machines on macOS and supports running Windows applications like Microsoft Office isParallels Desktop 16 (B).

18. Frage
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?

A. Timeline analysis
B. Web artifacts
C. Multimedia
D. Data carving

Antwort: D

Begründung:
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)

19. Frage
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