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EC-COUNCIL 312-49v11 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Malware Forensics: This domain addresses malware investigation including controlled lab setup, static analysis, system and network behavior analysis, suspicious document examination, and ransomware investigation techniques.
Topic 2
  • Network Forensics: This domain covers network incident investigation through traffic and log analysis, event correlation, indicators of compromise identification, SIEM usage, and wireless network attack detection and examination.
Topic 3
  • Mobile Forensics: This domain covers Android and iOS forensics including device architecture, forensics processes, cellular data investigation, file system acquisition, lock bypassing, rooting
  • jailbreaking, and mobile application analysis.
Topic 4
  • Computer Forensics Investigation Process: This domain addresses the structured investigation phases including first response procedures, lab setup, evidence preservation, data acquisition, case analysis, documentation, reporting, and expert witness testimony.
Topic 5
  • Data Acquisition and Duplication: This domain addresses live and dead acquisition techniques, eDiscovery methodologies, data acquisition formats, validation procedures, write protection, and forensic image preparation for examination.
Topic 6
  • IoT Forensics: This domain addresses IoT device investigation including architecture, OWASP IoT threats, forensic processes, wearable and smart device analysis, hardware-level techniques (JTAG, chip-off), and drone data extraction.
Topic 7
  • Dark Web Forensics: This domain addresses dark web investigation focusing on Tor browser artifact identification, memory dump analysis, and extracting evidence of dark web activities.
Topic 8
  • Email and Social Media Forensics: This domain addresses email crime investigation including message analysis, U.S. email laws, social media activity tracking, footage extraction, and social network graph analysis.
Topic 9
  • Windows Forensics: This domain covers Windows-specific investigation techniques including volatile and non-volatile data collection, memory and registry analysis, web browser forensics, metadata examination, and analysis of Windows artifacts like ShellBags, LNK files, and event logs.
Topic 10
  • Defeating Anti-Forensics Techniques: This domain teaches methods to overcome evidence hiding techniques including data recovery, file carving, partition recovery, password cracking, steganography detection, encryption handling, and program unpacking.
Topic 11
  • Investigating Web Attacks: This domain covers web application forensics including IIS and Apache log analysis, OWASP Top 10 risks, and investigation of attacks like XSS, SQL injection, path traversal, command injection, and brute-force attempts.
Topic 12
  • Understanding Hard Disks and File Systems: This domain covers storage media characteristics, disk logical structures, operating system boot processes (Windows, Linux, macOS), file systems analysis, encoding standards, and examination of common file formats.
Topic 13
  • Linux and Mac Forensics: This domain addresses forensic methodologies for Linux and macOS systems including data collection, memory forensics, log analysis, APFS examination, and platform-specific investigation tools.
Topic 14
  • Cloud Forensics: This domain covers cloud platform forensics (AWS, Azure, Google Cloud) including data storage, logging, forensic acquisition of virtual machines, and investigation of cloud security incidents.

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EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q313-Q318):

NEW QUESTION # 313
Why is it still possible to recover files that have been emptied from the Recycle Bin on a Windows computer?

Answer: A


NEW QUESTION # 314
What will the following command accomplish?
dd if=/dev/xxx of=mbr.backup bs=512 count=1

Answer: D


NEW QUESTION # 315
Which of the following tools will allow a forensic Investigator to acquire the memory dump of a suspect machine so that It may be Investigated on a forensic workstation to collect evidentiary data like processes and Tor browser artifacts?

Answer: A


NEW QUESTION # 316
During an incident-response project at a biotech company in San Diego, California, the team must move 600 TB of research datasets from an isolated lab network to Google Cloud, but the site has limited bandwidth and no direct peering. They need a secure, offline method to move the data to Google for upload into Cloud Storage. Which Google Cloud service fits this requirement?

Answer: A

Explanation:
Transfer Appliance is Google Cloud's offline data transfer service for moving very large datasets when network bandwidth is limited or unavailable. Data is copied to a secure physical appliance, shipped to Google, and then uploaded into Cloud Storage.


NEW QUESTION # 317
A digital forensics team is investigating a cyberattack where multiple devices were compromised.
Among the seized devices is an Android smartphone with evidence suggesting interaction with both Windows and Linux systems.
In Android and iOS forensic analysis, why is it important to analyze files associated with Windows and Linux devices?

Answer: B

Explanation:
This scenario aligns with CHFI v11 objectives underMobile and IoT ForensicsandCross-Platform Digital Evidence Correlation. Modern cyberattacks frequently involve multiple devices and operating systems working together as part of a single attack chain. In mobile forensic investigations, Android and iOS devices often store artifacts that reflect interactions with external systems such as Windows and Linux machines.
These artifacts may include USB connection logs, file transfer records, SSH keys, shared application data, cloud sync traces, or remnants of malware propagation.
CHFI v11 emphasizes the importance ofevent correlation and timeline analysisacross heterogeneous environments. By analyzing Windows- and Linux-related files found on a mobile device, investigators can establish relationships between compromised endpoints, reconstruct attacker movement, and identify how data or malware was transferred between systems. This cross-device correlation is essential for attributing actions, understanding lateral movement, and proving coordinated activity during an incident.
The other options focus on device identification details, which are typically obtained through mobile hardware and OS artifacts, not through external system files. Therefore, the correct forensic purpose is to establish connections between multiple devices involved in the cyberattack, making option C the correct and CHFI-aligned answer.


NEW QUESTION # 318
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