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EC-COUNCIL 312-49v11 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 5
  • 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 6
  • Computer Forensics in Today's World: This domain covers fundamentals of computer forensics including cybercrime types, investigation procedures, digital evidence handling, forensic readiness, investigator roles and responsibilities, industry standards, and legal compliance requirements.
Topic 7
  • 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.
Topic 8
  • 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 9
  • 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 10
  • 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 11
  • 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 12
  • 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.

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EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q238-Q243):

NEW QUESTION # 238
As an IoT forensic investigator, you are tasked with investigating a cybercrime involving a compromised Smart TV and other IoT devices. The investigation requires extracting data from various IoT devices, including drones, wearables, and SD cards, to gather crucial evidence. You need a tool capable of performing both physical and logical extractions from these devices, covering mobile devices running Android, iOS, Tizen OS, and chip-off memory sources. Which of the following tools would be most suitable for this investigation?

Answer: B

Explanation:
This question maps directly to CHFI v11 objectives underMobile and IoT ForensicsandTools for IoT Device Forensics. IoT investigations often involve heterogeneous devices with different operating systems, storage mechanisms, and acquisition challenges. CHFI v11 emphasizes the need for specialized forensic tools that supportboth logical and physical extraction, including advanced techniques such as chip-off and SD card analysis, to ensure comprehensive evidence collection.
MD-NEXT is a purpose-built digital forensic tool designed for mobile and IoT investigations. It supports forensic acquisition and analysis across a wide range of platforms, including Android, iOS, Tizen OS, wearables, drones, smart TVs, and removable media. Importantly, MD-NEXT provides capabilities for logical extraction, physical imaging, file system parsing, and chip-off memory analysis, which are critical when dealing with damaged, locked, or non-standard IoT devices.
The other options are not suitable for this scenario. DoubleSpace is a disk compression utility, EpochConverter is used for timestamp conversion, and Systemctl is a Linux service management command.
None provide forensic acquisition capabilities. Therefore, MD-NEXT is the most suitable and CHFI v11- aligned tool for comprehensive IoT and mobile device forensic investigations.


NEW QUESTION # 239
How is electronically stored information collected in an eDiscovery matter when access occurs through centrally managed computing environments through secure network connections rather than obtaining physical possession of the underlying storage media?

Answer: A

Explanation:
The best answer is D because the question describes collecting electronically stored information through secure network access to centrally managed systems without taking physical possession of the storage media.
That is the defining idea behind remote acquisition. CHFI v11 includes data acquisition methods, eDiscovery collections and methodologies, and cloud or distributed evidence collection practices. In those contexts, investigators often need to preserve and collect evidence from systems that remain in place inside enterprise or hosted environments. Full disk acquisition would involve imaging an entire storage device, which is not what the scenario describes. Incremental collection refers to gathering only newly changed or additional data after an earlier collection. Directed collection is a more targeted scoping concept, but the main operational characteristic in the question is the network-based access to evidence without seizing the device itself. For CHFI exam logic, when evidence is gathered from a managed environment over secure connections rather than through direct physical media possession, remote acquisition is the most accurate term. It best reflects both the collection method and the practical reality of many modern enterprise and eDiscovery investigations.


NEW QUESTION # 240
A small law firm located in the Midwest has possibly been breached by a computer hacker looking to obtain information on their clientele. The law firm does not have any on-site IT employees, but wants to search for evidence of the breach themselves to prevent any possible media attention. Why would this not be recommended?

Answer: C


NEW QUESTION # 241
If you come across a sheepdip machine at your client site, what would you infer?

Answer: B


NEW QUESTION # 242
Alice decides to make a purchase on a popular e-commerce website. After adding items to her cart and proceeding to checkout, she notices that she is already logged into her account, thanks to the "Remember Me" feature enabled by the website. However, Alice becomes concerned when she realizes that her friend had previously warned her about the risks of cookie poisoning attacks.
Which of the following actions is most advisable for Alice to take next?

Answer: D

Explanation:
Option A is the most advisable answer because CHFI v11 explicitly includes "Investigating Brute Force Attack and Cookie Poisoning Attack" and also covers tools to examine the cache, cookie, and history recorded in web browsers and private browsing and browser artifact recovery . These objectives reflect the forensic importance of cookies and the risks associated with manipulated or abused session data.
If Alice is concerned that stored session cookies may be unsafe or tampered with, the safest immediate user action is to clear the cookies, log out, and re-authenticate carefully . That reduces the risk of relying on an existing persistent session that may have been compromised or altered. It is a direct action tied to the actual risk described.
MFA is a good security practice overall, but it is not the most immediate next step once the concern is already about an active remembered session. Creating a new account does not address the underlying issue. Using a VPN or privacy extension does not neutralize a potentially unsafe session cookie. Therefore, the most sensible action is to clear cookies and log out before proceeding .


NEW QUESTION # 243
......

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