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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
  • 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 3
  • 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 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
  • 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 6
  • 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 7
  • 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 8
  • 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 9
  • 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 10
  • 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 11
  • 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 12
  • 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 13
  • 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 14
  • 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.

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EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q363-Q368):

NEW QUESTION # 363
Data acquisition system is a combination of tools or processes used to gather, analyze and record Information about some phenomenon. Different data acquisition system are used depends on the location, speed, cost. etc. Serial communication data acquisition system is used when the actual location of the data is at some distance from the computer. Which of the following communication standard is used in serial communication data acquisition system?

Answer: A


NEW QUESTION # 364
You are conducting an investigation of fraudulent claims in an insurance company that involves complex text searches through large numbers of documents. Which of the following tools would allow you to quickly and efficiently search for a string within a file on the bitmap image of the target computer?

Answer: B


NEW QUESTION # 365
How does the eDiscovery process handle electronically stored information when an organization prepares digital records such as chat logs, application data, and emails for use in judicial proceedings?

Answer: A

Explanation:
The best answer is C because CHFI v11 treats eDiscovery as a structured process for handling electronically stored information across its full legal lifecycle, not as a single technical activity. The blueprint specifically includes the eDiscovery process flow, the Electronic Discovery Reference Model cycle, collection methodologies, and best practices for controlling cost and risk. That directly supports the idea that organizations must discover relevant data, preserve and protect it, collect it in a defensible way, review it for relevance, and then present it for legal or regulatory use. Option B sounds partially correct, but admissibility is an outcome supported by proper handling rather than the full definition of the process. Option A is event correlation, which belongs more to forensic analysis and timeline reconstruction. Option D describes incident response activities rather than eDiscovery. In exam terms, whenever the question focuses on preparing emails, chats, application records, and other business data for judicial proceedings, CHFI expects you to think in terms of the EDRM-style workflow. That makes option C the only complete answer aligned with the blueprint objective.


NEW QUESTION # 366
Which of the following file formats allows the user to compress the acquired data as well as keep it randomly accessible?

Answer: C


NEW QUESTION # 367
Detective Sarah, a skilled digital forensics investigator, begins probing a compromised computer system linked to a cybercrime ring. Prioritizing volatile data, she meticulously plans her evidence- collection strategy. Amidst the investigation, various data sources emerge, each holding potential clues to unraveling the illicit scheme.
Which data source should you prioritize for collection, considering the order of volatility outlined in the RFC 3227 guidelines?

Answer: C

Explanation:
This question directly relates to CHFI v11 objectives under Data Acquisition and Duplication and the concept of order of volatility, which is formally defined in RFC 3227 (Guidelines for Evidence Collection and Archiving). CHFI v11 stresses that forensic investigators must collect the most volatile data first, as it is the most likely to be lost or altered during system shutdowns or continued operation.
According to RFC 3227, the order of volatility starts with data that changes most rapidly, such as system state and network-related information. This includes the physical configuration of the system, network topology, routing tables, ARP cache, active network connections, and running processes. These elements can disappear immediately if the system is powered off or network connectivity changes, making them the highest priority during live response.


NEW QUESTION # 368
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