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EC-COUNCIL 312-49v11 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 5
  • 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 6
  • 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 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
  • 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 9
  • 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 10
  • 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 11
  • 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 12
  • 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 13
  • 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 14
  • 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 - 312-49v11 - Trustable Computer Hacking Forensic Investigator (CHFI-v11) Latest Exam Cram

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EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q605-Q610):

NEW QUESTION # 605
In a large multinational organization, an advanced persistent threat (APT) has been detected. One of the Linux servers of the company seems to be communicating with a known malicious IP address. Alice, a cybersecurity analyst, has been given the task to analyze the situation. She collects volatile information from the server to examine active network connections and running processes. Alice is confused between three options: Redline, Volatility, and Rekall. Which tool should Alice use to perform the analysis most effectively?

Answer: D

Explanation:
Option B. Volatility is the best answer because the scenario involves analysis of volatile information from a Linux server , specifically to examine active network connections and running processes . CHFI v11 explicitly includes Linux Memory Forensics , Tools to Perform Linux Memory Forensics , Tools to Acquire Memory Dumps , and Tools to Examine the Memory Dumps . It also highlights system behavior analysis involving processes and network activities.
Volatility is one of the most recognized and practical frameworks for analyzing memory dumps to identify running processes, network artifacts, injected code, suspicious modules, and other volatile indicators. That makes it especially suitable in an APT scenario where investigators need insight into live or recently active malicious behavior.
Redline is more commonly associated with Windows-focused memory and endpoint analysis. Rekall is also a memory analysis framework, but among the choices, Volatility is the more standard CHFI-aligned answer for broad Linux memory forensics tasks. OSForensics is not the primary tool for Linux volatile memory analysis in this context. Therefore, for examining memory-based evidence on a Linux server, Volatility is the strongest answer.


NEW QUESTION # 606
In a multinational corporation, there have been increasing reports of system crashes and data leaks from the intranet. Forensic investigators discovered a highly polymorphic worm propagating across the network. The worm quickly changes its structure, making it difficult to analyze its behavior and create signatures. Susan, a cybersecurity analyst, needs to conduct a behavioral analysis of the worm in a secure and controlled environment. Which of the following tools should she use for this purpose?

Answer: B

Explanation:
Cuckoo Sandbox provides an isolated environment where the polymorphic worm can be safely executed and its behavior observed. This enables detailed behavioral analysis despite the worm's changing structure.


NEW QUESTION # 607
You are a cybersecurity analyst tasked with performing dynamic malware analysis on a suspicious file received by your organization. Your objective is to understand the behavior of the malware by running it in a controlled environment and monitoring its actions without allowing it to propagate to the production network.
As a cybersecurity analyst conducting dynamic malware analysis, what is a key aspect of designing the testing environment to ensure the safety of the production network?

Answer: B

Explanation:
According to theCHFI v11 Malware Forensics and Malware Analysis objectives, dynamic malware analysis must be performed in acontrolled, isolated, and well-monitored environmentto both observe malicious behavior and prevent unintended spread to production systems. A key requirement of such an environment is the ability tomonitor and record all system-level changesmade by the malware during execution.
Host Integrity Monitoring (HIM)plays a critical role in dynamic malware analysis by tracking modifications tofiles, registry keys, services, processes, startup locations, system calls, and configuration settings. CHFI v11 emphasizes system behavior analysis as a core component of malware forensics, including monitoring registry artifacts, file system changes, persistence mechanisms, and process activity. HIM enables investigators to safely analyze malware impact while maintaining forensic visibility and containment.
The other options are not aligned with CHFI v11 best practices.Disabling antivirus softwareweakens security controls but does not ensure containment or safety.Running malware on physical machines increases the risk of permanent damage and network propagation, which contradicts CHFI guidelines favoring sandboxed or virtualized environments.Using outdated operating systemsdoes not contribute to safety and may introduce irrelevant vulnerabilities.
CHFI v11 strongly advocatescontrolled malware analysis labswith monitoring mechanisms that capture behavioral indicators without exposing production assets. Therefore, implementinghost integrity monitoring is a key design aspect that supports bothsafe containment and effective behavioral analysis, makingOption Athe correct and CHFI-verified answer.


NEW QUESTION # 608
Data Acquisition is the process of imaging or otherwise obtaining information from a digital device and its peripheral equipment and media

Answer: B


NEW QUESTION # 609
During a coordinated investigation in Miami, agents track a darknet marketplace operator whose infrastructure spans multiple countries and hosting providers. Mutual legal assistance requests stall, and prosecutors warn that conflicting national rules may block timely access to records needed for attribution and seizure. What factor most directly accounts for this obstruction in accessing required records?

Answer: C

Explanation:
Dark web investigations often involve servers, suspects, service providers, and evidence located across different countries. This creates legal jurisdiction issues because investigators must comply with each country's laws and formal cooperation procedures before accessing records or performing seizures.


NEW QUESTION # 610
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