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EC-COUNCIL 312-49v11 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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
  • 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 5
  • 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 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
  • 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 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
  • 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
  • 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 11
  • 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.

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EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q206-Q211):

NEW QUESTION # 206
Which legal document allows law enforcement to search an office, place of business, or other locale for evidence relating to an alleged crime?

Answer: C


NEW QUESTION # 207
Choose the layer in iOS architecture that provides frameworks for iOS app development?

Answer: D


NEW QUESTION # 208
During a live-response investigation on a compromised Ubuntu web server, analysts capture a memory image to examine suspicious behavior observed within a running process. The goal is to identify evidence of anomalous memory regions that may indicate unauthorized code execution within the address space of a specific process. How should investigators use Volatility to locate this type of memory anomaly?

Answer: A

Explanation:
The correct answer is D because malfind is the Volatility plugin specifically intended to locate suspicious memory regions that may contain injected or otherwise unauthorized executable content inside a process address space. Volatility documentation describes malfind as a way to identify hidden or injected code by examining memory protections and suspicious VAD or mapped regions, which is exactly the forensic goal in the question. linux.pslist can enumerate processes, linux.lsof lists open files, and linux.mount shows mount information, but none of those plugins is designed to identify anomalous executable memory regions. CHFI v11 includes Linux memory forensics and malware behavior analysis, so candidates are expected to select the analysis method that directly matches the target artifact. In memory forensics, code injection or unauthorized execution often leaves traces in regions with unusual permissions or content patterns, and malfind is built to surface those anomalies for further review. Because the investigators want to find suspicious in-process memory areas that may reveal unauthorized code execution, the correct Volatility choice is linux.malfind.


NEW QUESTION # 209
What document does the screenshot represent?

Answer: B


NEW QUESTION # 210
When performing a forensics analysis, what device is used to prevent the system from recording data on an evidence disk?

Answer: B


NEW QUESTION # 211
......

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