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EC-COUNCIL 312-49v11 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 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
  • 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 6
  • 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 7
  • 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 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
  • 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 10
  • 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 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
  • 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 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.

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EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q171-Q176):

NEW QUESTION # 171
What will the following Linux command accomplish?
dd if=/dev/mem of=/home/sam/mem.bin bs=1024

Answer: A


NEW QUESTION # 172
Investigators conduct forensic analysis to examine Tor Browser activity. They scrutinize memory dumps to extract email artifacts and analyze storage devices for email attachments, both with the Tor Browser open and closed. Additionally, they explore forensic options post-uninstallation of the Tor Browser to uncover any residual evidence.
What is the primary objective of forensic analysis in scenarios involving the Tor Browser?

Answer: B

Explanation:
This question aligns directly with CHFI v11 objectives under Dark Web Forensics and Tor Browser Forensics. The Tor Browser is specifically designed to minimize persistent artifacts and anonymize user activity, which makes forensic investigations particularly challenging. CHFI v11 emphasizes that the primary objective in Tor Browser-related investigations is to identify and extract residual artifacts across multiple operational states of the browser.
Investigators must analyze evidence when the Tor Browser is open, closed, and even after uninstallation, because artifacts may exist in different locations depending on the browser's state.
Memory dumps can reveal live artifacts such as email content, session data, credentials, and attachments when the browser is running. Storage analysis can uncover downloaded email attachments, cached files, and remnants left behind after normal usage or uninstallation.
CHFI v11 specifically highlights scenarios involving email forensics with Tor Browser open and closed, memory acquisition, and post-uninstallation analysis as complementary techniques rather than isolated tasks. Focusing on only one browser state would result in incomplete evidence collection. Therefore, the overarching forensic objective is to explore email artifacts and attachments across various Tor Browser states, making option B the correct and CHFI-aligned answer.


NEW QUESTION # 173
In a corporate espionage investigation at a technology firm, analysts need to perform targeted data acquisition using Python to extract note content and associated timestamps from Windows Sticky Notes on a suspect workstation. To minimize impact on the system, the examiner must identify the specific data store within the user profile that actually persists the note records for parsing. Which item should investigators prioritize for this acquisition task?

Answer: D

Explanation:
The correct answer is B because the actual Sticky Notes records are stored in the SQLite database file named plum.sqlite. Microsoft support guidance identifies Sticky Notes data for modern Windows versions in the LocalState folder under the user profile, and specifically names plum.sqlite as the file containing the notes. In other words, AppData\Local, Packages, and LocalState are parts of the path, but plum.sqlite is the data store that should be targeted for direct parsing when the examiner wants note content and timestamps with minimal system impact. This fits CHFI v11 objectives around Windows artifact analysis and targeted acquisition, where the goal is to collect only the evidence source that actually contains the relevant records. From a forensic perspective, selecting the database file rather than broadly acquiring surrounding directories reduces noise and limits unnecessary access to unrelated user data. Because the question asks for the specific item that persists the note records, the right acquisition target is plum.sqlite, not just the parent folders that contain it.


NEW QUESTION # 174
Using Linux to carry out a forensics investigation, what would the following command accomplish?
dd if=/usr/home/partition.image of=/dev/sdb2 bs=4096 conv=notrunc,noerror

Answer: D


NEW QUESTION # 175
You are employed directly by an attorney to help investigate an alleged sexual harassment case at a large pharmaceutical manufacturer. While at the corporate office of the company, the CEO demands to know the status of the investigation. What prevents you from discussing the case with the CEO?

Answer: A


NEW QUESTION # 176
......

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