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EC-COUNCIL 312-49v11 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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
  • 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 5
  • 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 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
  • 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 8
  • 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 9
  • 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 10
  • 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 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 (Q544-Q549):

NEW QUESTION # 544
During an investigation at a hosting provider in Denver, Colorado, analysts must bulk-scan web server logs for path/directory traversal attempts that may appear in encoded as well as literal form. To reliably match these dot-dot-slash patterns across encodings in one pass, which expression should they apply?

Answer: D

Explanation:
This expression matches directory traversal patterns by detecting literal or URL-encoded dot characters followed by a slash or backslash in literal or encoded form. It allows investigators to identify dot-dot-slash traversal attempts such as ../, .., %2e%2e%2f, and related encoded variants in web server logs.


NEW QUESTION # 545
Which of the following file formats allows the user to compress the acquired data as well as keep it randomly accessible?

Answer: D


NEW QUESTION # 546
In the course of a criminal investigation involving a suspect ' s mobile devices, the forensic investigation team needs to analyze digital evidence from both Android and iOS smartphones. Each platform presents unique challenges and methodologies for forensic analysis.
To effectively extract and examine digital evidence from these devices, which of the following statements regarding Android and iOS forensic analysis is most accurate?

Answer: C

Explanation:
Option D is the most accurate answer because CHFI v11 explicitly includes Android and iOS forensic analysis , logical and physical acquisition of Android and iOS devices , Android and iOS file systems , and APFS file system analysis as major mobile-forensics objectives.
Android devices are commonly associated in forensic contexts with Ext4-based storage structures , while iOS devices use APFS , which introduces additional complexity due to Apple's security model, sandboxing, and strong encryption protections. That makes iOS extraction and examination more dependent on specialized methods and tools. This matches the CHFI view that mobile platforms require different forensic strategies rather than one uniform method.
Option A reverses the practical situation. B is incorrect because FAT32 is not the shared native forensic file- system answer for both platforms. C contains a partially plausible idea about iOS complexity, but it is less precise and less aligned to the file-system-focused wording than D . Therefore, based on CHFI mobile- forensics objectives, the strongest answer is that Android commonly uses Ext4 , while iOS uses APFS and often requires more specialized forensic handling.


NEW QUESTION # 547
When collecting evidence from the RAM, where do you look for data?

Answer: B


NEW QUESTION # 548
Place the following In order of volatility from most volatile to the least volatile.

Answer: C


NEW QUESTION # 549
......

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