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EC-COUNCIL 312-49v11 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 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
  • 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 6
  • 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 7
  • 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 8
  • 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 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
  • 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 12
  • 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 13
  • 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 14
  • 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.

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EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q424-Q429):

NEW QUESTION # 424
Sophia, a forensic analyst, is examining the event log files on a compromised server. During her investigation, she identifies an entry in the event log header that seems unusual. The entry's ELF_LOGFILE_HEADER value indicates that records have been written to the log, but the event log file has not been properly closed. Based on this information, which ELF_LOGFILE_HEADER value would Sophia identify?

Answer: C

Explanation:
The DIRTY flag indicates that the event log contains records but was not properly closed, meaning the log file may be in an inconsistent state due to improper shutdown or tampering.


NEW QUESTION # 425
Emma, a forensic investigator, discovers that the attacker has tampered with the timestamp metadata of several files, making it difficult to accurately determine when the files were created, accessed, or modified. Emma needs to identify files with manipulated timestamps to uncover hidden evidence. Which of the following tools can Emma use to detect timestamp modifications on NTFS file systems?

Answer: D

Explanation:
According to the CHFI v11 Operating System Forensics curriculum, timestamp manipulation is a common anti-forensics technique used by attackers to obscure activity timelines. On NTFS file systems, each file maintains multiple sets of timestamps--such as $STANDARD_INFORMATION and $FILE_NAME attributes--stored within the Master File Table (MFT). Discrepancies between these timestamp sets are strong indicators of timestamp tampering.
analyzeMFT is a specialized forensic tool designed explicitly to parse and analyze the NTFS Master File Table. CHFI v11 highlights MFT analysis as a critical method for detecting time- stomping attacks, where attackers alter file timestamps using utilities like timestomp. analyzeMFT allows investigators to compare multiple timestamp attributes, identify anomalies, reconstruct timelines, and detect inconsistencies that standard file system views cannot reveal.


NEW QUESTION # 426
Data density of a disk drive is calculated by using_______

Answer: A


NEW QUESTION # 427
An international organization suffered a significant breach of its database containing sensitive customer data.
In the aftermath, the organization decided to hire an external forensic investigator. However, the company ' s board is at odds with the selection criteria for the external investigator. They ' ve asked for your advice. Given the sensitive nature of the breached data and the scale of the attack, what should be a key factor to consider when hiring an external forensic investigator?

Answer: A

Explanation:
Option C is the strongest answer because, in a major breach involving sensitive customer data and a large attack scope, the most important practical hiring factor is whether the external investigator has experience handling similar incidents . CHFI v11 emphasizes the roles and responsibilities of forensic investigators , what makes a good computer forensics investigator , and the importance of choosing personnel with the right skills and investigative capability for the case at hand.
Adherence to ethics is important, and reputation can matter, but the question asks for a key factor in the context of a high-stakes breach investigation. Experience with similar cases directly affects the investigator's ability to preserve evidence, scope the breach, handle legal sensitivity, manage cross-system analysis, and produce defensible findings efficiently. That makes it more operationally decisive than general reputation or internal-system familiarity.
Therefore, from a CHFI standpoint, the board should prioritize an external investigator with proven experience in dealing with similar cyber breach and forensic cases , as that is most likely to produce reliable, court-defensible, and technically sound results.


NEW QUESTION # 428
During a malware-persistence investigation on a Linux system, an analyst must verify whether a critical executable has been altered since deployment. The task requires generating a value from the file that can be compared against a trusted reference to validate its integrity using a Python-based forensic utility. Which script should be used to perform this verification?

Answer: D

Explanation:
The correct answer is C because integrity verification in digital forensics is performed by calculating a cryptographic hash value for the file and comparing it with a trusted known-good reference. The script name hash_calculation.py directly indicates that it is intended to generate such a value. In CHFI v11, digital forensics using Python includes acquisition, validation, and artifact analysis tasks, and hashing is one of the most fundamental operations for confirming that a file has not changed. A forensic examiner would use this approach to determine whether a Linux executable has been tampered with, replaced, or modified for persistence. The other script names point to unrelated functions: system log review, reboot history, or volatile information collection. None of those directly produces the file fingerprint needed for integrity comparison. In exam reasoning, when the question asks for a Python utility that validates whether a file remains unchanged by generating a comparison value, the most appropriate answer is the script explicitly dedicated to hash calculation. That aligns with CHFI's emphasis on evidence validation and integrity assurance during forensic analysis.


NEW QUESTION # 429
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