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EC-COUNCIL 312-49v11 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 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
  • 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 6
  • 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 7
  • 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 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
  • 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 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
  • 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.

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EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q286-Q291):

NEW QUESTION # 286
During a cybersecurity investigation involving a data breach at a financial institution, an investigator is tasked with identifying the root cause of the breach and generating a timeline of events that led to the incident. The investigator needs to determine which step in the forensic process will help uncover the sequence of activities, including the vulnerabilities exploited, the time of attack, and the specific actions taken by the attacker.
Which of the following forensic techniques is most effective for achieving this goal?

Answer: A

Explanation:
According to theCHFI v11 Forensic Investigation Process and Event Correlation objectives, the forensic technique that enables investigators toreconstruct the sequence of events and determine the root cause of an incidentisdata analysis. Data analysis is the phase where collected evidence is examined, correlated, and interpreted to extract meaningful insights about attacker behavior.
During data analysis, investigators examine logs, timestamps, file system metadata, registry entries, network traffic, memory artifacts, and security alerts to performtimeline analysis,event correlation, andkill chain reconstruction. CHFI v11 explicitly highlights techniques such astimeline creation, event deconfliction, and correlation analysisas essential for identifying thetime of attack,vulnerabilities exploited,methods used, andactions performed by the attacker.
The other options represent different forensic phases but do not directly achieve the stated goal.Data acquisitionfocuses on collecting evidence in a forensically sound manner, not interpreting it.Data duplication involves creating forensic copies to preserve evidence integrity.Photographing the crime sceneapplies primarily to physical forensics and documentation, not digital event reconstruction.
CHFI v11 emphasizes that without properdata analysis, raw evidence remains unstructured and cannot support attribution, root cause analysis, or legal prosecution. Therefore, to uncover the complete sequence of malicious activities and generate an accurate incident timeline,Data analysisis the most effective forensic technique.
Hence, the correct and CHFI-verified answer isOption C.


NEW QUESTION # 287
JPEG is a commonly used method of compressing photographic Images. It uses a compression algorithm to minimize the size of the natural image, without affecting the quality of the image. The JPEG lossy algorithm divides the image in separate blocks of____________.

Answer: D


NEW QUESTION # 288
At a multi-agency digital-forensics laboratory in Denver, Colorado, investigators must extract evidence from a drone, a smart TV, and a wearable device as part of a joint investigation. The devices span heterogeneous consumer and embedded platforms, and the team requires a single forensic solution capable of performing both low-level and filesystem-level acquisition across this mixed environment without switching between specialized tools. Which tool best meets these requirements?

Answer: B

Explanation:
The best answer is B. The product name is commonly presented as MD-NEXT, and it is described by the vendor as forensic extraction software for diverse mobile and digital devices, including drones, smart TVs, wearables, and IoT devices, with support for both physical and logical extraction methods. That makes it the only option in the list that matches the requirement for one tool covering several heterogeneous device categories without switching to separate specialty products. MOBILedit Smartwatch Kit is limited in scope to smartwatch work. MO-Drone or MD-DRONE is focused on drone evidence rather than mixed-device acquisition. IoT Inspector is aimed at observing smart-home device behavior and privacy/network activity, not broad forensic extraction across drones, televisions, and wearables. CHFI v11 includes IoT forensics and mobile device acquisition methods, so this type of tool-selection question is really testing whether the candidate can match the platform mix to the right forensic capability. Because the scenario requires one solution spanning multiple smart and embedded device classes with low-level and filesystem-level acquisition support, MD-NEXT is the strongest fit.


NEW QUESTION # 289
While collecting Active Transaction Logs using SQL Server Management Studio, the query Select
* from ::fn_dblog(NULL, NULL) displays the active portion of the transaction log file. Here, assigning NULL values implies?

Answer: A


NEW QUESTION # 290
After a big security incident at a global company, the cybersecurity unit pinpointed the cause as a cleverly designed phishing attempt coupled with an internal attack. The impact of this cybercrime has been detrimental, disrupting normal business operations and theft of sensitive information.
The company needs to assess the most effective measure to minimize the recurrence of such incidents and safeguard its IT infrastructure. What should they prioritize?

Answer: C


NEW QUESTION # 291
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