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EC-COUNCIL 312-49v11 Exam Syllabus Topics:

SectionObjectives
Linux and Mac Forensics- Linux Forensics
  • 1. Mac Forensics
Computer Forensics Investigation Process- Forensic Investigation Process and its Importance
  • 1. Investigation Phase
  • 2. Post-Investigation Phase
  • 3. First Response
  • 4. Pre-Investigation Phase
Mobile Forensics- Android and iOS Forensics
  • 1. Mobile Forensic Acquisition
Network Forensics- Network Traffic
  • 1. Wireless Network Forensics
  • 2. Event Correlation
Cloud Forensics- Cloud Computing Concepts
  • 1. Cloud Forensic Challenges
  • 2. AWS, Azure, and Google Cloud Forensics
Dark Web Forensics- Dark Web Concepts
  • 1. Tor Browser Forensics
Understanding Hard Disks and File Systems- Hard Disks
  • 1. File System Analysis
  • 2. Windows, Linux, and Macintosh Boot Processes
  • 3. File Systems
Windows Forensics- Windows Registry
  • 1. Windows File Systems
  • 2. Event Logs
  • 3. Windows Memory and Artifacts
Data Acquisition and Duplication- Data Acquisition
  • 1. Data Acquisition Formats
  • 2. Validation of Data Acquisition
  • 3. Data Duplication
Malware Forensics- Malware Analysis
  • 1. Ransomware Analysis
  • 2. Static and Dynamic Analysis
Email and Social Media Forensics- Email Forensics
  • 1. Social Media Forensics
Defeating Anti-Forensics Techniques- Anti-Forensics Techniques
  • 1. Steganography
  • 2. Data Sanitization
  • 3. Password Cracking
Web Attack Forensics- Web Application Forensics
  • 1. Investigating Web Attacks
  • 2. Server Logs
IoT Forensics- IoT Concepts
  • 1. IoT Forensic Challenges
Computer Forensics in Today's World- Fundamentals of Computer Forensics
  • 1. Forensic Readiness
  • 2. Role of Various Processes and Technologies in Computer Forensics
  • 3. Roles and Responsibilities of a Forensic Investigator
  • 4. Standards and Best Practices Related to Computer Forensics
  • 5. Laws and Legal Compliance in Computer Forensics
  • 6. Challenges Faced in Investigating Cybercrimes
  • 7. Cybercrimes and their Investigation Procedures
  • 8. Digital Evidence and eDiscovery

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EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q389-Q394):

NEW QUESTION # 389
You are a forensic analyst working on a case of a possible cyber-attack on a bank's network. You have been provided an image of the suspected machine for examination. To ensure a thorough investigation, you decided to use Autopsy for file system analysis. However, the image is huge, and manually sifting through the data could take weeks. What Autopsy feature can be utilized to expedite the analysis process?

Answer: A

Explanation:
Timeline analysis in Autopsy organizes file system activity chronologically, allowing investigators to quickly identify suspicious events, patterns, and anomalies across large datasets without manually reviewing each file.


NEW QUESTION # 390
As a forensic investigator specializing in cybersecurity, you've been assigned to analyze a suspicious PDF document named"infected.pdf."This document was discovered on a company server and is suspected to contain malicious scripts that could pose a threat to the organization's systems and network. As part of your investigation into the PDF document, what initial step would you take to identify potential malicious components within the file?

Answer: B

Explanation:
According to the CHFI v11 objectives underMalware ForensicsandStatic Malware Analysis, the correct initial step when analyzing a suspicious document-such as a potentially malicious PDF-is to performstatic analysis before any execution. Running the toolPDFiDusing the command python pdfid.py infected.pdf is a standard and CHFI-aligned first action. PDFiD is designed to quickly scan a PDF file and identify suspicious elements such as /JavaScript, /OpenAction, /Launch, /EmbeddedFile, and /AA, which are commonly abused by attackers to deliver malware through PDF documents.
This approach is non-intrusive and ensures the investigator does not accidentally trigger malicious code, thereby preserving evidence integrity and maintaining forensic soundness. Opening the file in a virtual machine (Option B) constitutesdynamic analysis, which should only be performed after initial static indicators suggest malicious intent and after proper containment controls are in place. Metadata extraction (Option C) is useful but limited, as metadata alone does not reliably expose embedded exploit code. Manual hex inspection (Option D) is advanced and time-consuming and is not recommended as the first step.
The CHFI v11 Exam Blueprint emphasizes astructured malware analysis workflow, starting with static analysis tools like PDFiD for suspicious documents, making Option A the most appropriate and exam- accurate answer


NEW QUESTION # 391
During a digital forensics investigation, suspicious activity is detected in a Google Cloud Platform (GCP) environment. The investigation team gains access to logs and metadata from the GCP services.
In Google Cloud forensics, what role do logs and metadata play in the investigation process?

Answer: C

Explanation:
This question aligns with CHFI v11 objectives under Cloud Forensics, particularly focusing on evidence acquisition and analysis in cloud environments such as Google Cloud Platform (GCP).
Unlike traditional on-premises systems, cloud infrastructures rely heavily on logs and metadata as primary sources of forensic evidence because investigators often do not have direct access to physical hardware.
CHFI v11 emphasizes that cloud service logs--such as audit logs, access logs, activity logs, and resource metadata--are crucial for reconstructing events in a cloud-based incident. In GCP, these logs record detailed information about user actions, API calls, authentication attempts, resource creation or deletion, privilege changes, and interactions with cloud services. This enables investigators to trace malicious activity, identify compromised accounts, establish timelines, and attribute actions to specific users or service accounts.
While logs may incidentally include IP addresses or device-related hints, their primary forensic value lies in tracking what actions were performed, when they occurred, and by whom. Encryption mechanisms are predefined by the cloud provider and are not inferred from logs during investigations. Therefore, consistent with CHFI v11 cloud forensics methodology, logs and metadata are essential for tracking user actions and interactions within the GCP environment, making option D the correct answer.


NEW QUESTION # 392
Which layer of iOS architecture should a forensics investigator evaluate to analyze services such as Threading, File Access, Preferences, Networking and high-level features?

Answer: D


NEW QUESTION # 393
What will the following command produce on a website login page?
SELECT email, passwd, login_id, full_name FROM members
WHERE email = 'someone@somehwere.com';
DROP TABLE members; --'

Answer: B

Explanation:
The third line deletes the table named members.


NEW QUESTION # 394
......

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