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EC-COUNCIL 312-49v11 Exam Syllabus Topics:

Topic
Details

Topic 1

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 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

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 4

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 5

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 6

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 7

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 8

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 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.

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EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q349-Q354):

NEW QUESTION # 349
Alice decides to make a purchase on a popular e-commerce website. After adding items to her cart and proceeding to checkout, she notices that she is already logged into her account, thanks to the "Remember Me" feature enabled by the website. However, Alice becomes concerned when she realizes that her friend had previously warned her about the risks of cookie poisoning attacks.
Which of the following actions is most advisable for Alice to take next?

A. Clear cookies, log out, proceed with caution.
B. Proceed with VPN and privacy extension, assuming safety.
C. Implement MFA for cookie protection.
D. Create new account to avoid cookie risks.

Answer: A

Explanation:
Option A is the most advisable answer because CHFI v11 explicitly includes "Investigating Brute Force Attack and Cookie Poisoning Attack" and also covers tools to examine the cache, cookie, and history recorded in web browsers and private browsing and browser artifact recovery . These objectives reflect the forensic importance of cookies and the risks associated with manipulated or abused session data.
If Alice is concerned that stored session cookies may be unsafe or tampered with, the safest immediate user action is to clear the cookies, log out, and re-authenticate carefully . That reduces the risk of relying on an existing persistent session that may have been compromised or altered. It is a direct action tied to the actual risk described.
MFA is a good security practice overall, but it is not the most immediate next step once the concern is already about an active remembered session. Creating a new account does not address the underlying issue. Using a VPN or privacy extension does not neutralize a potentially unsafe session cookie. Therefore, the most sensible action is to clear cookies and log out before proceeding .

NEW QUESTION # 350
Syslog is a client/server protocol standard for forwarding log messages across an IP network.
Syslog uses ___________to transfer log messages in a clear text format.

A. TCP
B. POP
C. SMTP
D. FTP

Answer: A

NEW QUESTION # 351
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?

A. Process Explorer
B. OSForensics
C. analyzeMFT
D. Regshot

Answer: C

Explanation:
According to theCHFI v11 Operating System Forensicscurriculum, timestamp manipulation is a common anti-forensics techniqueused by attackers to obscure activity timelines. OnNTFS file systems, each file maintains multiple sets of timestamps-such as$STANDARD_INFORMATIONand$FILE_NAME attributes-stored within theMaster File Table (MFT). Discrepancies between these timestamp sets are strong indicators oftimestamp tampering.
analyzeMFTis a specialized forensic tool designed explicitly to parse and analyze theNTFS Master File Table. CHFI v11 highlights MFT analysis as a critical method for detectingtime-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.
The other tools are not appropriate for this task.Regshotis used to compare Windows Registry snapshots, OSForensicsis a general forensic suite but is not specifically optimized for low-level MFT timestamp comparison, andProcess Exploreris a live system monitoring tool focused on running processes rather than file system metadata.
CHFI v11 explicitly emphasizesNTFS MFT analysisas the authoritative method for identifying manipulated timestamps. Therefore, the most accurate and CHFI-aligned tool for detecting timestamp modifications on NTFS file systems isanalyzeMFT, makingOption Athe correct answer.

NEW QUESTION # 352
A security firm investigating an IoT-based cybercrime involving an Android smartwatch found on the crime scene. The smartwatch is suspected of capturing sensitive information such as PINs and passwords through motion sensors and GPS tracking. The paired smartphone is not available. Which of the following steps should the investigator undertake first to proceed with the forensics process effectively?

A. Generate forensic images of the evidence found on the crime scene
B. Look for cloud data and mobile data linked to the smartwatch
C. Extract data from the smartwatch's memory before it gets volatile
D. Identify APIs like Data API, Message API, and Node API on the smartwatch

Answer: C

NEW QUESTION # 353
During a digital forensics investigation, an investigator is tasked with collecting data from servers and shared drives within an organization's infrastructure. The investigator accesses and retrieves relevant electronic evidence from these central storage locations to assist in the investigation. This data collection includes files, user logs, and other system artifacts necessary for understanding the scope of the incident. Which eDiscovery collection methodology is the investigator employing in this scenario?

A. The investigator uses mobile device collection to retrieve data from smartphones, tablets, or other mobile devices.
B. The investigator uses cloud-based collection to retrieve data from cloud storage and platforms.
C. The investigator uses network collection to gather data directly from internal repositories and organizational data hubs across the network.
D. The investigator uses email collection to extract relevant communications and attachments from email systems.

Answer: C

Explanation:
Under the CHFI v11 objectives related to theeDiscovery process, investigators must understand and correctly apply variouseDiscovery collection methodologiesbased on where data resides and how it is accessed. In this scenario, the investigator is collecting evidence frominternal servers and shared drivesthat are part of the organization's on-premises infrastructure. These repositories typically store centralized data such as user files, audit logs, access records, and application artifacts.
This approach directly aligns withnetwork collection, an eDiscovery methodology in which data is acquired remotely over the organizational network fromfile servers, database servers, shared storage, and internal repositories. Network collection is commonly used in enterprise investigations because it allows investigators to gather large volumes of data efficiently without physically seizing individual endpoint devices.
Cloud-based collection (Option B) applies only when data is hosted on third-party cloud platforms such as AWS, Azure, or Google Cloud. Email collection (Option C) is limited to mail servers and messaging systems, while mobile device collection (Option D) focuses on smartphones and tablets. None of these accurately describe the centralized, internal infrastructure outlined in the scenario.
The CHFI v11 Exam Blueprint emphasizeseDiscovery collection methodologiesas part of forensic readiness and investigation workflows, highlighting network collection as the appropriate technique for acquiring evidence from organizational servers and shared drives while maintaining integrity and chain of custody

NEW QUESTION # 354
......

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