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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	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 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	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 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	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 7	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 8	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 9	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 10	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 11	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 12	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.

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EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q17-Q22):

NEW QUESTION # 17
In a situation where an investigator needs to acquire volatile data from a live Linux system, the physical access to the suspect machine is either restricted or unavailable. Which of the following steps will be the most suitable approach to perform this task?

A. The investigator should initiate a listening session on the forensic workstation using 'netcat', then execute a 'dd' command on the suspect machine and pipe the output using 'netcat'
B. The investigator should leverage OSXPMem to remotely parse the physical memory in the Linux machine and create AFF4 format images for analysis
C. The investigator should use the Belkasoft Live RAM Capturer on the forensic workstation, then remotely execute the tool on the suspect machine to acquire the RAM image
D. The investigator should employ the LiME tool and 'netcat', starting a listening session using tcp:port on the suspect machine and then establishing a connection from the forensic workstation using 'netcat'

Answer: D

NEW QUESTION # 18
As a Computer Hacking Forensic Investigator, you are analysing a system with a UEFI boot process underway. You have reached the Boot Device Selection phase, and you notice that the system is attempting to load MBR boot code into memory. What can you infer from this?

A. The system is going through a legacy BIOS boot process
B. The system is stuck in the Pre-EFI initialization phase
C. The system is transitioning to the DXE phase
D. The system follows a UEFI boot process

Answer: A

NEW QUESTION # 19
During a forensic investigation into a cyberattack that compromised a company's sensitive data, the investigator discovers that the organization uses a cloud-based solution for managing user access across various internal systems. This solution includes features such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), and detailed access controls, all handled by a third-party service provider. The investigator examines logs from the authentication system and compares them with system access patterns to trace the illegal actions during the breach. What type of cloud service deployment is being utilized by the organization?

A. The organization uses Infrastructure-as-a-Service (IaaS) for managing user access on systems and the network.
B. The organization uses Desktop-as-a-Service (DaaS) for access controls or authentication management.
C. The organization uses Platform-as-a-Service (PaaS) to deploy and manage custom-built authentication and access control applications.
D. The organization uses Identity-as-a-Service (IDaaS) for enforcing authorization rules.

Answer: D

Explanation:
As per theCHFI v11 Cloud Forensics objectives, cloud-based identity and access management solutions that provideSingle Sign-On (SSO),Multi-Factor Authentication (MFA), centralized authentication, and fine- grained authorization controls-managed entirely by athird-party provider-are classified asIdentity-as-a- Service (IDaaS).
IDaaS is a specialized cloud service model designed specifically foridentity management, including authentication, authorization, user provisioning, role-based access control, and centralized logging of authentication events. In forensic investigations, IDaaS platforms are critical evidence sources because they generatedetailed authentication logs, login timestamps, MFA challenges, IP addresses, device identifiers, and anomaly alerts. These logs allow investigators to correlate user identities with access patterns and trace unauthorized or malicious actions across multiple systems.
The CHFI v11 blueprint explicitly differentiates IDaaS from other cloud service models.IaaSfocuses on infrastructure resources such as virtual machines and networks, not identity enforcement.PaaSis used for developing and deploying custom applications, which is not indicated here since the authentication is handled by a third party.DaaSdelivers virtual desktops and does not inherently manage enterprise-wide authentication and authorization.
Therefore, based on the presence of third-party-managed SSO, MFA, centralized access control, and authentication log analysis, the correct answer-fully aligned with CHFI v11 documentation-isIdentity-as- a-Service (IDaaS).

NEW QUESTION # 20
Identify the location of Recycle Bin on a Windows 7 machine that uses NTFS file system to store and retrieve files on the hard disk.

A. C:\RECYCLED
B. DriveARECYCLED
C. Drive:\$Recycle.Bin
D. DriveARECYCLER

Answer: C

NEW QUESTION # 21
In a sophisticated cloud attack, assailants strategically deploy virtual machines (VMs) in close proximity to target servers. Leveraging shared physical resources, they execute side-channel attacks, extracting sensitive data through timing vulnerabilities. Subsequently, they exploit stolen credentials to impersonate legitimate users, posing a grave security risk. How do attackers compromise cloud security by exploiting the proximity of virtual machines (VMs) to target servers?

A. Application Layer Exploitation for SQL Injection
B. Targeted VM Overloading for Side-Channel Attacks
C. Exploitation of Shared Resources for Side-Channel Attacks
D. Cloud Infrastructure Breach via DNS Hijacking

Answer: C

Explanation:
According to the CHFI v11 Cloud Forensics objectives, cloud environments rely heavily on virtualization, where multiple virtual machines share the same underlying physical hardware such as CPU caches, memory, storage, and network interfaces. Attackers can exploit this shared- resource model by intentionally placing malicious VMs on the same physical host as the victim VM, a technique often referred to as co-residency attacks. Once co-residency is achieved, attackers perform side-channel attacks that analyze indirect indicators such as cache timing, memory access patterns, or CPU usage to infer sensitive information.
This scenario precisely describes the exploitation of shared resources for side-channel attacks.
Timing vulnerabilities in shared CPU caches or memory buses allow attackers to extract cryptographic keys, credentials, or other sensitive data without directly breaching the target system. After obtaining credentials, attackers may impersonate legitimate users, escalating the impact of the attack.

NEW QUESTION # 22
......

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