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EC-COUNCIL 312-49v11 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 5
  • 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 6
  • 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 7
  • 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 8
  • 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 (Q122-Q127):

NEW QUESTION # 122
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?

Answer: B

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 # 123
A forensic investigator is examining an attack on a MySQL database. The investigator has been given access to a server, but the physical MySQL data files are encrypted, and the database is currently inaccessible. The attacker seems to have tampered with the data. Which MySQL utility program would most likely assist the investigator in determining the changes that occurred during the attack?

Answer: C


NEW QUESTION # 124
Rachel, a computer forensic investigator, is investigating a case of data theft at a law firm. She needs to capture and analyze the data present in a specific computer which is believed to be the source of the data leak. However, the computer is continuously being used for critical tasks.
Rachel is considering her options for data acquisition. Given the urgency of the situation, which type of data acquisition should Rachel choose?

Answer: A

Explanation:
Live acquisition allows Rachel to collect data from the system while it is still running and in use, enabling access to both volatile and non-volatile data without interrupting critical operations.


NEW QUESTION # 125
Following a post-breach investigation at a manufacturing company in Denver, Colorado, forensic analysts begin capturing and examining live network traffic between internal and external hosts.
The objective is to uncover communication patterns, detect unauthorized access, and determine the attacker's methods. What activity falls outside the primary objectives of network traffic investigation?

Answer: A

Explanation:
Network traffic investigation focuses on monitoring communication patterns, identifying involved hosts, tracing packets related to intrusions, and collecting evidence. Erasing intrusion traces or clearing captured packets would destroy evidence and is not a forensic investigation objective.


NEW QUESTION # 126
You are assigned a task to examine the log files pertaining to MyISAM storage engine. While examining, you are asked to perform a recovery operation on a MyISAM log file. Which among the following MySQL Utilities allow you to do so?

Answer: A


NEW QUESTION # 127
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