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EC-COUNCIL 312-49v11 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 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
  • 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 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
  • 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 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.

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EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q396-Q401):

NEW QUESTION # 396
When a user deletes a file, the system creates a $I file to store its details. What detail does the $I file not contain?

Answer: C


NEW QUESTION # 397
When operating systems mark a cluster as used but not allocated, the cluster is considered as
_________

Answer: D


NEW QUESTION # 398
An organization just experienced a serious cybersecurity incident involving data theft. The first responder on the scene is anon-forensics staff member. Based on the guidelines provided, which of the following actions should they take as the first response to this incident?

Answer: D


NEW QUESTION # 399
During a malware intrusion investigation at an enterprise workstation, forensic analysts use Magnet AXIOM to reconstruct how suspicious executables were introduced and run over time. The investigation requires an artifact that records metadata about executed programs, including file paths and execution context, even when the original binaries are no longer present on disk. This artifact is used to support execution timeline analysis in conjunction with other system evidence. Which artifact should investigators prioritize for this purpose?

Answer: C

Explanation:
The best answer is D because Prefetch files are one of the strongest Windows artifacts for reconstructing program execution history and building execution timelines. Magnet notes that Prefetch files are valuable because Windows creates them when an application runs from a particular location, and they preserve useful metadata about that application history. They can remain available even if the original executable is no longer present, which makes them especially helpful in malware cases where binaries are deleted after use. In CHFI v11, Windows artifact analysis includes executed-program evidence and timeline reconstruction, so candidates are expected to identify the artifact that most directly supports execution analysis. UserAssist is useful but is more limited to certain user-driven GUI activity. ShimCache and Amcache are important artifacts, yet they are often better treated as evidence of presence or compatibility tracking rather than definitive proof of execution by themselves. Since the question emphasizes executed programs, file paths, and timeline support in AXIOM, Prefetch files are the most precise and defensible answer. They are commonly correlated with other artifacts to strengthen the narrative of malware launch and persistence.


NEW QUESTION # 400
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: A

Explanation:
According to the CHFI v11 Cloud Forensics objectives, cloud environments rely heavily onvirtualization, 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 asco-residency attacks. Once co-residency is achieved, attackers performside-channel attacksthat analyze indirect indicators such as cache timing, memory access patterns, or CPU usage to infer sensitive information.
This scenario precisely describes theexploitation 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.
Other options are incorrect because DNS hijacking (Option B) targets name resolution, SQL injection (Option D) operates at the application layer, and VM overloading (Option A) is typically associated with denial-of- service rather than covert data extraction.
The CHFI v11 blueprint explicitly addressescloud computing threats and attacks, emphasizing risks introduced bymulti-tenancy, shared infrastructure, and virtualization, making side-channel exploitation a critical forensic and security concern in cloud investigations


NEW QUESTION # 401
......

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