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| Section | Objectives |
|---|---|
| Topic 1: Network Forensics | - Network Traffic
|
| Topic 2: Dark Web Forensics | - Dark Web Concepts
|
| Topic 3: Defeating Anti-Forensics Techniques | - Anti-Forensics Techniques
|
| Topic 4: Mobile Forensics | - Android and iOS Forensics
|
| Topic 5: Email and Social Media Forensics | - Email Forensics
|
| Topic 6: IoT Forensics | - IoT Concepts
|
| Topic 7: Computer Forensics in Today's World | - Fundamentals of Computer Forensics
|
| Topic 8: Cloud Forensics | - Cloud Computing Concepts
|
| Topic 9: Windows Forensics | - Windows Registry
|
| Topic 10: Data Acquisition and Duplication | - Data Acquisition
|
| Topic 11: Computer Forensics Investigation Process | - Forensic Investigation Process and its Importance
|
| Topic 12: Web Attack Forensics | - Web Application Forensics
|
| Topic 13: Linux and Mac Forensics | - Linux Forensics
|
| Topic 14: Understanding Hard Disks and File Systems | - Hard Disks
|
| Topic 15: Malware Forensics | - Malware Analysis
|
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NEW QUESTION # 271
As a digital forensics expert at a cybersecurity company, you ' re knee-deep in a case involving a data breach.
You ' re tasked with scrutinizing the Windows Registry of a client ' s computer which you believe might be harboring malware related to the breach. Which part of the registry should be your main focus in order to spot potential malware entries?
Answer: B
Explanation:
Option B. HKEY_LOCAL_MACHINE is the best answer because CHFI v11 specifically emphasizes Windows memory and registry analysis as part of evidence examination and operating system forensics.
The blueprint also highlights registry-based malware persistence mechanisms and system behavior analysis , including monitoring registry artifacts, startup programs, processes, services, and event logs to identify suspicious or malicious activity.
In practical forensic work, HKEY_LOCAL_MACHINE (HKLM) is one of the most important hives because it contains system-wide configuration settings that affect the whole computer, not just one user.
Malware commonly establishes persistence there through machine-level startup locations, service entries, driver references, and other autostart mechanisms. That makes HKLM a primary place to examine when trying to identify malware that survives reboots or affects all users on the system. This fits CHFI's focus on analyzing Windows artifacts and identifying persistence mechanisms.
The other hives can also contain useful evidence, especially user-specific activity, but for main focus in spotting broad malware persistence, HKLM is the strongest CHFI-aligned answer.
NEW QUESTION # 272
Stella, a forensic investigator, is analyzing logs from a cloud environment to determine if a password leak has led to the disabling of a user account. She suspects that a change in the login settings may have triggered the account to be locked due to multiple failed login attempts. To verify her hypothesis, she applies various filters to examine the cloud audit logs.
Which of the following filters would help Stella identify if a password leak has disabled a user account?
Answer: A
Explanation:
This question aligns with CHFI v11 objectives under Cloud Forensics, particularly Google Cloud audit log analysis and authentication event investigation. In Google Cloud Platform (GCP), authentication-related events--such as login attempts, failed authentications, suspicious access behavior, and account lockouts--are handled by the Google Login API service. CHFI v11 emphasizes that when investigators are examining suspected credential compromise or password leaks, they must focus on authentication and identity-related logs rather than general administrative or configuration logs.
The filter protopayload.resource.labels.service="login.googleapis.com"
targets audit log entries generated by the login service, which records successful and failed login attempts, abnormal authentication behavior, and security enforcement actions such as temporary account lockouts caused by repeated failed logins. These events are critical indicators when determining whether a password leak resulted in account disabling.
NEW QUESTION # 273
Robert who is a CHFI investigator is dealing with a complex case of corporate fraud. He's secured multiple digital devices as evidence from different locations and at different times. His challenge is to prove in court that the evidence was not tampered with or modified from the time of seizure to the time of court presentation. What key component will help Robert achieve this?
Answer: C
Explanation:
A chain of custody documents every step of evidence handling--from seizure through analysis to presentation--ensuring traceability, accountability, and proof that the evidence remained unaltered.
NEW QUESTION # 274
A CHFI professional is investigating a data breach in a Windows 10 system. The initial analysis revealed some alterations in the system event logs. As part of the investigation, the professional uses the 'wevtutil' command-line tool. The command 'wevtutil gl Security' was executed, but the results seemed abnormal. Which of the following could be a plausible reason for this outcome?
Answer: C
NEW QUESTION # 275
During a forensic investigation of a system suspected to be involved in cybercrime, the investigator observes discrepancies between the $STANDARD_INFORMATION and
$FILE_NAME creation dates for some files. As part of the investigation process, the investigator also noted that a utility called BCWipe was found installed on the system. What would be the investigator's most plausible conclusion based on these observations?
Answer: D
Explanation:
Differences between NTFS $STANDARD_INFORMATION and $FILE_NAME timestamps are a known indicator of timestamp manipulation. The presence of BCWipe (a secure deletion/privacy tool) strengthens the inference of anti-forensic activity aimed at obscuring timelines and evidence.
NEW QUESTION # 276
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