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| Section | Weight | Objectives |
|---|---|---|
| Module 3: Understanding Hard Disks and File Systems | 15% | - Hard Disk Drive Basics - File System Analysis - File Systems (FAT, NTFS, ext2/3/4) - Disk Partitions and Boot Process |
| Module 11: Malware Forensics | 5% | - Malware Analysis Fundamentals - Static and Dynamic Analysis - Malware Detection and Removal |
| Module 2: Computer Forensics Investigation Process | 10% | - Pre-Investigation Phase - Investigation Process Overview - Post-Investigation Process - Investigation Phase |
| Module 6: Operating System Forensics | 15% | - Windows Forensics - Mac OS Forensics - Linux Forensics - System Artifacts Analysis |
| Module 4: Data Acquisition and Duplication | 15% | - Acquisition Methods and Tools - Data Acquisition Fundamentals - Validation and Verification - Acquisition Best Practices |
| Module 8: Investigating Web-Based Attacks | 5% | - Web Application Forensics - Browser Forensics - Tracking Web Attacks |
| Module 7: Network Forensics | 10% | - Network Forensics Fundamentals - Incident Detection and Response - Log Analysis - Network Traffic Analysis |
| Module 5: Defeating Anti-Forensic Techniques | 10% | - Artifact Wiping and Countermeasures - Data Deletion and Encryption - Steganography Detection - Anti-Forensics Overview |
| Module 9: Database Forensics | 5% | - Log Analysis and Recovery - Database Forensics Process - Database Fundamentals |
| Module 10: Cloud Forensics | 5% | - Cloud Computing Fundamentals - Cloud Forensics Challenges - Cloud Evidence Collection |
| Module 1: Computer Forensics in Today's World | 5% | - Cybercrimes and Legalities - Forensic Readiness and Professional Conduct - Fundamentals of Computer Forensics |
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NEW QUESTION # 39
A disk drive has 16,384 cylinders, 80 heads, and 63 sectors per track, and each sector can store 512 bytes of data.
What is the total size of the disk?
Answer: C
Explanation:
In classic hard-disk geometry, total capacity is computed fromCHS parameters(Cylinders × Heads × Sectors per track) multiplied bybytes per sector. Forensic examiners learn this because it helps validate whether an image acquisition size is consistent with the physical disk geometry and to spot anomalies caused by misreported device geometry or capture errors.
First compute total addressable sectors:
16,384 cylinders × 80 heads = 1,310,720 tracks(because each head provides a track per cylinder).
Then multiply by sectors per track:
1,310,720 × 63 = 82,575,360 sectors.
Convert sectors to bytes using the sector size:
82,575,360 sectors × 512 bytes/sector = 42,278,584,320 bytes.
This matches optionAexactly. In practice, modern drives often use LBA and may report different logical geometries, but the forensic principle remains the same: capacity equals the number of logical blocks times the logical block size, and CHS-style values are a structured way to perform that verification.
NEW QUESTION # 40
Clark, a security professional, identified that one of the systems in the organization is infected with malware and was used for creating a backdoor. Clark employed an automated tool to analyze the system's memory and detect malicious activities performed on the system.
In the above scenario, which of the following tools did Clark employ to detect malicious activities performed on the system?
Answer: B
Explanation:
The question specifies anautomated tool to analyze the system's memoryand detect malicious activity associated with amalware backdoor. In malware forensics and incident response practice, memory analysis is used to identify artifacts that may not be reliably visible on disk, such as injected code, hidden processes, suspicious DLLs/modules, live network connections, persistence objects loaded in memory, and indicators of compromise tied to backdoors.Redline(commonly referenced in DFIR training) is purpose-built forhost investigation and memory analysis. It can collect and analyze volatile data, including running processes, loaded modules, handles, drivers, network sessions, and other runtime indicators that help investigators spot malicious behavior and attribute it to specific executables or injected components.
The other options do not align with memory forensics.Medusais primarily a credential brute-force/login auditing tool, not a memory analysis utility.Shodanis an Internet-wide device search engine used for external reconnaissance, not for local host RAM inspection.Wiresharkis a packet capture and protocol analysis tool focused on network traffic, not automated memory artifact collection and analysis. Therefore, the tool Clark used to analyze memory and detect malicious activity isRedline (B).
NEW QUESTION # 41
Bob, a forensic specialist at a newly established NGO, discovered a security loophole in the NGO's web application, which unintentionally reveals early enrolled NGO members' biodata to attackers. Bob immediately employed a content filtering mechanism to protect all the NGO's data sources and prevent further damage.
Identify the web application threat identified by Bob in the above scenario.
Answer: B
Explanation:
The scenario describes a web application thatunintentionally reveals sensitive member biodatato attackers.
This is a classic case ofinformation leakage, where confidential or private data becomes exposed due to poor access control, improper output handling, verbose error messages, misconfigured endpoints, insecure direct object references, or unintended exposure through pages, APIs, backups, or logs. In forensic and web security documentation, information leakage is defined by theunauthorized disclosure of data, even if the attacker does not alter the system. The key indicator here is that the application is "revealing" biodata-meaning confidentiality is breached.
Bob's response-using acontent filtering mechanism-also aligns with mitigating data exposure. Content filtering can prevent sensitive fields from being returned, mask personally identifiable information, restrict responses based on user role, and sanitize outputs before they leave the server.
The other options do not match the described impact.Buffer overflowis a low-level memory corruption vulnerability, typically associated with native code execution rather than accidental biodata exposure.
Authentication hijackinginvolves taking over sessions/credentials, andcookie poisoninginvolves manipulating cookie values to gain privileges or alter behavior-neither is explicitly indicated. Therefore, the identified threat isInformation leakage (B).
NEW QUESTION # 42
Which of the following network protocols creates secure tunneling through which content obfuscation can be achieved?
Answer: A
Explanation:
SSH (Secure Shell)is specifically designed to provide anencrypted channelover an untrusted network. In digital forensics and incident response, SSH is well known for supportingtunneling/port forwarding, where traffic for another protocol (for example, HTTP, database connections, or remote desktop) is encapsulated inside an SSH session. Because the SSH session encrypts payload data (and can also protect authentication and command content), the tunneled traffic becomesobfuscated to network monitoring toolsthat can only see metadata such as source/destination IPs, port numbers (often TCP/22), timing, and byte counts. This capability is frequently discussed in forensic references as a mechanism that can hinder content inspection and complicate attribution of user actions purely from packet payload analysis.
By contrast,SNMPis primarily for network management and monitoring, not secure tunneling.ARPresolves IP- to-MAC addresses on local networks and does not provide encryption or tunneling.UDPis a transport protocol that can carry data for many applications but provides no built-in security or tunneling features by itself.
Therefore, the protocol that creates secure tunneling enabling content obfuscation isSSH (C).
event logs) to establish user intent and sequence of actions. Therefore, the correct option isBrowsingHistoryView (B).
NEW QUESTION # 43
A forensic investigator is collecting volatile data such as system information and network information present in the registries, cache, DLLs, and RAM of digital devices through its normal interface.
Identify the data acquisition method the investigator is performing.
Answer: C
Explanation:
The scenario describes the investigator collectingvolatileartifacts-specifically information inRAM, activeDLLs, system and network state, and transient data held incacheand similar runtime locations-through the device's normal interface while the system is running. In digital forensics documentation, this is the defining characteristic oflive acquisition(also called live response). Live acquisition is performed when the system remains powered on so that investigators can capture evidence that would be lost on shutdown, such as running processes, open network connections, logged-on sessions, loaded modules/DLLs, encryption keys, and portions of registry data that exist in memory or are actively changing.
By contrast,static acquisitionanddead acquisitionare conducted when the system is powered off (or the evidence drive is imaged outside the running OS), focusing primarily on persistent storage such as disk sectors and file system structures.Non-volatile data acquisitionrefers to collecting persistent data stored on media (e.g., files on disk), which does not match the emphasis on RAM and other volatile components in the question. Because the investigator is explicitly collecting volatile data from a running system via its normal interface, the correct method isLive acquisition (B).
NEW QUESTION # 44
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