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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Module 3: Understanding Hard Disks and File Systems | 15% | - File Systems (FAT, NTFS, ext2/3/4) - File System Analysis - Disk Partitions and Boot Process - Hard Disk Drive Basics |
| Topic 2: Module 10: Cloud Forensics | 5% | - Cloud Forensics Challenges - Cloud Computing Fundamentals - Cloud Evidence Collection |
| Topic 3: Module 5: Defeating Anti-Forensic Techniques | 10% | - Steganography Detection - Anti-Forensics Overview - Artifact Wiping and Countermeasures - Data Deletion and Encryption |
| Topic 4: Module 9: Database Forensics | 5% | - Database Forensics Process - Database Fundamentals - Log Analysis and Recovery |
| Topic 5: Module 4: Data Acquisition and Duplication | 15% | - Acquisition Best Practices - Validation and Verification - Data Acquisition Fundamentals - Acquisition Methods and Tools |
| Topic 6: Module 1: Computer Forensics in Today's World | 5% | - Fundamentals of Computer Forensics - Forensic Readiness and Professional Conduct - Cybercrimes and Legalities |
| Topic 7: Module 6: Operating System Forensics | 15% | - Windows Forensics - System Artifacts Analysis - Mac OS Forensics - Linux Forensics |
| Topic 8: Module 2: Computer Forensics Investigation Process | 10% | - Investigation Process Overview - Investigation Phase - Post-Investigation Process - Pre-Investigation Phase |
| Topic 9: Module 11: Malware Forensics | 5% | - Static and Dynamic Analysis - Malware Analysis Fundamentals - Malware Detection and Removal |
| Topic 10: Module 8: Investigating Web-Based Attacks | 5% | - Browser Forensics - Web Application Forensics - Tracking Web Attacks |
| Topic 11: Module 7: Network Forensics | 10% | - Log Analysis - Network Forensics Fundamentals - Network Traffic Analysis - Incident Detection and Response |
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NEW QUESTION # 25
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: A
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 # 26
Which of the following measures is defined as the time to move read or write disc heads from one point to another on the disk?
Answer: A
Explanation:
Seek timeis the specific performance measure that describes how long a hard disk drive's actuator takes tomove the read/write heads across the plattersfrom the current track (cylinder) to the target track where the requested data resides. In traditional magnetic HDDs, the heads must be physically repositioned before any sector can be read or written, making seek time a core component of mechanical latency.
Digital forensics materials emphasize understanding this distinction because HDD mechanical behavior affectsacquisition duration, the feasibility of repeated scans, and why imaging or carving operations can take longer on fragmented media. It also helps explain why solid-state drives (SSDs), which have no moving heads, do not have seek time in the same sense and therefore behave differently during large-scale reads.
The other choices are broader or unrelated:access timetypically refers to thetotal time to retrieve data, commonly combiningseek time + rotational latency + transfer time.Delay timeis not the standard term for head movement in disk performance definitions.Mean timeis incomplete as written and is usually part of reliability metrics like mean time between failures, not head positioning. Therefore, the correct measure for head movement time isSeek time (C).
NEW QUESTION # 27
Which of the following techniques is used to compute the hash value for a given binary code to uniquely identify malware or periodically verify changes made to the binary code during analysis?
Answer: A
Explanation:
File fingerprintingis the forensic technique of generating acryptographic hash(such as MD5, SHA-1, SHA-
256) for a file to create aunique, repeatable identifierfor that exact byte sequence. In malware forensics, analysts compute hashes to (1)uniquely identifya suspicious binary across cases and tools, (2) confirm whether two samples are identical or different variants, and (3)verify integrity over time-for example, ensuring the sample did not change during copying, extraction, sandbox handling, or during an analysis workflow that might inadvertently modify the file (e.g., patching, unpacking outputs, or tool-side normalization). Re-hashing at different stages provides a defensible way to demonstrate that the analyzed artifact is the same as the acquired artifact, supporting evidentiary integrity and chain-of-custody principles commonly emphasized in digital forensics documentation.
The other techniques do not primarily serve this purpose.Strings searchextracts readable text fragments but does not produce a unique integrity identifier.Local and online malware scanninguses signatures/reputation and may identify families, but it is not an integrity verification mechanism for the exact file bytes.Malware disassemblyhelps understand logic and instructions, not compute an identity hash. Therefore, the correct answer isFile fingerprinting (A).
NEW QUESTION # 28
Which of the following tools helps forensic experts analyze user activity in the Microsoft Edge browser?
Answer: C
Explanation:
In Windows forensics, analyzingMicrosoft Edgeuser activity commonly involves extracting and correlating browser artifacts such asvisited URLs, visit counts, timestamps, download references, and cached content indicators. A practical forensic approach is to use a tool that canparse and normalize history artifacts across multiple browsers, because investigations often require comparing activity between Edge and other installed browsers on the same workstation.BrowsingHistoryViewis designed specifically for that purpose: it aggregates browsing history from different browsers and presents it in a unified timeline-style view, which supports rapid triage and cross-validation of user activity.
By contrast,MZHistoryViewandMZCacheVieware associated withMozilla-family artifacts(history and cache), making them appropriate for Firefox-related examinations rather than Edge.ChromeHistoryViewis specialized forGoogle Chromehistory databases and does not target Edge artifacts as its primary source. In forensic workflow terms, a multi-browser history tool is valuable because it helps identify patterns such as repeated access to specific domains, time windows of browsing activity, and correlation with other Windows artifacts (prefetch, jump lists,
NEW QUESTION # 29
Below are the elements included in the order of volatility for a typical computing system as per the RFC 3227 guidelines for evidence collection and archiving.
Archival media
Remote logging and monitoring data related to the target system
Routing table, process table, kernel statistics, and memory
Registers and processor cache
Physical configuration and network topology
Disk or other storage media
Temporary system files
Identify the correct sequence of order of volatility from the most to least volatile for a typical system.
Answer: D
Explanation:
RFC 3227's "order of volatility" principle guides responders to collect themost perishableevidence first because some data can disappear immediately when power is lost, processes terminate, or the system state changes during response actions. The most volatile items areCPU registers and processor cache (4)because they change continuously at instruction speed and are lost instantly on shutdown or context switching. Next arerouting table, process table, kernel statistics, and memory (3)because live RAM contents and active system tables can change within seconds and are lost if the machine is powered off or rebooted.
After volatile memory,temporary system files (7)are collected because they are frequently overwritten or cleaned by the OS, users, or malware. Then comesdisk or other storage media (6)which is more persistent but still subject to modification, log rotation, and overwriting through normal activity; hence imaging should occur before extensive interaction.
Less volatile still areremote logging and monitoring data (2)since they may persist off-host, but can be rotated or altered by retention policies.Physical configuration and network topology (5)generally changes less frequently and can often be re-documented later. Finally,archival media (1)is the least volatile because it is typically write-once or preserved storage. Thus the correct sequence is4#3#7#6#2#5#1 (Option B).
NEW QUESTION # 30
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