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| Section | Weight | Objectives |
|---|---|---|
| Module 3: Understanding Hard Disks and File Systems | 15% | - File Systems (FAT, NTFS, ext2/3/4) - Hard Disk Drive Basics - Disk Partitions and Boot Process - File System Analysis |
| Module 5: Defeating Anti-Forensic Techniques | 10% | - Steganography Detection - Artifact Wiping and Countermeasures - Anti-Forensics Overview - Data Deletion and Encryption |
| Module 2: Computer Forensics Investigation Process | 10% | - Investigation Phase - Post-Investigation Process - Pre-Investigation Phase - Investigation Process Overview |
| Module 10: Cloud Forensics | 5% | - Cloud Forensics Challenges - Cloud Computing Fundamentals - Cloud Evidence Collection |
| Module 7: Network Forensics | 10% | - Log Analysis - Network Traffic Analysis - Incident Detection and Response - Network Forensics Fundamentals |
| Module 11: Malware Forensics | 5% | - Malware Detection and Removal - Malware Analysis Fundamentals - Static and Dynamic Analysis |
| Module 6: Operating System Forensics | 15% | - Windows Forensics - System Artifacts Analysis - Mac OS Forensics - Linux Forensics |
| Module 8: Investigating Web-Based Attacks | 5% | - Web Application Forensics - Tracking Web Attacks - Browser Forensics |
| Module 1: Computer Forensics in Today's World | 5% | - Fundamentals of Computer Forensics - Cybercrimes and Legalities - Forensic Readiness and Professional Conduct |
| Module 4: Data Acquisition and Duplication | 15% | - Data Acquisition Fundamentals - Acquisition Methods and Tools - Acquisition Best Practices - Validation and Verification |
| Module 9: Database Forensics | 5% | - Log Analysis and Recovery - Database Fundamentals - Database Forensics Process |
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NEW QUESTION # 13
Alice and John are close college friends. Alice frequently sends emails to John attaching her pics with friends.
One day, Alice sent an email to John describing all the details related to the final year project without specifying the actual purpose. John missed the message as he frequently receives emails from her and did not arrive for a project seminar.
Which of the following email fields could Alice have used in the above scenario to highlight the importance of the email?
Answer: A
Explanation:
TheSubjectfield is the primary email header element used to communicate thepurpose and urgencyof a message at a glance. Digital forensics training emphasizes that email messages consist ofheaders(routing and descriptive metadata) and abody(content). Among user-visible header fields, the Subject line is specifically intended to summarize what the email is about, helping recipients prioritize and correctly interpret the message without opening it. In the scenario, John routinely receives casual emails from Alice (often with pictures). When Alice sent a project-related email "without specifying the actual purpose," John treated it like routine mail and overlooked its significance. A clear, descriptive subject such as "Final Year Project Seminar
- Attendance Required" would have flagged the message as time-sensitive and different from her usual emails, reducing the chance it would be missed.
The other options do not serve this purpose.Dateis automatically assigned and mainly supports ordering and timeline reconstruction rather than highlighting importance.CcandBcccontrol who receives copies and can affect visibility or secrecy, but they do not summarize intent for the recipient. Therefore, the field best suited to highlight importance isSubject (A).
NEW QUESTION # 14
Philip, a forensic officer, was tasked with investigating a crime scene. In this process, he created bit-by-bit copies of the suspect drive and retrieved all the disk images using the dd command.
Which of the following data acquisition image formats is extracted by Philip in the above scenario?
Answer: C
Explanation:
The UNIX/Linuxddutility performs abit-by-bit (sector-by-sector) copyfrom an input device (such as a physical disk) to an output target (another device or a flat file). In digital forensics guidance, this type of output is known as araw (bitstream) imagebecause it captures the exact sequence of bytes from the source media without embedding structured case metadata, compression, or container features by default. The resulting file is often referred to as a "dd image" and may use extensions like.ddor.img, but the key point is theformat is raw: it represents a straightforward byte-for-byte representation of the original storage, including allocated data, unallocated space, slack space, and file system structures.
By contrast,AFFandAFF4are forensic container formats designed to store evidence data along with metadata (and often support features such as chunking, compression, and richer integrity structures). "Proprietary format" refers to vendor-specific containers (for example, formats created by certain commercial forensic tools) rather than the generic output produced by dd. Since Philip specifically usedddto create bit-by-bit disk images, the extracted acquisition image format isRaw Format (A).
NEW QUESTION # 15
Steve, a professional hacker, attempted to hack Alice's banking account. To accomplish his goal, Steve used an automated tool to guess Alice's login credentials. The tool uses a trial-and-error method by attempting all possible combinations of usernames and passwords to determine the valid credentials.
Identify the type of attack initiated by Steve in the above scenario.
Answer: A
Explanation:
The scenario describes an automated, trial-and-error attempt that triesall possible combinations of usernames and passwordsuntil a correct credential pair is found. This is the defining characteristic of abrute-force attack.
In digital forensics terminology, brute force is a direct password-guessing method that relies on exhaustive attempts (or systematically generated candidates) rather than tricking the user or exploiting a software flaw.
Investigators commonly recognize brute-force activity through artifacts such as repeated authentication failures in security logs, high-frequency login attempts from a single IP or distributed sources, account lockout events, and abnormal spikes in authentication traffic. In banking and web environments, it may also appear as repeated POST requests to login endpoints with varying credential pairs and consistent user-agent patterns, sometimes accompanied by throttling or CAPTCHA triggers.
The other options do not match the described "attempting all possible combinations" behavior.
Phishingobtains credentials by deception (fake emails/sites). ATrojan horsesteals data by running malicious code on the victim's system.Data manipulationfocuses on altering data integrity rather than credential guessing. Therefore, the correct attack type isBrute-force attack (A).
NEW QUESTION # 16
In which of the following malware distribution techniques does the attacker use tactics such as keyword stuffing, doorway pages, page swapping, and adding unrelated keywords to improve the search-engine ranking of their malware pages?
Answer: A
Explanation:
The technique described-keyword stuffing, doorway pages, page swapping, and inserting unrelated high- traffic keywords-matchesblack-hat search-engine optimization (SEO), often calledSEO poisoningin digital forensics and threat intelligence materials. In this distribution method, attackers manipulate search engine ranking algorithms so that malicious or malware-hosting pages appear near the top of search results for popular queries (breaking news, software downloads, trending events, adult content, etc.). Doorway pages are created to rank well for specific terms and then funnel victims to malicious landing pages. Page swapping (or
"bait-and-switch") occurs when a page is optimized and indexed as benign content, but later replaced or dynamically served as malicious content once it has gained ranking and trust signals. Keyword stuffing and unrelated keyword injection further exploit ranking heuristics by artificially increasing perceived relevance.
From a forensic perspective, black-hat SEO campaigns often leave artifacts such as compromised websites with injected spam links, abnormal redirect chains, cloaking behavior (different content for crawlers vs.
users), and malicious scripts or exploit kit references. The other options do not primarily rely on search ranking manipulation: drive-by downloads are about silent exploitation on visit, spearphishing relies on targeted messaging, and clickjacking tricks users into unintended clicks. Hence,Black-hat search-engine optimization (C)is correct.
NEW QUESTION # 17
Benoy, a security professional at an organization, extracted Apache access log entries to view critical information about all the operations performed on a web server. The Apache access log extracted by Benoy is given below:
"10.10.10.10 - Jason [17/Aug/2019:00:12:34 +0300] "GET /images/content/bg_body_1.jpg HTTP/1.0" 500
1458"
Identify the HTTP status code in the Apache access log entry above that indicates the response was successful.
Answer: A
Explanation:
In the Apache Combined/Custom access log format, the value immediately after the quoted request (here," GET ... HTTP/1.0") is theHTTP status codereturned by the server. In the provided entry, that field is500.
From a forensic analysis standpoint, recognizing field positions matters because investigators correlate client IPs, timestamps, requested resources, and server outcomes to reconstruct attack timelines and identify failed exploitation attempts or misconfigurations.
It is important to note thatsuccessful HTTP responses are typically in the 2xx range, most commonly200 (OK), while3xxindicates redirects,4xxindicates client-side errors (such as 404 Not Found), and5xxindicates server-side failures. Specifically,500represents anInternal Server Error, meaning the server encountered an unexpected condition and could not fulfill the request successfully.
The other options are not HTTP status codes in this entry:+0300is the timezone offset in the timestamp,1.0is the HTTP protocol version, and2019is part of the date. Therefore, the only HTTP status code present-and the correct choice among the options-is500 (B), even though it reflects an error rather than success.
NEW QUESTION # 18
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