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| Section | Weight | Objectives |
|---|---|---|
| Operating System Forensics | 10% | - Mac OS forensics - Linux forensics - Windows forensics - System artifacts and logs |
| File Systems and Storage Media Analysis | 15% | - Metadata analysis - Recovering deleted and hidden data - Disk structures and partitions - FAT, NTFS, EXT file systems |
| Dark Web and Anti-Forensics | 10% | - Detecting and countering anti-forensics - Tor browser and artifact analysis - Anti-forensics techniques - Dark web concepts and tools |
| Computer Forensics Investigation Process | 15% | - Investigation phase - Pre-investigation phase - Chain of custody and evidence handling - Post-investigation and reporting |
| Malware and Incident Response Forensics | 10% | - Malware artifacts and indicators - Static and dynamic malware analysis - Reporting and documentation - Forensics in incident response |
| Digital Evidence Acquisition and Preservation | 15% | - Storage and transport of evidence - Data acquisition methods and tools - Evidence integrity and hashing - Forensic imaging and verification |
| Network and Web Forensics | 10% | - Web server and application logs - Investigating web attacks - Email and messaging forensics - Network logs and traffic analysis |
| Computer Forensics Fundamentals | 15% | - Concepts and principles of digital forensics - Roles and responsibilities of forensic investigators - Legal and ethical frameworks - Types of digital evidence - Forensic readiness planning |
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NEW QUESTION # 56
Kelvin, a forensic investigator at FinCorp Ltd., was investigating a cybercrime against the company. As part of the investigation process, he needs to recover corrupted and deleted files from a Windows system. Kelvin decided to use an automated tool to recover the damaged, corrupted, or deleted files.
Which of the following forensic tools can help Kelvin in recovering deleted files?
Answer: B
Explanation:
In Windows forensics, recovering deleted or corrupted files typically requires afile-system aware data recovery toolthat can interpret NTFS/FAT metadata and scan disk structures for lost file records and residual content.R-Studiois designed specifically for data recovery: it can locate and rebuild deleted files by analyzing file system metadata (such as NTFS MFT entries and directory records), recover data from formatted or damaged partitions, and perform raw "signature-based" scans to carve files when metadata is missing. This aligns directly with Kelvin's need for an automated method to restoredamaged, corrupted, or deletedfiles from a Windows system.
The other options do not match the stated recovery objective.OphcrackandCain & Abelare password recovery
/auditing tools used to obtain credentials (e.g., cracking hashes), not to restore deleted files.Rohos Mini Driveis primarily an encryption/secure storage utility for creating encrypted containers, which may protect data but does not function as a forensic recovery tool for deleted or corrupted files. Therefore, among the listed tools,R-Studio (C)is the correct choice for automated recovery of deleted files in a Windows forensic investigation.
NEW QUESTION # 57
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 # 58
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: C
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 # 59
Given below is a regex signature used by security professionals for detecting an XSS attack:
/((%3C)|<)[
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