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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Computer Forensics Fundamentals | 15% | - Concepts and principles of digital forensics - Roles and responsibilities of forensic investigators - Types of digital evidence - Forensic readiness planning - Legal and ethical frameworks |
| Topic 2: Network and Web Forensics | 10% | - Network logs and traffic analysis - Email and messaging forensics - Investigating web attacks - Web server and application logs |
| Topic 3: Malware and Incident Response Forensics | 10% | - Static and dynamic malware analysis - Forensics in incident response - Reporting and documentation - Malware artifacts and indicators |
| Topic 4: Computer Forensics Investigation Process | 15% | - Chain of custody and evidence handling - Investigation phase - Post-investigation and reporting - Pre-investigation phase |
| Topic 5: File Systems and Storage Media Analysis | 15% | - FAT, NTFS, EXT file systems - Recovering deleted and hidden data - Disk structures and partitions - Metadata analysis |
| Topic 6: Digital Evidence Acquisition and Preservation | 15% | - Storage and transport of evidence - Data acquisition methods and tools - Forensic imaging and verification - Evidence integrity and hashing |
| Topic 7: Dark Web and Anti-Forensics | 10% | - Dark web concepts and tools - Detecting and countering anti-forensics - Anti-forensics techniques - Tor browser and artifact analysis |
| Topic 8: Operating System Forensics | 10% | - Windows forensics - Mac OS forensics - System artifacts and logs - Linux forensics |
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NEW QUESTION # 46
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 # 47
In which of the following attacks does an attacker trick high-profile executives such as CEOs, CFOs, politicians, and celebrities to reveal critical corporate and personal information through email or website spoofing?
Answer: B
Explanation:
The scenario describes a targeted social-engineering attack aimed specifically athigh-profile individuals (CEOs, CFOs, politicians, celebrities) and usesemail or website spoofingto deceive them into disclosing sensitive information. In digital forensics and incident response documentation, this is most accurately categorized aswhaling, a specialized form of phishing that focuses on "big targets" (often called "high-value targets" or "VIPs"). Whaling campaigns typically use highly tailored pretexts (e.g., legal subpoenas, board communications, invoice/payment requests, HR or executive directives) and may include spoofed sender domains, look-alike websites, or fraudulent login pages to harvest credentials and confidential corporate data.
Because executives often have access to financial systems, strategic documents, and privileged communications, attackers concentrate effort on realism and personalization, making whaling distinct from broad, generic phishing.
By contrast,smishingis phishing conducted via SMS/text messages,spimmingis spam over instant messaging platforms, andidentity fraudis a broader category involving impersonation/misuse of personal data but does not specifically denote the executive-targeted spoofing technique described. Therefore, the attack type in the question isWhaling (A).
NEW QUESTION # 48
James, a forensic specialist, was appointed to investigate an incident in an organization. As part of the investigation, James is attempting to identify whether any external storage devices are connected to the internal systems. For this purpose, he employed a utility to capture the list of all devices connected to the local machine and removed suspicious devices.
Identify the tool employed by James in the above scenario.
Answer: C
NEW QUESTION # 49
Williams, a forensic specialist, was tasked with performing a static malware analysis on a suspect system in an organization. For this purpose, Williams used an automated tool to perform a string search and saved all the identified strings in a text file. After analyzing the strings, he determined all the harmful actions that were performed by malware.
Identify the tool employed by Williams in the above scenario.
Answer: C
Explanation:
Instatic malware analysis, one of the quickest ways to infer capability is to extract and reviewstringsembedded in a binary. Strings frequently reveal command-and-control domains/IPs, mutex names, file paths, registry keys, user-agent values, suspicious commands (PowerShell/cmd), API names, error messages, encryption markers, and configuration fragments. Investigators often use automated utilities to extract these readable artifacts andexport them to a text filefor later triage, keyword searching, and correlation with other evidence (network logs, endpoint telemetry, and threat intel).
Among the provided options,ResourcesExtractbest matches this workflow. It is designed to extract embedded content from executable files-particularly Windows PE resources-and can export extracted textual items (including resource strings/strings tables and related embedded text) into external files for analysis. This aligns with "performed a string search and saved all the identified strings in a text file." The other choices do not fit:R-Drive Imageis a disk imaging/backup tool;Ezvidis for screen recording; andSnagitis for screenshots/screen capture. They do not perform automated extraction of strings from malware binaries as a static-analysis step. Therefore, the correct answer isResourcesExtract (B).
NEW QUESTION # 50
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: B
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 # 51
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