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| Section | Objectives |
|---|---|
| Topic 1: Digital Evidence Handling and Legal Aspects | - Chain of custody and evidence integrity - Legal and ethical considerations in forensics |
| Topic 2: Windows and Disk Forensics | - Disk imaging and analysis techniques - Windows artifacts and registry analysis |
| Topic 3: Network Forensics | - Packet capture and log analysis - Network traffic analysis |
| Topic 4: Introduction to Digital Forensics | - Fundamentals of digital forensics and investigation process - Types of digital evidence and forensic readiness |
| Topic 5: Malware and Incident Investigation | - Malware identification and analysis basics - Incident response procedures and reporting |
| Topic 6: Computer Forensics Fundamentals | - Evidence acquisition and preservation techniques - File systems and data storage concepts |
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NEW QUESTION # 71
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: B
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 # 72
Bob, a security specialist at an organization, extracted the following IIS log from a Windows-based server:
"2019-12-12
06:11:41 192.168.0.10 GET /images/content/bg_body1.jpg - 80 - 192.168.0.27 Mozilla/5.0+(Windows+NT+6.
3;+WOW64)+AppleWebKit/537.36+(KHTML,+like+Gecko)+Chrome/48.0.2564.103+Safari/537.36
http://www.moviescope.com/css/style.css 200 0 0 365"
Identify the element in the above IIS log entry that indicates the request was fulfilled without error.
Answer: B
Explanation:
In Microsoft IIS (W3C Extended) logging, each request line records multiple standardized fields that help investigators reconstruct what was accessed, by whom, and with what outcome. Among these fields, the most direct indicator of whether the server successfully handled the request is theHTTP status codecaptured in thesc-statusfield. A status code of200means"OK", indicating the server located the requested resource (here,
/images/content/bg_body1.jpg) and returned it successfully to the client without application-level failure.
Other numbers in the entry represent different attributes:80is the server port used for the HTTP request,
192values appear as part of IP addressing (client/server addresses), and537is embedded in the user-agent string (AppleWebKit build number), not a success indicator. IIS often logs additional substatus and Win32 status values (e.g.,sc-substatusandsc-win32-status) to refine the outcome; in the shown line, those follow the
200 as "200 0 0 ...", reinforcing that no substatus error or OS-level error occurred. Therefore,200is the element confirming the request was fulfilled without error.
NEW QUESTION # 73
Which of the following files belonging to the Extensible Storage Engine (ESE) stores the mail data in Microsoft Exchange Server?
Answer: B
Explanation:
Microsoft Exchange Server stores mailbox contents (emails, attachments, folders, and related messaging objects) inside anESE (Extensible Storage Engine) databasethat uses the.edbfile format. In Exchange terminology this is theMailbox Database, and its primary persistent store is thedatabase .edb filealong with associated transaction logs that support write-ahead logging and recovery. From a forensic perspective, the.
edbfile is the central artifact because it contains the structured mailbox data that investigators analyze for message content, metadata (timestamps, sender/recipient fields, message IDs), and folder structure.
Among the options,Database.edbbest matches the Exchange ESE mailbox database file that stores mail data.
The other options are either generic or associated with different Microsoft messaging components:Mail.
MSMessageStorerelates to the Windows Mail/Modern Mail app storage model rather than Exchange Server's mailbox database, andWLCalendarStore.edbis commonly tied to Windows Live/Windows Essentials calendar or communications storage, not Exchange's server-side mailbox store.DataStore.edbis also used by other Windows services, but the recognized Exchange mailbox store is the.edb database file, makingDatabase.edb (D)the correct answer.
NEW QUESTION # 74
Sandra, a hacker, targeted Johana, a software professional, to steal her banking details. She started sending frequent, random pop-up messages with malicious links to her social media page. Johana accidentally clicked on a link, causing a malicious program to get installed in her system. Subsequently, when Johana attempted to access her banking website, the URL redirected her to a malicious website controlled by Sandra. Johana entered her banking credentials on the fake website, which Sandra then captured.
Identify the type of attack performed by Sandra on Johana.
Answer: C
Explanation:
The scenario describes a victim beingredirected from a legitimate banking URL to a fraudulent websitewithout intending to visit it, after malware is installed on the system. This behavior is characteristic ofpharming, an attack in which an adversarycauses redirectionto a malicious destination even when the user types the correct address or clicks a legitimate bookmark. In digital forensics references, pharming is commonly achieved by manipulatingname resolution or routing mechanisms, such as altering the localhosts file, changingDNS server settings, poisoning DNS responses, modifying browser proxy settings, or installing malware that intercepts and rewrites web requests. The key forensic indicator is that the victim's request for the real domain is transparently diverted to attacker-controlled infrastructure, where credentials are harvested through a convincing spoofed login page.
The other options do not match the redirection-and-fake-site mechanism.Tailgatingis physical access abuse (following someone into a secure area).Dumpster divinginvolves retrieving sensitive information from discarded materials.Shoulder surfingis observing credentials by watching the victim type. Because the essential action here ismalicious redirection to a fake site to steal credentials, the correct answer isPharming (A).
NEW QUESTION # 75
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 # 76
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