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NEW QUESTION # 43
Which of the following NTFS system files contains a record of every file present in the system?
Answer: C
Explanation:
In the NTFS file system, theMaster File Table (MFT)is the core metadata structure that tracksevery file and directoryon the volume. NTFS implements this as a special system file named$MFT(shown here as$mft).
Each file or folder on an NTFS partition is represented by at least oneMFT record entry, which stores essential metadata such as file name(s), timestamps, security identifiers/ACL references, file size, attributes, and pointers to the file's data runs (or, for very small files, the content can be stored resident inside the record). Because it is the authoritative "index" of file objects, forensic examiners rely heavily on $MFT to reconstruct user activity and file history, including evidence of deleted files (when records are marked unused but remnants of attributes may remain) and timeline building from timestamp attributes.
The other options are different NTFS metadata files with narrower purposes:$LogFilerecords NTFS transaction logs to support recovery,$Volumestores volume-level information (like version/label), and$Quotamanages disk quota tracking. None of these contain a record for every file on the system.
Therefore, the NTFS system file that contains a record of every file present is$mft (B).
NEW QUESTION # 44
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: B
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 # 45
Cooper, a forensic analyst, was examining a RAM dump extracted from a Linux system. In this process, he employed an automated tool, Volatility Framework, to identify any malicious code hidden inside the memory.
Which of the following plugins of the Volatility Framework helps Cooper detect hidden or injected files in the memory?
Answer: C
Explanation:
In memory forensics, "hidden or injected" malicious code typically refers toprocess injection,code caves, unbacked executable mappings, or regions of memory that aremarked executablebut do not align with normal, file-backed program segments. The Volatility Framework provides specialized plugins to locate these suspicious patterns.linux_malfindis the plugin designed to detectpotentially injected codeby scanning a process's memory mappings for characteristics that commonly indicate malicious presence-such asexecutable anonymous mappings, unusual permissions (e.g., RWX), and memory regions that contain shellcode-like byte patterns. This is highly relevant when malware attempts to avoid disk artifacts by living in memory or by injecting payloads into legitimate processes.
By contrast,linux_netstatis used to enumerate network connections and sockets from memory (useful for C2 analysis), but it does not focus on injected code regions.ip addr showandnmap -sU localhostare live-system networking commands, not Volatility plugins, and they are not suitable for analyzing a captured RAM image.
Therefore, to detect hidden/injected malicious code in a Linux RAM dump using Volatility, the correct plugin islinux_malfind (A).
NEW QUESTION # 46
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 # 47
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 # 48
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