112-57 Exam Dumps - ECCouncil DEF Questions and Answers

On Linux, a key step in a forensic triage or security audit is mappingopen/listening portsto theowning processso investigators can identify suspicious services (backdoors, unauthorized daemons, rogue remote-access tools) and correlate them with binaries, users, startup mechanisms, and timestamps. The commandnetstat -tulpnis designed for exactly this purpose. In this switch set:-tlimits output to TCP sockets,-uincludes UDP sockets,-lshows only listening sockets (open ports awaiting connections),-pdisplays the owningprocess name and PID, and-nprevents name resolution by showing numeric IP addresses and ports (faster and avoids altering evidence via DNS queries). This combination yields a concise list of active listening ports and the processes bound to them, which is highly valuable for detecting unexpected services and attributing network exposure to a specific executable.

The other options do not provide process-to-port attribution:netstat -ishows interface statistics,ip rshows the routing table, andnetstat -rndisplays the routing table in numeric form. Therefore, the correct command isnetstat -tulpn(D).

Forensic readiness planning focuses on ensuring an organization canlegally, efficiently, and reliablycollect usable digital evidence before an incident occurs. The planning sequence typically begins by definingwhat evidence would be neededto support likely incidents (3) and then mappingwhere that evidence residesacross systems, services, logs, endpoints, and network components (4). Once evidence needs and sources are known, readiness requires alegally compliant extraction pathwaythat minimizes business disruption and prevents evidence contamination (8). After defining extraction, an organization must formalizesecure handling and storage policies(chain of custody, access control, retention, integrity protection) so collected evidence remains admissible and trustworthy (7).

With those foundations in place, the organization can define decision criteria forwhen an event becomes a formal investigationand triggers deeper forensic procedures (6). A structureddocumentation processis then set so actions taken during acquisition and analysis are repeatable and defensible (2). Governance is reinforced by establishinglegal oversight/advisory supportto ensure compliance with jurisdictional requirements and internal policy (5). Finally, the plan is operationalized by ensuring anincident response team is preparedto preserve evidence promptly when incidents occur (1). Hence,3→4→8→7→6→2→5→1is the correct sequence.

On Windows systems, thePrefetchfeature records execution-related artifacts to speed up subsequent program launches. When an executable is run, Windows often creates a.pf prefetch fileinC:\Windows\Prefetchthat contains valuable forensic indicators such as the executable name (mapped into the prefetch filename), last run time(s) (depending on Windows version), run count (in many versions), and a list of files and directories referenced during startup. Because these artifacts can persist even after an application is lateruninstalled or deleted, investigators commonly use the Prefetch directory to demonstrate that a program executed on a host and to help build timelines around suspicious activity. This is especially useful in intrusion investigations for identifying the execution of attacker tools, droppers, scripts launched via interpreters, or renamed binaries.

The other options are not standard repositories for program execution history.C:\Windows\debugmay contain specific debug logs for certain components but is not the canonical execution-tracking folder.C:\Windows\BookandC:\subdirare not standard Windows forensic artifact locations. Therefore, the folder that stores information on applications run on the system isC:\Windows\Prefetch (C).

HKEY_CLASSES_ROOT (HKCR)is the Windows Registry location that storesfile-association and COM registration data, including mappings forfile extensions(e.g.,.docx) toProgIDs, and COM object identifiers such asCLSIDand interface-related identifiers likeIID. In forensic examinations, HKCR is frequently consulted to determine which application is registered to open a specific file type, to identify COM objects that may enable persistence or abuse (e.g., through COM hijacking), and to correlate suspicious registry-based execution mechanisms with installed software.

HKCR is often described asvolatile in naturebecause it is not a single standalone hive file stored independently in the same way as SAM or SYSTEM; instead, it is amerged, runtime viewcreated by the OS primarily fromHKLM\Software\Classes(machine-wide registrations) andHKCU\Software\Classes(per-user overrides). This means what you see under HKCR can vary depending on the current user context and system state, and the effective associations/registrations may change when software is installed, updated, or when per-user settings override machine defaults.

The other options represent different scopes: HKLM is system configuration, HKCU is user profile configuration, and HKCC reflects the current hardware profile—not the primary COM/file association repository.

The statement in the question matchesSWGDE Principle 1, Standards and Criteria 1.7, which explicitly requires thatany action that could alter, damage, or destroy original digital evidence must be performed by qualified personnel in a forensically sound manner. In digital forensics doctrine, this requirement exists because digital evidence is highly fragile: routine interactions (booting a system, opening a file, connecting storage, running commands) can change timestamps, overwrite unallocated space, modify logs, or trigger encryption/key rotation. SWGDE’s emphasis on “qualified persons” and “forensically sound manner” aligns with core evidentiary expectations: minimizing changes to original media, using controlled and repeatable methods (e.g., write-blocking, validated imaging, documented procedures), and ensuring actions are defensible under scrutiny.

Options 1.1, 1.3, and 1.5 relate to broader quality and procedural requirements (quality systems, SOP review, appropriate tools), but they do not contain the specific mandate about potentially altering original evidence. The exact phrasing about alteration/damage/destruction and qualified handling is associated withStandards and Criteria 1.7, makingBthe correct choice.

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.

The activity described—collectingnetwork topologydetails and compiling alist of live hosts—matches the reconnaissance phase commonly referred to asenumeration. In digital forensics and incident response documentation, enumeration is the systematic process of discovering and extracting information about a target environment to support later exploitation. It typically follows (or overlaps with) scanning and includes identifying active IP addresses, reachable systems, open ports/services, device roles, OS fingerprints, domain information, shared resources, user/group details, and routing or segmentation clues that reveal how the network is structured.

This information is then used to plan “further attacks,” such as targeting exposed services, choosing exploit paths, locating high-value systems, and selecting lateral movement routes. From a forensic standpoint, enumeration attempts often leave traces in firewall logs, IDS alerts, and endpoint artifacts (e.g., bursts of connection attempts across many hosts/ports, ICMP echo sweeps, ARP discovery on local segments, and repeated DNS queries).

The other options do not fit:data modificationinvolves altering data integrity;session hijackingtargets active sessions/tokens; andbuffer overflowis an exploitation technique against vulnerable software, not the information-gathering step described. Therefore, the correct answer isEnumeration (B)

Steganographyis the technique of concealing a messagewithin another seemingly harmless carrier(such as an image, audio file, video, or document) so that theexistence of the hidden message is not apparentto an observer. Digital forensics references distinguish steganography from encryption: encryption scrambles content but usually leaves visible indicators that protected data exists (ciphertext), while steganography aims to make the communication look ordinary, reducing suspicion. In practice, steganographic methods often embed data into redundant or less perceptible parts of the carrier, such as modifying least significant bits in pixel values, altering frequency components in audio, or inserting data into metadata or unused file structures.

The other options do not match the definition.Password crackingis an access technique to recover authentication secrets, not a concealment method.Artifact wipingis an anti-forensics method intended to remove traces (logs, files, slack space remnants), but it does not “hide behind” other data—it destroys or overwrites evidence.Program packerscompress/obfuscate executables to hinder static analysis and detection, but they still produce an executable whose presence is evident; they do not primarily hide messages inside benign files. Therefore, the described “hiding the existence of the message itself” corresponds toSteganography (C).

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.

The scenario describes the investigator collectingvolatileartifacts—specifically information inRAM, activeDLLs, system and network state, and transient data held incacheand similar runtime locations—through the device’s normal interface while the system is running. In digital forensics documentation, this is the defining characteristic oflive acquisition(also called live response). Live acquisition is performed when the system remains powered on so that investigators can capture evidence that would be lost on shutdown, such as running processes, open network connections, logged-on sessions, loaded modules/DLLs, encryption keys, and portions of registry data that exist in memory or are actively changing.

By contrast,static acquisitionanddead acquisitionare conducted when the system is powered off (or the evidence drive is imaged outside the running OS), focusing primarily on persistent storage such as disk sectors and file system structures.Non-volatile data acquisitionrefers to collecting persistent data stored on media (e.g., files on disk), which does not match the emphasis on RAM and other volatile components in the question. Because the investigator is explicitly collecting volatile data from a running system via its normal interface, the correct method isLive acquisition (B).