Pass the ECCouncil CHFI 312-49v11 Questions and answers with Dumpstech

This question directly maps to CHFI v11 objectives underData Acquisition and Duplication, specifically live data acquisition and theorder of volatility. Live forensics is critical when systems cannot be powered down without losing crucial evidence, particularly during active or recent network intrusions. CHFI v11 emphasizes that investigators must prioritize volatile data that can quickly disappear when a system is shut down or network conditions change.

Open network connections, active sessions, routing tables, ARP cache, and listening ports provide immediate insight into how an attacker accessed the system, whether lateral movement occurred, and which external or internal IP addresses were involved. Capturing this data helps investigators trace the intrusion’s origin, identify command-and-control communications, and uncover misconfigurations or exposed services that enabled the breach.

Printer configurations and mouse activity have little forensic value in network intrusion analysis, while system uptime and loaded DLLs are useful but secondary compared to real-time network artifacts. CHFI v11 clearly prioritizes network-related volatile data during live acquisition to support intrusion analysis, vulnerability identification, and incident reconstruction. Therefore, capturing open connections and routing information is the most critical and correct choice in this scenario.

According to theCHFI v11 Network and Web Attacksdomain, adirectory traversal attack(also known as path traversal) is a web-based attack in which an attacker manipulates input parameters (such as ../ sequences) to access files and directoriesoutside the intended web root. This can expose sensitive resources such as configuration files, credentials, source code, system files, and application logs.

Theprimary forensic objectivewhen investigating a directory traversal attack is todetermine the scope and impact of unauthorized access. CHFI v11 emphasizes that investigators must analyzeweb server logs, application logs, and access recordsto identify:

Which files or directories were accessed

Whether sensitive or confidential data was exposed

The time frame of the attack

The attacker’s source IP and request patterns

Whether data was viewed, downloaded, or potentially modified

Understanding theextent of data compromiseis critical for incident response, regulatory notification, damage assessment, and legal proceedings. It also helps determine whether further attacks (such as privilege escalation or lateral movement) may have occurred following the traversal exploit.

The other options are not aligned with forensic goals. Hardware configuration analysis and bandwidth optimization are operational tasks, not forensic objectives. Enhancing user experience is unrelated to incident investigation.

CHFI v11 clearly states that the focus of web attack forensics isimpact assessment and evidence reconstruction, makingdetermining unauthorized access and data compromisethe correct objective.

Therefore, the correct and CHFI v11–verified answer isOption C.

As defined in theCHFI v11 Procedures and Methodologydomain,directed collectionis an eDiscovery methodology in which investigators deliberately limit evidence collection tospecific data sets, file types, directories, custodians, or system areasthat are known or highly likely to contain relevant information. This approach is commonly used to reduce data volume, minimize business disruption, and lower legal and operational costs while maintaining forensic relevance.

In the given scenario, the investigator intentionally restricts the scope of ESI by targetingspecific directories and file types, rather than collecting full disk images or all user data. CHFI v11 explicitly describes this asdirected (or targeted) collection, which is aligned with theElectronic Discovery Reference Model (EDRM)best practices. Directed collection helps investigators remain compliant with legal proportionality requirements and reduces exposure to irrelevant or private third-party data.

The other options do not match the scenario.Custodian self-collectionintroduces risk and is generally discouraged due to evidence integrity concerns.Incremental collectionfocuses on changes since a prior collection, not selective scope reduction.Remote acquisitionrefers to the method of access, not the collection strategy itself.

CHFI v11 emphasizes directed collection as a preferred methodology when investigators already understandwhere relevant evidence residesand need to collect it efficiently and defensibly. Therefore, the correct and CHFI v11–verified answer isdirected collection of definite data sets and system areas, makingOption Dcorrect.

According to theCHFI v11 Operating System Forensicsobjectives, Linux system logs are a critical source of evidence for identifyingunauthorized access, brute-force attempts, and SSH key–based authentication activities. On modern Linux systems that usesystemd, SSH-related events are logged and managed by thesystem journal, which can be queried using the journalctl utility.

The commandjournalctl -u sshretrievesall log entries associated with the SSH service unit, making it the most appropriate command when an investigator needs acomplete and unfiltered viewof SSH activity. SSH key fingerprints are typically logged duringpublic key authentication events, including successful and failed login attempts, and may appear alongside details such as usernames, source IP addresses, and authentication methods.

While options A and C restrict log output to specific time ranges and option B follows logs in real time, the question specifically asks which command should be executed toview the SSH key fingerprint in the SSH unit logs. CHFI v11 best practices recommend starting with thebase unit log queryto ensure no relevant artifacts are missed before applying filters.

Therefore, to reliably extract SSH key fingerprints and correlate authentication activity during forensic analysis, Hazel should executejournalctl -u ssh, makingOption Dthe correct and CHFI v11–verified answer.

As per theCHFI v11 Cloud Forensics objectives, cloud-based identity and access management solutions that provideSingle Sign-On (SSO),Multi-Factor Authentication (MFA), centralized authentication, and fine-grained authorization controls—managed entirely by athird-party provider—are classified asIdentity-as-a-Service (IDaaS).

IDaaS is a specialized cloud service model designed specifically foridentity management, including authentication, authorization, user provisioning, role-based access control, and centralized logging of authentication events. In forensic investigations, IDaaS platforms are critical evidence sources because they generatedetailed authentication logs, login timestamps, MFA challenges, IP addresses, device identifiers, and anomaly alerts. These logs allow investigators to correlate user identities with access patterns and trace unauthorized or malicious actions across multiple systems.

The CHFI v11 blueprint explicitly differentiates IDaaS from other cloud service models.IaaSfocuses on infrastructure resources such as virtual machines and networks, not identity enforcement.PaaSis used for developing and deploying custom applications, which is not indicated here since the authentication is handled by a third party.DaaSdelivers virtual desktops and does not inherently manage enterprise-wide authentication and authorization.

Therefore, based on the presence of third-party-managed SSO, MFA, centralized access control, and authentication log analysis, the correct answer—fully aligned with CHFI v11 documentation—isIdentity-as-a-Service (IDaaS).

According to theCHFI v11 Procedures and Methodologydomain, theIncident Response Process Flowfollows a structured sequence to ensure incidents are handled efficiently, lawfully, and with minimal impact. Once an incident is detected andstakeholders such as management, third-party vendors, and affected clients are informed, thenext immediate priority is containment.

Containmentfocuses onlimiting the scope and impact of the incidentto prevent further damage, data loss, or lateral movement by the attacker. This may include isolating affected systems, blocking malicious IP addresses, disabling compromised accounts, segmenting networks, or applying temporary firewall rules. CHFI v11 emphasizes that containment must be executed swiftly to preserve evidence while stopping the ongoing threat.

The other options represent different phases of the incident response lifecycle.Incident triageandincident recording and assignmentoccur earlier, during detection and initial response.Eradicationis a later phase that involves removing malware, closing vulnerabilities, and eliminating attacker persistence—but only after the threat has been successfully contained.

CHFI v11 explicitly states that failing to prioritize containment after notification can allow attackers to continue exploiting systems, leading to greater organizational and legal consequences. Therefore, the correct and CHFI v11–verified immediate priority isContainment, makingOption Athe correct answer.

According to theCHFI v11 Mobile and IoT Forensicsdomain,rooting an Android deviceis the most common and direct method used to obtainelevated (superuser) privilegesand unrestricted access to system resources. Rooting allows a user to bypass Android’s built-in security restrictions and gain full control over the operating system, including access to protected directories, system binaries, kernel parameters, and hardware interfaces.

CHFI v11 explains that once an Android device is rooted, the user can modify system files, install unauthorized applications, disable security controls, manipulate logs, and conceal malicious activity—making rooting a frequent technique in cybercrime and anti-forensics scenarios. From a forensic perspective, rooting significantly impacts evidence integrity and is often identified through artifacts such as the presence of su binaries, modified boot images, or root management applications.

Whileinstalling a custom ROMdoes modify the operating system, it does not inherently guarantee unrestricted system access unless the device is rooted.Jailbreakingapplies specifically to iOS devices, not Android. Exploiting an iOS firmware vulnerability may lead to jailbreaking, but the scenario does not indicate an iOS environment.

CHFI v11 emphasizes that identifying whether a device has beenrootedis critical during mobile investigations, as it affectsdata acquisition methods, trustworthiness of artifacts, and anti-forensic risk assessment.

Therefore, the most likely method used to achieve elevated privileges and unrestricted system access in this scenario isrooting the Android device, makingOption Cthe correct answer.

According to theCHFI v11 Network Forensics and Log Analysis objectives, monitoring authentication failures is a critical technique for detectingbrute-force and password cracking attacksagainst network services such as FTP. FTP servers communicate authentication outcomes using standardizedFTP response codes, which can be filtered and analyzed using tools likeWireshark.

The FTP response code530explicitly indicates“Not logged in”, which commonly occurs when a user providesinvalid credentials(incorrect username or password). During brute-force or password spraying attacks, repeated failed login attempts generate multiple530 response codes, making this filter highly effective for identifying malicious authentication activity.

In contrast,ftp.response.code == 230indicates asuccessful login, which is not relevant when tracking failed attempts. The532response code means that an account is required for login, not necessarily a password failure. The521response code indicates that the FTP service is unavailable, which reflects server-side issues rather than authentication failures.

CHFI v11 specifically emphasizes correlatingnetwork traffic patterns and protocol response codesto identify unauthorized access attempts and credential-based attacks. Filtering forftp.response.code == 530allows investigators to isolate failed authentication attempts accurately and build evidence of potential password cracking activity.

Therefore, the correct and CHFI-verified answer isftp.response.code == 530 (Option C).

This scenario aligns with CHFI v11 objectives underStandards and Best Practices Related to Computer Forensics, specifically theENFSI Best Practices for the Forensic Examination of Digital Technology. According to ENFSI guidelines, once evidence has been seized and secured, a structuredlaboratory assessmentmust be conducted before and during analysis. This phase focuses on evaluating exhibits, determining examination priorities, and maintaining detailed documentation of all items—whether analyzed immediately or deferred.

Maintaining records of both analyzed and non-analyzed exhibits is a key ENFSI requirement, as it ensures transparency, traceability, and accountability throughout the forensic process. CHFI v11 emphasizes that proper documentation allows investigators to track investigative progress, justify examination decisions, and demonstrate that no evidence was overlooked or mishandled. This practice also supports effective case management and preserves the integrity and admissibility of evidence in legal proceedings.

The other options describe different forensic phases: case evaluation occurs earlier at a strategic level, scene assessment applies to on-site evidence handling, and data acquisition refers specifically to extraction activities. In contrast, documenting and prioritizing exhibits in a controlled environment is a core function of thelaboratory assessment, making option C the correct ENFSI-aligned answer.

According to theCHFI v11 Operating System ForensicsandDigital Evidence Analysisobjectives,The Sleuth Kit (TSK)is a core open-source forensic framework used to analyzedisk images and file systems, including NTFS, FAT, EXT, and others. TSK is designed as amodular toolkit, offering bothcommand-line utilities(such as fsstat, fls, and istat) and aplug-in frameworkthat enables structured, extensible analysis.

Thefsstattool is part of this framework and is used to extractfile system metadata, including cluster size, inode structure, allocation status, and volume layout—key artifacts required for timeline reconstruction and anomaly detection. CHFI v11 emphasizes that investigators typically analyze disk images usingTSK’s plug-in–based architecture, which allows multiple forensic modules to operate consistently on the same evidence source without altering it. This architecture is also what enables higher-level forensic platforms (such as Autopsy) to integrate TSK seamlessly.

The other options are incorrect. TSK does not performnetwork scans, nor does it rely on unstructuredmanual inspection. While TSK provides APIs for developers,writing custom codeis not required for standard disk image analysis and is not the primary method emphasized in CHFI v11.

Therefore, in alignment with CHFI v11, an investigator analyzes disk images using TSKthrough its plug-in framework, makingOption Cthe correct answer.