SPLK-5001 Exam Dumps - Splunk Certified Cybersecurity Defense Analyst

Splunk SOAR (Security Orchestration, Automation, and Response) Playbooks are designed to automate repetitive and orchestratedresponse actions, such as containment or remediation on compromised systems. The use case oftaking containment action on a compromised hostfits perfectly, as playbooks execute sequences like isolating the host, killing processes, or blocking network communications automatically or with analyst approval.

Forming hypothesis for threat huntingis a manual, analytical process not suitable for automation via playbooks.

Creating persistent field extractionsis a data parsing task performed in Splunk searches or configurations, unrelated to SOAR playbooks.

Visualizing complex datasetsis a reporting and analytics task done with dashboards or apps, not SOAR workflows.

TheSplunk SOAR documentationexplicitly defines playbooks as automation workflows to accelerate incident response and reduce analyst workload on containment and investigation.

In Splunk,default metadatarefers to automatically assigned attributes associated with each event at indexing time that help identify and organize data. These include:

Source: The origin of the data (file, network port, etc.)

Timestamps: The time the event occurred, extracted from the event or assigned at ingestion

Host name: The name of the host generating the event

Event descriptionis not a default metadata field in Splunk. It is typically user-defined or derived from the event content and is not assigned automatically by Splunk.

TheSplunk documentationon event metadata clarifies these standard fields, which are crucial for search filtering and data organization.

TheInvestigation Managementframework in Splunk Enterprise Security (ES) is specifically designed to help analysts manage the lifecycle of security incidents. This framework allows for the identification of incidents from aggregated notable events, and provides tools to manage incident ownership, track the triage process, and monitor the state or status of ongoing investigations.

Investigation Managementoffers workflows to assign incidents, add comments, document findings, and close investigations, ensuring a structured response process.

TheNotable Eventframework refers to the generation of alerts based on correlation searches but does not provide incident lifecycle management.

Asset and Identityenrich data with contextual information but is not focused on incident management.

Adaptive Responserefers to automated actions but not the management framework itself.

Splunk’sEnterprise Security User Guidedetails Investigation Management as the central tool for orchestrating SOC response workflows and ensuring effective case management.

Splunk Enterprise Security provides a feature calledFramework Mappingthat allows correlation searches to be mapped to specific cybersecurity frameworks, including NIST 800-171, which is crucial for DoD contractors. This mapping provides context to the analyst by showing how particular searches align with compliance requirements, aiding in continuous monitoring and reassessment as mandated by the DoD. This feature is integral for organizations that need to demonstrate compliance with NIST guidelines and other security frameworks.

The examples provided correspond to Tactics, Techniques, and Procedures (TTPs) in the following order:

Lateral movement– This is aTactic. Tactics represent the goals or objectives of an adversary, such as moving laterally within a network to gain broader access.

Exploiting a remote service– This is aTechnique. Techniques are specific methods used to achieve a tactic, such as exploiting a service to move laterally.

Use EternalBlue to exploit a remote SMB server– This is aProcedure. Procedures are the detailed steps or specific implementations of a technique, such as using the EternalBlue exploit to target SMB vulnerabilities.

Thus, the correct order isTactic, Technique, Procedure.

TheData Inventoryfeature in Splunk Security Essentials provides analysts with a comprehensive listing of all currently onboarded data sources within the Splunk environment. This enables users to quickly identify what data is available for security use cases, allowing targeted viewing and analysis based on the indexed datasets.

Data Inventoryconsolidates metadata about indexes, sourcetypes, and data volume, helping analysts understand their security coverage.

Security Data Journeyis a guided workflow for progressing through security content and maturity but does not specifically list data sources.

Security Contentrefers to detection content like correlation searches, dashboards, and reports.

Data Source Onboarding Guideshelp users onboard new data sources but do not reflect the current onboarded data inventory.

TheSplunk Security Essentials documentationhighlights Data Inventory as a key tool for bridging visibility gaps and accelerating content deployment aligned with available data.

This scenario is an example of aFalse Negativebecause the detection mechanisms failed to generate alerts for a brute-force attack due to a misconfiguration—specifically, the exclusion of Linux data from the detection searches. A False Negative occurs when a security control fails to detect an actual malicious activity that it is supposed to catch, leading to undetected attacks and potential breaches.

Indicators of Compromise (IOCs) are artifacts that are used to identify potential malicious activity within a network or system. Common IOCs include domains, IP addresses, and file hashes that are associated with malicious activity. However, a specific password, while potentially sensitive, is not typically considered an IOC because it is more of a credential than an artifact indicating a compromise. IOCs are used to detect and respond to threats, while compromised credentials are a result of those threats.