Splunk Certified Cybersecurity Defense Analyst flashcards
Splunk Certified Cybersecurity Defense Analyst · Build recall with a focused review session.
32 cards. Read the term and the definition here. The deck at the top of this page is optional.
- SIEM
- Security Information and Event Management: a platform that centrally collects, normalizes, retains, and correlates log data from many sources to produce searchable records and alerts.
- SOC Tier 1 analyst
- The first-line monitoring role that validates incoming notables, dismisses clear false positives, and escalates confirmed or ambiguous alerts to Tier 2 for deeper investigation.
- Splunk default fields
- Fields populated at index time for every event: host, source, sourcetype, index, _time, _indextime, _raw, and linecount. They exist without any field extraction configuration.
- Common Information Model
- Splunk's normalized schema of data models, tags, event types, and aliases that maps vendor-specific field names to common names so one search covers many sourcetypes.
- Notable event
- The alert record written to the notable index when a Splunk ES correlation search fires; it carries rule name, severity, urgency, status, owner, and drill-down context.
- Correlation search
- A scheduled or real-time Splunk ES search that evaluates a detection logic condition against indexed data and, when conditions are met, generates a notable event.
- Sourcetype
- A default field identifying the format and origin of data, such as xmlwineventlog or linux_secure. It determines which props.conf and transforms.conf parsing rules Splunk applies.
- Mean time to detect
- MTTD: the average elapsed time between the earliest relevant event timestamp and the moment detection occurred, used to measure monitoring effectiveness across the SOC.
- Risk object
- The entity a risk event is attributed to, usually a user or a system. Its accumulated risk score is what gets compared against the risk threshold.
- Risk score
- A numeric point value attached to a detection's risk event. Scores from multiple detections on the same risk object are summed inside the scoring window.
- Risk index
- The Splunk ES index that stores individual risk events with risk_object, risk_object_type, risk_score, and rule attribution. It is queried to compute aggregate object risk.
- Risk notable
- An alert generated when a risk object's summed risk exceeds the threshold. It groups the contributing risk events so the analyst reviews one record instead of many alerts.
- Risk threshold
- The configured total risk score a risk object must exceed within the scoring window before Splunk ES creates a risk notable for that object.
- Threat object
- An indicator such as an IP, domain, file hash, or user carried in the threat_object field. Its accumulated score is compared against a separate threat object threshold.
- Risk factor
- A priority multiplier attached to an asset or identity that scales contributed risk, so detections on business-critical entities reach the alert threshold with fewer contributing events.
- Risk object type
- A field classifying the risk object as user, system, or other. It drives how Splunk ES aggregates, groups, and displays the accumulated risk score.
- Threat hunting hypothesis
- A testable statement about attacker behavior expected in the environment, such as a specific technique appearing in telemetry, that a hunt search is designed to confirm or refute.
- tstats command
- A Splunk command that queries accelerated data model summaries instead of raw events, returning counts and aggregations far faster than a raw search over the same time range.
- rare command
- A Splunk statistical command returning the least frequent field values in a result set, used in hunting to surface unusual processes, parent-child pairs, or domains.
- Baseline
- A stored or recomputed profile of normal activity for a host, user, or process over a historical period, against which current activity is compared to identify deviation.
- MITRE ATT&CK
- A knowledge base of adversary tactics and techniques used to structure hunt hypotheses and to measure which behaviors existing detections actually cover.
- streamstats command
- A Splunk command that computes running aggregates over ordered events, enabling detection of sequences such as repeated failures followed by a success for the same entity.
- Data coverage gap
- A sourcetype, host, or log channel that is missing or not ingested, which produces false negatives during hunting because the behavior simply never appears in search results.
- Hunt documentation outcome
- The recorded result of a hunt: a new detection rule, a tuning or exclusion change, a data onboarding request, or a documented negative finding with the search used.
- Incident Review
- The Splunk ES console where notables are triaged, assigned, commented on, and moved through status states, with links into contributing events and entity context.
- Notable status workflow
- The lifecycle states of a notable in Splunk ES: New, In Progress, Pending, Resolved, and Closed. Each transition records owner, urgency, severity, and analyst comments.
- Throttling
- A correlation search setting that suppresses additional notables for the same field-value combination within a defined time span, reducing duplicate alerts without deleting events.
- Sysmon Event ID 1
- Process Create: records the image path, command line, parent process, user, and hashes of a newly started process, forming the core endpoint detection data source.
- Windows event 4625
- A failed logon attempt recorded in the Security log. Repeated 4625 events for one account or source indicate password guessing or brute-force activity.
- False positive tuning
- Adjusting detection logic by raising thresholds, narrowing windows, or adding lookup-based exclusions so that legitimate activity stops firing while malicious behavior still does.
- Machine Learning Toolkit
- The Splunk app providing ML commands and algorithms used to build anomaly detections, such as density function or outlier models trained on historical event behaviour.
- transaction command
- A Splunk command that groups related events sharing a key into a single record using maxspan and maxpause constraints, useful for detecting multi-step attack sequences.