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SIEM & Log AnalysisELK Stack

Elasticsearch Basics

30 min
theory
+40 XP

Learning Objectives

  • Understand ELK stack for security
  • Configure Elasticsearch, Logstash, and Kibana
  • Build security dashboards and queries

ELK Stack for Security Operations

The Elastic Stack—Elasticsearch, Logstash, and Kibana—provides open-source log management and analysis capabilities widely used in security operations. Understanding ELK enables you to build powerful visibility into organizational activity.

Stack Components

Elasticsearch stores and indexes data, enabling fast searches across massive volumes. Its distributed architecture scales to handle organizational logging volumes.

Logstash processes incoming data, parsing, enriching, and transforming logs before storage. Grok patterns extract structured fields from unstructured log lines. Enrichment can add geographic data, threat intelligence, or other context.

Kibana provides visualization and querying through a web interface. Dashboards display key metrics. Discovery enables ad-hoc searching. Canvas creates polished presentations.

Beats are lightweight data shippers that collect and forward logs. Filebeat handles file-based logs, Winlogbeat specializes in Windows events, Packetbeat provides network visibility.

Security Applications

Security teams use ELK for centralized log management. Aggregating logs from diverse sources—firewalls, endpoints, applications, authentication systems—enables correlation and investigation.

Detection rules identify suspicious patterns. Elastic Security provides pre-built detection rules covering common attack techniques. Custom rules address organization-specific threats.

Investigation workflows leverage ELK's search capabilities. Starting from an indicator, analysts pivot through related data to understand attack scope.

Threat hunting queries search historical data for evidence of compromise. Rather than waiting for alerts, hunters proactively search for attacker techniques.

Building Effective Dashboards

Effective dashboards answer operational questions at a glance. What threats appeared today? Which systems show anomalies? What authentication failures occurred?

Widget selection affects information density. Aggregate metrics summarize large datasets. Time series show trends. Tables display details when needed.

Dashboard organization groups related information. Security overview dashboards highlight key metrics. Drill-down dashboards provide investigation detail. Build hierarchies that support operational workflows.

Query Mastery

Kibana Query Language provides intuitive text search with field-specific filtering. Boolean operators combine conditions. Wildcards match partial values.

Event Query Language describes event sequences—useful for multi-step attack detection. Correlating events over time identifies patterns that single-event queries miss.

Building query proficiency accelerates investigation. Saved queries codify common searches. Query history enables iterative refinement.

Answer the Questions0 / 4 completed

📚 KnowledgeQuestion 1

What are ELK Stack components?

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⌨️ Hands-OnQuestion 2

Which ELK component visualizes data?

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📚 KnowledgeQuestion 3

How does Elasticsearch store data?

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⌨️ Hands-OnQuestion 4

Which ELK component stores the data?

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