Splunk is one of the most widely used SIEM platforms in enterprise security. Its Search Processing Language (SPL) is powerful and flexible, letting you slice through millions of events to find exactly what you need. If logs are a haystack, SPL is a very precise magnet.
Think of Splunk like Google for your security logs. You type a search, and it finds matching events across terabytes of data in seconds. But unlike Google, you can filter, transform, aggregate, and visualize the results in ways that reveal attacks and anomalies.
Learning SPL
SPL looks intimidating at first, but it's built on simple concepts: search → filter → transform → output. Start simple and build up. Splunk's documentation and "Job Inspector" help understand what your query is doing.
Splunk Interface
SPL Basics
Essential SPL Commands
Security-Focused Searches
Time-Based Analysis
Subsearches and Joins
Subsearch Limits
Subsearches have limits (default: 10,000 results, 60 seconds). For large datasets, use join or lookup instead. Check "Job Inspector" if subsearch results seem incomplete.
Creating Alerts
Dashboard Basics
SPL Investigation Methodology
Splunk Investigation Flow
1
ScopeDefine time range and index to search
2
Broad SearchStart with simple terms, review raw events
3
FilterNarrow with field values (user, src_ip)
4
AggregateUse stats to summarize patterns
5
VisualizeChart or table results for clarity
6
PivotUse findings to search related data
7
DocumentSave search, export results
Knowledge Check
Challenges
Key Takeaways
- SPL flow: search → filter → transform (stats/table) → output
- Use stats count by for aggregation, table for clean output
- EventCode=4625 (failed login), 4624 (success), 4688 (process)
- Timechart shows trends; useful for beaconing detection
- Subsearches let you search within search results
- Always specify index and time range for efficient searches