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CrowdStrike FDR events sensor logs: Field extractions module

Use case

Use this SPL2 module when you want to preserve the Splunk Add-on for CrowdStrike FDR field-extraction behavior for crowdstrike:events:sensor data in an SPL2 workflow. Modules are reusable building blocks that can be referenced from SPL2 pipelines instead of rewriting sourcetype-specific extraction logic by hand.

Note

This module must not be used with Splunk indexes. It is intended only for exporting to data lakes.

Version 0.1.0

Version 0.1.0 of the CrowdStrike FDR events sensor logs: Field extractions module was released with the Splunk Add-on for CrowdStrike FDR v3.1.0 SPL2 content update.


Module details

Compatibility

This module is compatible with Splunk Add-on for CrowdStrike FDR v3.1.0 and higher.

Module description

This module is generated from the add-on’s props.conf and transforms.conf knowledge objects. Its purpose is to preserve the same field-extraction, normalization, calculated-field, and lookup behavior that the add-on defines for the crowdstrike:events:sensor sourcetype, but in reusable SPL2 form.

The module applies JSON field extraction, regular-expression extractions, field aliases, calculated fields, lookup enrichments, bitmask meaning fields, and nested JSON flattening for CrowdStrike FDR sensor events.

Supported sourcetype

This module applies to events with the crowdstrike:events:sensor sourcetype.

Module outline

The module consists of helper functions followed by one exported function.

Function name Description Configuration options
apply_kv_mode Applies JSON field extraction behavior for the sourcetype. No configuration options.
apply_extractions Applies extraction behavior derived from REPORT, EXTRACT, and TRANSFORMS knowledge objects. No configuration options.
apply_normalizations Applies field alias behavior derived from FIELDALIAS knowledge objects. No configuration options.
apply_calculations_on_fields Applies calculated-field behavior derived from EVAL knowledge objects. No configuration options.
bitmask_to_values Converts bitmask fields into meaning values. No configuration options.
flatten_one_element_mv Flattens one-element multivalue results produced by bitmask conversion. No configuration options.
apply_lookups Applies lookup enrichments derived from LOOKUP knowledge objects when present. No configuration options.
_flatten_json Flattens nested JSON data into top-level fields. No configuration options.
crowdstrike_events_sensor_field_extractions_function Exported module function for crowdstrike:events:sensor events. No configuration options.

Example usage

You can reference the exported function from a pipeline that targets crowdstrike:events:sensor events, for example:

import crowdstrike_events_sensor_field_extractions_function from crowdstrike_events_sensor_field_extractions_module

$pipeline = | from $source
            | crowdstrike_events_sensor_field_extractions_function
            | into $destination