SplunkPy

This Integration is part of the Splunk Pack.#

Use the SplunkPy integration to:

Fetch events (logs) from within Cortex XSOAR
Push events from Cortex XSOAR to SplunkPy
Fetch SplunkPy ES notable events as Cortex XSOAR incidents.

This integration was integrated and tested with Splunk v7.2.

Use Cases#

Query Splunk for events.
Create a new event in Splunk.
Get results of a search that was executed in Splunk.

Configure SplunkPy on Cortex XSOAR#

Navigate to Settings > Integrations > Servers & Services.
Search for SplunkPy.
Click Add instance to create and configure a new integration instance.

Parameter	Description	Required
host	The host name to the server, including the scheme (x.x.x.x).	True
authentication	The username used for authentication. To use Splunk token authentication, enter the text: `_token` in the Username field and your token value in the Password field. To create an authentication token, go to Splunk create authentication tokens.	True
port	The port affiliated with the server.	True
fetchQuery	The events query to be fetched.	False
fetch_limit	The limit of incidents to fetch. The maximum is 200. (It is recommended to fetch less than 50).	False
isFetch	The incidents fetched.	False
incidentType	The incident type.	False
proxy	Runs the integration instance using the proxy server (HTTP or HTTPS) that you defined in the server configuration.	False
timezone	The timezone of the Splunk server (in minutes). For example, if GMT is gmt +3, set the timezone to +180. For UTC, set the timezone to 0. (Set this only if the Splunk server is different than the Cortex XSOAR server). This is relevant only for fetching notable events.	False
parseNotableEventsRaw	Parses the raw part of notable events.	False
replaceKeys	Replace with underscore in incident fields	False
extractFields	The CSV fields that will be parsed out of _raw notable events.	False
useSplunkTime	Uses the Splunk clock time for the fetch.	False
unsecure	When selected, certificates are not checked (not secure).	False
app	The context of the application's namespace.	False
hec_token	The HEC token (HTTP Event Collector).	False
hec_url	The HEC URL. For example, https://localhost:8088.	False
fetch_time	The first timestamp to fetch in \<number>\<time unit> format. For example, "12 hours", "7 days", "3 months", "1 year".	False
use_requests_handler	Use Python requests handler	False
type_field	Used only for mapping with the Select Schema option. The name of the field that contains the type of the event or alert. The default value is "source", which is a good option for notable events. However, you may choose any custom field that suits the need.	False
use_cim	Use this option to get the mapping fields by Splunk CIM. See https://docs.splunk.com/Documentation/CIM/4.18.0/User/Overview for more info.	False
mirror_direction	Choose the direction to mirror the incident: Incoming (from Splunk to XSOAR), Outgoing (from XSOAR to Splunk), or Incoming and Outgoing (from/to SOAR and Splunk).	False
close_incident	When selected, closing the Splunk notable event is mirrored in Cortex XSOAR.	False
close_notable	When selected, closing the XSOAR incident is mirrored in Splunk.	False
enabled_enrichments	The possible types of enrichment are: Drilldown, Asset, and Identity	False
num_enrichment_events	The maximal number of event to retrieve per enrichment type. Default to 20.	False
enrichment_timeout	The maximal time for an enrichment to be processed. Default to 5min. When the selected timeout was reached, notable events that were not enriched will be saved without the enrichment.	False

The (!) Earliest time to fetch and Latest time to fetch are search parameters options. The search uses All Time as the default time range when you run a search from the CLI. Time ranges can be specified using one of the CLI search parameters, such as earliest_time, index_earliest, or latest_time.

Click Test to validate the URLs, token, and connection.

Note: To use a Splunk Cloud instance, contact Splunk support to request API access. Use a non-SAML account to access the API.

Splunk Enterprise Security Users#

Note: The following information is for Splunk Enterprise Security Users.
For Splunk non-Enterprise Security Users, see Splunk non-Enterprise Security Users.

Fetching notable events#

The integration allows for fetching Splunk notable events using a default query. The query can be changed and modified to support different Splunk use cases. (See Existing users).

Enriching notable events#

This integration allows 3 types of enrichments for fetched notables: Drilldown, Asset, and Identity.

Enrichment types#

Drilldown search enrichment: fetches the drilldown search configured by the user in the rule name that triggered the notable event and performs this search. The results are stored in the context of the incident under the Drilldown field.
Asset search enrichment: Runs the following query: | inputlookup append=T asset_lookup_by_str where asset=$ASSETS_VALUE | inputlookup append=t asset_lookup_by_cidr where asset=$ASSETS_VALUE | rename _key as asset_id | stats values() as by asset_id where the $ASSETS_VALUE is replaced with the src, dest, src_ip and dst_ip from the fetched notable. The results are stored in the context of the incident under the Asset field.
Identity search enrichment: Runs the following query `| inputlookup identity_lookup_expanded where identity=$IDENTITY_VALUE where the $IDENTITY_VALUE is replaced with the user and src_user from the fetched notable event. The results are stored in the context of the incident under the Identity field.

How to configure#

Configure the integration to fetch incidents.
Enrichment Types: Select the enrichment types you want to enrich each fetched notable with. If none are selected, the integration will fetch notables as usual (without enrichment).
Fetch events query: The query for fetching events. The default query is for fetching notable events. You can edit this query to fetch other types of events. Note that to fetch notable events, make sure the query uses the `notable` macro.
Enrichment Timeout (Minutes): The timeout for each enrichment (default is 5min). When the selected timeout was reached, notable events that were not enriched will be saved without the enrichment.
Number of Events Per Enrichment Type: The maximal amount of events to fetch per enrichment type (default to 20).

Configure User Mapping between Splunk and Cortex XSOAR#

When fetching incidents from Splunk to Cortex XSOAR and when mirroring incidents between Splunk and Cortex XSOAR, the Splunk Owner Name (user) associated with an incident needs to be mapped to the relevant Cortex XSOAR Owner Name (user).
You can use Splunk to define a user lookup table and then configure the SplunkPy integration instance to enable the user mapping. Alternatively, you can map the users with a script or a transformer.

note: Owner field in Xsoar incident can only be uses for mirroring-out and cannot be changed according to Splunk values. Mirroring-in will be available via the Assigned User incident field.

Configure User Mapping Using Splunk

Define the lookup table in Splunk.
1. Under App: Lookup Editor, select Lookup Editor.
2. Select Create a New Lookup > KV Store lookup.
3. Enter the Name for the table. For example, splunk_xsoar_users is the default lookup table name defined in the SplunkPy integration settings.
4. Under App, select Enterprise Security.
5. Assign two Key-value collection schema fields, one for the Cortex XSOAR usernames and one for the corresponding Splunk usernames. For example, xsoar_user and splunk_user are the default field values defined in the SplunkPy integration settings.
6. Click Create Lookup.
  
  Note:
  If the user keys are defined already in another table, you can use that table name and relevant key names in the SplunkPy integration settings.
7. Add values to the table to map Cortex XSOAR users to the Splunk users.
Configure the Splunk integration instance.
Define the lookup table in Splunk.
1. Under Settings > Integrations, search for the SplunkPy integration and create an instance.
2. In the Integration Settings:
  1. Select Enable user mapping.
  2. Set Users Lookup table name to the name of the lookup table defined in Splunk. By default it is splunk_xsoar_users.
  3. Set the XSOAR user key to the field defined in the Splunk lookup table. By default it is xsoar_user.
  4. Set the SPLUNK user key to the field defined in the Splunk lookup table. By default it is splunk_user.

Troubleshooting enrichment status#

Each enriched incident contains the following fields in the incident context:

successful_drilldown_enrichment: whether the drill down enrichment was successful.
successful_asset_enrichment: whether the asset enrichment was successful.
successful_identity_enrichment: whether the identity enrichment was successful.

Resetting the enriching fetch mechanism#

Run the splunk-reset-enriching-fetch-mechanism command and the mechanism will be reset to the initial configuration. (No need to use the Last Run button).

Limitations#

As the enrichment process is asynchronous, fetching enriched incidents takes longer. The integration was tested with 20+ notables simultaneously that were fetched and enriched after approximately ~4min.
If you wish to configure a mapper, wait for the integration to perform the first fetch successfully. This is to make the fetch mechanism logic stable.
The drilldown search, does not support Splunk's advanced syntax. For example: Splunk filters (|s, |h, etc.)

Incident Mirroring#

Imporatnt Notes*

This feature is available from Cortex XSOAR version 6.0.0.
This feature is supported by Splunk Enterprise Security only.
In order for the mirroring to work, the Incident Mirroring Direction parameter needs to be set before the incident is fetched.
In order to ensure the mirroring works as expected, mappers are required, both for incoming and outgoing, to map the expected fields in Cortex XSOAR and Splunk.
For mirroring the owner field, the usernames need to be transformed to the corresponding in Cortex XSOAR and Splunk.

You can enable incident mirroring between Cortex XSOAR incidents and Splunk notables. To setup the mirroring follow these instructions:

Navigate to Settings > Integrations > Servers & Services.
Search for SplunkPy and select your integration instance.
Enable Fetches incidents.
You can go to the Fetch events query parameter and select the query to fetch the notables from Splunk. Make sure to provide a query which uses the `notable` macro, See the default query as an example.
In the Incident Mirroring Direction integration parameter, select in which direction the incidents should be mirrored:
- Incoming - Any changes in Splunk notables (notable's status, status_label, urgency, comments, and owner) will be reflected in XSOAR incidents.
- Outgoing - Any changes in XSOAR incidents (notable's status (not status_label), urgency, comments, and owner) will be reflected in Splunk notables.
- Incoming And Outgoing - Changes in XSOAR incidents and Splunk notables will be reflected in both directions.
- None - Turns off incident mirroring.
Optional: Check the Close Mirrored XSOAR Incident integration parameter to close the Cortex XSOAR incident when the corresponding notable is closed on Splunk side.
Optional: Check the Close Mirrored Splunk Notable Event integration parameter to close the Splunk notable when the corresponding Cortex XSOAR incident is closed.
Fill in the timezone integration parameter with the timezone the Splunk Server is using. Newly fetched incidents will be mirrored in the chosen direction. Note: This will not effect existing incidents.

Existing users#

NOTE: The enrichment and mirroring mechanisms use a new default fetch query. This implies that new fetched events might have a slightly different structure than old events fetched so far. Users who wish to enrich or mirror fetched notables and have already used the integration in the past:

Might have to slightly change the existing logic for some of their custom entities configured for Splunk (Playbooks, Mappers, Pre-Processing Rules, Scripts, Classifiers, etc.) in order for them to work with the modified structure of the fetched events.
Will need to change the Fetch events query integration parameter to the following query (or a fetch query of their own that uses the `notable` macro):

search `notable` | eval rule_name=if(isnull(rule_name),source,rule_name) | eval rule_title=if(isnull(rule_title),rule_name,rule_title) | `get_urgency` | `risk_correlation` | eval rule_description=if(isnull(rule_description),source,rule_description) | eval security_domain=if(isnull(security_domain),source,security_domain) | expandtoken

Mapping fetched incidents using Select Schema#

This integration supports the Select Schema feature of XSOAR 6.0 by providing the get-mapping-fields command. When creating a new field mapping for fetched incidents, the Pull Instances option retrieves current alerts which can be clicked to visually map fields. The Select Schema option retrieves possible objects, even if they are not the next objects to be fetched, or have not been triggered in the past 24 hours. This enables you to map fields for an incident without having to generate a new alert or incident just for the sake of mapping. The get-mapping-fields command can be executed in the Playground to test and review the list of sample objects that are returned under the current configuration.

To use this feature, you must set several integration instance parameters:

Fetch events query - The query used for fetching new incidents. Select Schema will run a modified version of this query to get the object samples, so it is important to have the correct query here.
Event Type Field - The name of the field that contains the type of the event or alert. The default value is source which for Notable Events will contains the rule name. However, you may choose any custom field that suits this purpose.
First fetch timestamp - The time scope of objects to be pulled. You may choose to go back further in time to include samples for alert types that haven't triggered recently - so long as your Splunk server can handle the more intensive Search Job involved.

Mapping Splunk CIM fields using Select Schema#

This integration supports the Select Schema feature of XSOAR 6.0 by providing the get-mapping-fields command. When creating a new field mapping for fetched incidents, the Pull Instances option retrieves current alerts which can be clicked to visually map fields. If the user has configured the Use CIM Schemas for Mapping parameter then the Select Schema option retrieves fields based on Splunk CIM. For more information see: https://docs.splunk.com/Documentation/CIM/4.18.0/User/Overview. The CIM mapping fields implemented in this integration are of 4.18.0 version.

Splunk non-Enterprise Security Users#

Configure Splunk to Produce Alerts for SplunkPy for non-ES Splunk Users#

It is recommended that Splunk is configured to produce basic alerts that the SplunkPy integration can ingest, by creating a summary index in which alerts are stored. The SplunkPy integration can then query that index for incident ingestion. It is not recommended to use the Cortex XSOAR application with Splunk for routine event consumption because this method is not able to be monitored and is not scalable.

Create a summary index in Splunk. For more information, click here.
Build a query to return relevant alerts.
Identify the fields list from the Splunk query and save it to a local file.
Define a search macro to capture the fields list that you saved locally. For more information, click here. Use the following naming convention: (demistofields{type}).
Define a scheduled search, the results of which are stored in the summary index. For more information about scheduling searches, click here.
In the Summary indexing section, select the summary index, and enter the {key:value} pair for Cortex XSOAR classification.
Configure the incident type in Cortex XSOAR by navigating to Settings > Advanced > Incident Types. Note: In the example, Splunk Generic is a custom incident type.
Configure the classification. Make sure that your non ES incident fields are associated with your custom incident type.
1. Navigate to Settings > Integrations > Classification & Mapping.
2. Click your classifier.
3. Select your instance.
4. Click the fetched data.
5. Drag the value to the appropriate incident type.
Configure the mapping. Make sure to map your non ES fields accordingly and make sure that these incident fields are associated with their custom incident type.
1. Navigate to Settings > Integrations > Classification & Mapping.
2. Click your mapper.
3. Select your instance.
4. Click the Choose data path link for the field you want to map.
5. Click the data from the Splunk fields to map it to Cortex XSOAR.
(Optional) Create custom fields.
Build a playbook and assign it as the default for this incident type.

Constraints#

The following features are not supported in non-ES (Enterprise Security) Splunk.

Incident Mirroring
Enrichment.
Content in the Splunk content pack (such as mappers, layout, playbooks, incident fields, and the incident type). Therefore, you will need to create your own content. See the Cortex XSOAR Administrator’s Guide for information.

Commands#

You can execute these commands from the Cortex XSOAR CLI, as part of an automation, or in a playbook. After you successfully execute a command, a DBot message appears in the War Room with the command details.

Get results#

Returns the results of a previous Splunk search. This command can be used in conjunction with the splunk-job-create command.

Base Command#

splunk-results

Input#

Argument Name	Description	Required
sid	The ID of the search for which to return results.	Required
limit	The maximum number of returned results per search. To retrieve all results, enter "0" (not recommended).	Optional

Context Output#

There is no context output for this command.

Command Example#

!splunk-results sid="1566221331.1186" limit="200"

Search for events#

Searches Splunk for events.

Base Command#

splunk-search

Input#

Argument Name	Description	Required
query	The Splunk search language string to execute. For example, "index=* \| head 3".	Required
earliest_time	Specifies the earliest time in the time range to search. The time string can be a UTC time (with fractional seconds), a relative time specifier (to now), or a formatted time string. The default is 1 week ago, in the format "-7d". You can also specify time in the format: 2014-06-19T12:00:00.000-07:00.	Optional
latest_time	Specifies the latest time in the time range to search. The time string can be a UTC time (with fractional seconds), a relative time specifier (to now), or a formatted time string. For example: "2014-06-19T12:00:00.000-07:00" or "-3d" (for 3 days ago).	Optional
event_limit	The maximum number of events to return. The default is 100. If "0" is selected, all results are returned.	Optional
app	The string that contains the application namespace in which to restrict searches.	Optional
batch_limit	The maximum number of returned results to process at a time. For example, if 100 results are returned, and you specify a `batch_limit` of 10, the results will be processed 10 at a time over 10 iterations. This does not affect the search or the context and outputs returned. In some cases, specifying a `batch_size` enhances search performance. If you think that the search execution is suboptimal, it is recommended to try several `batch_size` values to determine which works best for your search. The default is 25,000.	Optional
update_context	Determines whether the results will be entered into the context.	Optional
polling	Use XSOAR built-in polling to retrieve the result when it's ready.	Optional
interval_in_seconds	Interval in seconds between each poll.	Optional
sid	The job sid.	Optional

Context Output#

Path	Type	Description
Splunk.Result	Unknown	The results of the Splunk search. The results are a JSON array, in which each item is a Splunk event.
Splunk.JobStatus	String	The search status.

Command Example#

!splunk-search query="* | head 3" earliest_time="-1000d"

Note: To display empty columns as well, the following should be added to the query: | fillnull value=

Human Readable Output#

Splunk Search results for query: * | head 3#

_bkt	_cd	_indextime	_kv	_raw	_serial	_si	_sourcetype	_time	host	index	linecount	source	sourcetype	splunk_server
main~445~66D21DF4-F4FD-4886-A986-82E72ADCBFE9	445:897774	1585462906	1	InsertedAt="2020-03-29 06:21:43"; EventID="837005"; EventType="Application control"; Action="None"; ComputerName="ACME-code-007"; ComputerDomain="DOMAIN"; ComputerIPAddress="127.0.0.1"; EventTime="2020-03-29 06:21:43"; EventTypeID="5"; Name="LogMeIn"; EventName="LogMeIn"; UserName=""; ActionID="6"; ScanTypeID="200"; ScanType="Unknown"; SubTypeID="23"; SubType="Remote management tool"; GroupName="";\u003cbr\u003e	2	ip-172-31-44-193, main	sophos:appcontrol	2020-03-28T23:21:43.000-07:00	127.0.0.1	main	2	eventgen	sophos:appcontrol	ip-172-31-44-193

Create event#

Creates a new event in Splunk.

Base Command#

splunk-submit-event

Input#

Argument Name	Description	Required
index	The Splunk index to which to push the data. Run the `splunk-get-indexes` command to get all of the indexes.	Required
data	The new event data to push. Can be any string.	Required
sourcetype	The event source type.	Required
host	The event host. Can be "Local" or "120.0.0.1".	Required

Context Output#

There is no context output for this command.

Command Example#

!splunk-submit-event index="main" data="test" sourcetype="demisto-ci" host="localhost"

Human Readable Output#

Print all index names#

Prints all Splunk index names.

Base Command#

splunk-get-indexes

Input#

There are no input arguments for this command.

Context Output#

There is no context output for this command.

Command Example#

!splunk-get-indexes extend-context="indexes="

Human Readable Output#

Update notable events#

Update an existing notable event in Splunk ES.

Base Command#

splunk-notable-event-edit

Input#

Argument Name	Description	Required
eventIDs	The comma-separated list of event IDs of notable events.	Required
owner	The Splunk user to assign to the notable events.	Optional
comment	The comment to add to the notable events.	Required
urgency	The urgency of the notable events.	Optional
status	The status of the notable events. Can be 0 - 5, where 0 - Unassigned, 1 - Assigned, 2 - In Progress, 3 - Pending, 4 - Resolved, 5 - Closed.	Optional

Context Output#

There is no context output for this command.

Command Example#

!splunk-notable-event-edit eventIDs=66D21DF4-F4FD-4886-A986-82E72ADCBFE9@@notable@@a045b8acc3ec93c2c74a2b18c2caabf4 comment="Demisto"

Human Readable Output#

Create a new job#

Creates a new search job in Splunk.

Base Command#

splunk-job-create

Input#

Argument Name	Description	Required
query	The Splunk search language string to execute. For example, "index=* \| head 3".	Required
app	The string that contains the application namespace in which to restrict searches.	Optional

Context Output#

Path	Type	Description
Splunk.Job	Unknown	The SID of the created job.

Command Example#

!splunk-job-create query="index=* | head 3"

Context Example#

{
    "Splunk.Job": "1566221733.1628"
}

Human Readable Output#

Parse an event#

Parses the raw part of the event.

Base Command#

splunk-parse-raw

Input#

Argument Name	Description	Required
raw	The raw data of the Splunk event (string).	Optional

Context Output#

Path	Type	Description
Splunk.Raw.Parsed	unknown	The raw event data (parsed).

Command Example#

!splunk-parse-raw

Submit an event#

Sends events to an HTTP event collector using the Splunk platform JSON event protocol.

Base Command#

splunk-submit-event-hec

Input#

Argument Name	Description	Required
event	The event payload key-value pair. An example string: "event": "Access log test message.".	Required
fields	Fields for indexing that do not occur in the event payload itself. Accepts multiple, comma-separated, fields.	Optional
index	The index name.	Optional
host	The hostname.	Optional
source_type	The user-defined event source type.	Optional
source	The user-defined event source.	Optional
time	The epoch-formatted time.	Optional

Context Output#

There is no context output for this command.

Command Example#

!splunk-submit-event-hec event="something happened" fields="severity: INFO, category: test, test1" source_type=access source="/var/log/access.log"

Human Readable Output#

The event was sent successfully to Splunk.

Get job status#

Returns the status of a job.

Base Command#

splunk-job-status

Input#

Argument Name	Description	Required
sid	The ID of the job for which to get the status.	Required

Context Output#

Path	Type	Description
Splunk.JobStatus.CID	Unknown	The ID of the job.
Splunk.JobStatus.Status	Unknown	The status of the job.

Command Example#

!splunk-job-status sid=1234.5667

Context Example#

Splank.JobStatus = {
    'SID': 1234.5667,
    'Status': DONE
}

Human Readable Output#

Get Mapping Fields#

Gets one sample alert per alert type. Used only for creating a mapping with Select Schema.

Base Command#

get-mapping-fields

Input#

There are no input arguments for this command.

Context Output#

There is no context output for this command.

Command Example#

!get-mapping-fields using="SplunkPy_7.2" raw-response="true"

Human Readable Output#

{
    "Access - Brute Force Access Behavior Detected - Rule": {
        "_bkt": "notable~712~66D21DF4-F4FD-4886-A986-82E72ADCBFE9",
        "_cd": "712:21939",
        "_indextime": "1598464820",
        "_serial": "0",
        "_si": [
            "ip-1-1-1-1",
            "notable"
        ],
        "_sourcetype": "stash",
        "_time": "2020-08-26T11:00:20.000-07:00",
        "host": "ip-1-1-1-1",
        "host_risk_object_type": "system",
        "host_risk_score": "0",
        "index": "notable",
        "linecount": "1",
        "priority": "unknown",
        "risk_score": "460",
        "rule_description": "Access - Brute Force Access Behavior Detected - Rule",
        "rule_name": "Access - Brute Force Access Behavior Detected - Rule",
        "rule_title": "Access - Brute Force Access Behavior Detected - Rule",
        "security_domain": "Access - Brute Force Access Behavior Detected - Rule",
        "severity": "unknown",
        "source": "Access - Brute Force Access Behavior Detected - Rule",
        "sourcetype": "stash",
        "splunk_server": "ip-1-1-1-1",
        "src": "1.1.1.1",
        "src_risk_object_type": "system",
        "src_risk_score": "460",
        "urgency": "low"
    },
    "Access - Excessive Failed Logins - Rule": {
        "_bkt": "notable~712~66D21DF4-F4FD-4886-A986-82E72ADCBFE9",
        "_cd": "712:21515",
        "_indextime": "1598460945",
        "_serial": "22",
        "_si": [
            "ip-1-1-1-1",
            "notable"
        ],
        "_sourcetype": "stash",
        "_time": "2020-08-26T09:55:45.000-07:00",
        "host": "ip-1-1-1-1",
        "host_risk_object_type": "system",
        "host_risk_score": "0",
        "index": "notable",
        "linecount": "1",
        "priority": "unknown",
        "risk_score": "380",
        "rule_description": "Access - Excessive Failed Logins - Rule",
        "rule_name": "Access - Excessive Failed Logins - Rule",
        "rule_title": "Access - Excessive Failed Logins - Rule",
        "security_domain": "Access - Excessive Failed Logins - Rule",
        "severity": "unknown",
        "source": "Access - Excessive Failed Logins - Rule",
        "sourcetype": "stash",
        "splunk_server": "ip-1-1-1-1",
        "src": "1.1.1.1",
        "src_risk_object_type": "system",
        "src_risk_score": "380",
        "urgency": "low"
}

splunk-kv-store-collection-create#

Creates a new KV store table.

Base Command#

splunk-kv-store-collection-create

Input#

Argument Name	Description	Required
kv_store_name	The name of the KV store collection.	Required
app_name	The name of the Splunk application in which to create the KV store. The default is "search".	Required

Context Output#

There is no context output for this command.

Command Example#

!splunk-kv-store-collection-create app_name=search kv_store_name=demisto_store

Human Readable Output#

KV store collection search created successfully

splunk-kv-store-collection-config#

Configures the KV store fields.

Base Command#

splunk-kv-store-collection-config

Input#

Argument Name	Description	Required
kv_store_collection_name	The name of the KV store collection.	Required
kv_store_fields	The list of names and value types to define the KV store collection scheme, e.g., id=number, name=string, address=string.	Required
app_name	The name of the Splunk application that contains the KV store collection. The default is "search".	Required

Context Output#

There is no context output for this command.

Command Example#

!splunk-kv-store-collection-config app_name=search kv_store_collection_name=demisto_store kv_store_fields=addr=string

Human Readable Output#

KV store collection search configured successfully

splunk-kv-store-collection-add-entries#

Adds objects to a KV store utilizing the batch-save API.

Base Command#

splunk-kv-store-collection-add-entries

Input#

Argument Name	Description	Required
kv_store_data	The data to add to the KV store collection, according to the collection JSON format, e.g., {"name": "Splunk HQ", "id": 123, "address": { "street": "250 Brannan Street", "city": "San Francisco", "state": "CA", "zip": "94107"}}	Required
kv_store_collection_name	The name of the KV store collection.	Required
indicator_path	The path to the indicator value in kv_store_data.	Optional
app_name	The name of the Splunk application that contains the KV store collection. The default is "search".	Required

Context Output#

There is no context output for this command.

Command Example#

!splunk-kv-store-collection-add-entries app_name=search kv_store_collection_name=demisto_store kv_store_data="{\"addr\": \"0.0.0.0\"}" indicator_path=addr

Human Readable Output#

Data added to demisto_store

splunk-kv-store-collections-list#

Lists all collections for the specified application.

Base Command#

splunk-kv-store-collections-list

Input#

Argument Name	Description	Required
app_name	The name of the Splunk application in which to create the KV store. The default is "search".	Required

Context Output#

Path	Type	Description
Splunk.CollectionList	String	List of collections.

Command Example#

!splunk-kv-store-collections-list app_name=search

Context Example#

{
    "Splunk": {
        "CollectionList": [
            "autofocus_tags",
            "files"
        ]
    }
}

Human Readable Output#

list of collection names search | name | | --- | |autofocus_tags| |files|

splunk-kv-store-collection-data-list#

Lists all data within a specific KV store collection or collections.

Base Command#

splunk-kv-store-collection-data-list

Input#

Argument Name	Description	Required
app_name	The name of the Splunk application that contains the KV store collection. The default is "search".	Required
kv_store_collection_name	A comma-separated list of KV store collections.	Required
limit	Maximum number of records to return. The default is 50.	Optional

Context Output#

Path	Type	Description
Splunk.KVstoreData	Unknown	An array of collection names. Each collection name will have an array of values, e.g., Splunk.KVstoreData.<colletion_name> is a list of the data in the collection).

Command Example#

!splunk-kv-store-collection-data-list app_name=search limit=3 kv_store_collection_name=demisto_store

Context Example#

{
    "Splunk": {
        "KVstoreData": {
            "demisto_store": [
                {
                    "_key": "5f4e2e9c097d9e6749453536",
                    "_user": "nobody",
                    "addr": "0.0.0.0"
                }
            ]
        }
    }
}

Human Readable Output#

list of collection values demisto_store#
_key _user addr
5f4e2e9c097d9e6749453536 nobody 0.0.0.0

_key	_user	addr
5f4e2e9c097d9e6749453536	nobody	0.0.0.0

splunk-kv-store-collection-data-delete#

Deletes all data within the specified KV store collection or collections.

Base Command#

splunk-kv-store-collection-data-delete

Input#

Argument Name	Description	Required
app_name	The name of the Splunk application that contains the KV store collection. For example, "search"."	Required
kv_store_collection_name	A comma-separated list of KV store collections.	Required

Context Output#

There is no context output for this command.

Command Example#

!splunk-kv-store-collection-data-delete app_name=search kv_store_collection_name=demisto_store

Human Readable Output#

The values of the demisto_store were deleted successfully

splunk-kv-store-collection-delete#

Deletes the specified KV stores.

Base Command#

splunk-kv-store-collection-delete

Input#

Argument Name	Description	Required
app_name	The name of the Splunk application that contains the KV store. The default is "search".	Required
kv_store_name	A comma-separated list of KV stores.	Required

Context Output#

There is no context output for this command.

Command Example#

!splunk-kv-store-collection-delete app_name=search kv_store_name=demisto_store

Human Readable Output#

The following KV store demisto_store were deleted successfully

splunk-kv-store-collection-search-entry#

Searches for specific objects in a store. Search can be a basic key-value pair or a full query.

Base Command#

splunk-kv-store-collection-search-entry

Input#

Argument Name	Description	Required
app_name	The name of the Splunk application that contains the KV store collection. The default is "search".	Required
kv_store_collection_name	The name of the KV store collection	Required
key	The key name to search in the store. If the query argument is used, this argument will be ignored.	Optional
value	The value to search in the store. If the query argument is used, this argument will be ignored.	Optional
query	Complex query to search in the store with operators such as "and", "or", "not", etc. For more information see the Splunk documentation: https://docs.splunk.com/Documentation/Splunk/8.0.3/RESTREF/RESTkvstore	Optional

Context Output#

Path	Type	Description
Splunk.KVstoreData	Unknown	An array of collection names. Each collection name will have an array of values, e.g., Splunk.KVstoreData.<colletion_name> is a list of the data in the collection).

Command Example#

!splunk-kv-store-collection-search-entry app_name=search kv_store_collection_name=demisto_store key=addr value=0.0.0.0

Context Example#

{
    "Splunk": {
        "KVstoreData": {
            "demisto_store": [
                {
                    "_key": "5f4e2e9c097d9e6749453536",
                    "_user": "nobody",
                    "addr": "0.0.0.0"
                }
            ]
        }
    }
}

Human Readable Output#

list of collection values demisto_store#
_key _user addr
5f4e2e9c097d9e6749453536 nobody 0.0.0.0

_key	_user	addr
5f4e2e9c097d9e6749453536	nobody	0.0.0.0

splunk-kv-store-collection-delete-entry#

Deletes the specified object in store. Search can be a basic key-value pair or a full query.

Base Command#

splunk-kv-store-collection-delete-entry

Input#

Argument Name	Description	Required
app_name	The name of the Splunk application that contains the KV store collection. The deafult is "search".	Required
kv_store_collection_name	The name of the KV store collection.	Required
indicator_path	The path to the indicator value in kv_store_data.	Optional
key	The key name to search in the store. If the query argument is used, this argument will be ignored.	Optional
value	The value to search in the store. If the query argument is used, this argument will be ignored.	Optional
query	Complex query to search in the store with operators such as "and", "or", "not", etc. For more information see the Splunk documentation: https://docs.splunk.com/Documentation/Splunk/8.0.3/RESTREF/RESTkvstore	Optional

Context Output#

There is no context output for this command.

Command Example#

!splunk-kv-store-collection-delete-entry app_name=search kv_store_collection_name=demisto_store key=addr value=0.0.0.0 indicator_path=addr

Human Readable Output#

The values of the demisto_store were deleted successfully

get-remote-data#

Gets data from a notable event. This method does not update the current incident, and should be used for debugging purposes.

Base Command#

get-remote-data

Input#

Argument Name	Description	Required
id	The remote event ID.	Required
lastUpdate	ISO format date with timezone, e.g. 2021-02-09T16:41:30.589575+02:00. The incident is only updated if it was modified after the last update time.	Required

Context Output#

There is no context output for this command.

get-modified-remote-data#

Gets the list of notable events that were modified since the last update. This command should be used for debugging purposes, and is available from Cortex XSOAR version 6.1.

Base Command#

get-modified-remote-data

Input#

Argument Name	Description	Required
lastUpdate	ISO format date with timezone, e.g. 2021-02-09T16:41:30.589575+02:00. The incident is only returned if it was modified after the last update time.	Required

Context Output#

There is no context output for this command.

splunk-reset-enriching-fetch-mechanism#

Resets the enriching fetch mechanism.

Base Command#

splunk-reset-enriching-fetch-mechanism

Input#

There are no input arguments for this command.

Context Output#

There is no context output for this command.

Command Example#

splunk-reset-enriching-fetch-mechanism

Human Readable Output#

Enriching fetch mechanism was reset successfully.

splunk-get-username-by-xsoar-user#

Returns the Splunk's username matching the given Xsoar's username.

Base Command#

splunk-get-username-by-xsoar-user

Input#

Argument Name	Description	Required
xsoar_username	Xsoar username to match in splunk's usernames records.	Required

Context Output#

Path	Type	Description
Splunk.UserMapping.XsoarUser	String	xsoar user mapping.
Splunk.UserMapping.SplunkUser	String	splunk user mapping.

Command Example#

!splunk-get-username-by-xsoar-user xsoar_username=admin

Context Example#

{
    "Splunk": {
        "UserMapping": [
            {
                "SplunkUser": "unassigned", 
                "XsoarUser": "admin"
            }
        ]
    }
}

Human Readable Output#

Xsoar-Splunk Username Mapping#

Xsoar User Splunk User
admin unassigned

Xsoar User	Splunk User
admin	unassigned

Additional Information#

To get the HEC token

Go to the Splunk UI.
Under Settings > Data > Data inputs, click HTTP Event Collector.
Click New Token.
Add all the relevant details until done.

For the HTTP Port number: Click on Global settings (in the HTTP Event Collector page) Screen Shot 2020-01-20 at 10 27 25

The default port is 8088.

Troubleshooting#

In case you encounter HTTP errors (e.g., IncompleteRead), we recommend using Python requests handler.