Added Playbooks from the CrowdStrike EDR Pack - now with IDs

playbooks/CrowdStrike_OAuth_API_Endpoint_Analysis.yml

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+name: CrowdStrike OAuth API Endpoint Analysis
+id: 1356baeb-9ad4-4d2c-b6ae-55dda6bd9db5
+version: 1
+date: '2025-06-09'
+author: Christian Cloutier, Splunk
+type: Investigation
+description: "Accepts a hostname or device id as input and collects running processes, network connections and various system information from the device via Crowdstrike. We then generate an observable report for each. This can be customized based on user preference."
+playbook: CrowdStrike_OAuth_API_Endpoint_Analysis
+how_to_implement: This input playbook requires the CrowdStrike OAuth API connector to be configured. It is designed to work with an endpoint hostname or device id and collect key information about the system, network connections and running processes for use in automation playbooks. 
+references: []
+app_list: 
+  - CrowdStrike OAuth API
+tags:
+  platform_tags:
+    - "host name"
+    - "device id"
+    - "enrichment"
+    - "D3-NTA"
+    - "D3-PA"
+    - "D3-AI"
+    - "CrowdStrike_OAuth_API"
+  playbook_type: Input
+  vpe_type: Modern
+  playbook_fields: [device]
+  product:
+  - Splunk SOAR
+  use_cases:
+  - Enrichment
+  - Malware
+  - Endpoint
+  defend_technique_id: 
+  - D3-NTA
+  - D3-PA
+  - D3-AI

playbooks/CrowdStrike_OAuth_API_Executable_Denylisting.py

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+"""
+Accepts a hostname or device id as well as a file hash as input and add an indicator (IOC) for a device in Crowdstrike. We then generate an observable report as well as a Markdown formatted report. Both reports can be customized based on user preference.
+"""
+
+
+import phantom.rules as phantom
+import json
+from datetime import datetime, timedelta
+
+
+@phantom.playbook_block()
+def on_start(container):
+    phantom.debug('on_start() called')
+
+    # call 'input_filter' block
+    input_filter(container=container)
+
+    return
+
+@phantom.playbook_block()
+def input_filter(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, loop_state_json=None, **kwargs):
+    phantom.debug("input_filter() called")
+
+    ################################################################################
+    # Determines if the provided inputs are present in the dataset.
+    ################################################################################
+
+    # collect filtered artifact ids and results for 'if' condition 1
+    matched_artifacts_1, matched_results_1 = phantom.condition(
+        container=container,
+        logical_operator="and",
+        conditions=[
+            ["playbook_input:device", "!=", ""],
+            ["playbook_input:hash", "!=", ""]
+        ],
+        name="input_filter:condition_1",
+        delimiter=None)
+
+    # call connected blocks if filtered artifacts or results
+    if matched_artifacts_1 or matched_results_1:
+        format_fql(action=action, success=success, container=container, results=results, handle=handle, filtered_artifacts=matched_artifacts_1, filtered_results=matched_results_1)
+
+    return
+
+
+@phantom.playbook_block()
+def file_observables(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, loop_state_json=None, **kwargs):
+    phantom.debug("file_observables() called")
+
+    ################################################################################
+    # Format a normalized output for each host
+    ################################################################################
+
+    query_device_result_data = phantom.collect2(container=container, datapath=["query_device:action_result.data.*.device_id","query_device:action_result.data.*.hostname"], action_results=results)
+    filtered_input_0_hash = phantom.collect2(container=container, datapath=["filtered-data:input_filter:condition_1:playbook_input:hash"])
+    upload_indicator_result_data = phantom.collect2(container=container, datapath=["upload_indicator:action_result.status","upload_indicator:action_result.message"], action_results=results)
+
+    query_device_result_item_0 = [item[0] for item in query_device_result_data]
+    query_device_result_item_1 = [item[1] for item in query_device_result_data]
+    filtered_input_0_hash_values = [item[0] for item in filtered_input_0_hash]
+    upload_indicator_result_item_0 = [item[0] for item in upload_indicator_result_data]
+    upload_indicator_result_message = [item[1] for item in upload_indicator_result_data]
+
+    file_observables__observable_array = None
+
+    ################################################################################
+    ## Custom Code Start
+    ################################################################################
+
+    file_observables__observable_array = []
+
+    for device_id, hostname, file_hash, status, status_message in zip(query_device_result_item_0, query_device_result_item_1, filtered_input_0_hash_values, upload_indicator_result_item_0, upload_indicator_result_message):
+        # Initialize the observable dictionary
+        observable = {
+            "source": "Crowdstrike OAuth API",
+            "type": "Endpoint",
+            "activity_name": "File Execution Prevention",
+            "uid": device_id,
+            "hostname": hostname,
+            "status": status,
+            "status_detail": status_message,
+            "file": {
+                "hashes": [
+                    {
+                        "algorithm": "SHA-256",
+                        "algorithm_id": 3,
+                        "value": file_hash 
+                    }
+                ]
+            },
+            "d3fend": {
+                "d3f_tactic": "Isolate",
+                "d3f_technique": "D3-EDL",
+                "version": "1.0.0"
+            }
+        }   
+
+        # Add the observable to the array
+        file_observables__observable_array.append(observable)
+
+    # Debug output for verification
+    phantom.debug(file_observables__observable_array)
+
+    ################################################################################
+    ## Custom Code End
+    ################################################################################
+
+    phantom.save_run_data(key="file_observables:observable_array", value=json.dumps(file_observables__observable_array))
+
+    return
+
+
+@phantom.playbook_block()
+def format_fql(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, loop_state_json=None, **kwargs):
+    phantom.debug("format_fql() called")
+
+    ################################################################################
+    # Format the FQL query to get the input device information using its ID or hostname.
+    ################################################################################
+
+    template = """%%\nhostname:['{0}'],device_id:['{0}']\n%%"""
+
+    # parameter list for template variable replacement
+    parameters = [
+        "playbook_input:device"
+    ]
+
+    ################################################################################
+    ## Custom Code Start
+    ################################################################################
+
+    # Write your custom code here...
+
+    ################################################################################
+    ## Custom Code End
+    ################################################################################
+
+    phantom.format(container=container, template=template, parameters=parameters, name="format_fql")
+
+    query_device(container=container)
+
+    return
+
+
+@phantom.playbook_block()
+def query_device(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, loop_state_json=None, **kwargs):
+    phantom.debug("query_device() called")
+
+    # phantom.debug('Action: {0} {1}'.format(action['name'], ('SUCCEEDED' if success else 'FAILED')))
+
+    ################################################################################
+    # Get information about the device to unquarantine using its hostname or device 
+    # id.
+    ################################################################################
+
+    format_fql__as_list = phantom.get_format_data(name="format_fql__as_list")
+
+    parameters = []
+
+    # build parameters list for 'query_device' call
+    for format_fql__item in format_fql__as_list:
+        parameters.append({
+            "limit": 50,
+            "filter": format_fql__item,
+        })
+
+    ################################################################################
+    ## Custom Code Start
+    ################################################################################
+
+    # Write your custom code here...
+
+    ################################################################################
+    ## Custom Code End
+    ################################################################################
+
+    phantom.act("query device", parameters=parameters, name="query_device", assets=["crowdstrike_oauth_api"], callback=upload_indicator)
+
+    return
+
+
+@phantom.playbook_block()
+def format_executable_denylisting_report(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, loop_state_json=None, **kwargs):
+    phantom.debug("format_executable_denylisting_report() called")
+
+    ################################################################################
+    # Format a summary table with the information gathered from the playbook.
+    ################################################################################
+
+    template = """Endpoint Files were denylisted by Splunk SOAR. The table below summarizes the information gathered.\n\n| Device ID | Executable Hash | Action | Denylisting Status | Message |\n| --- | --- | --- | --- | --- |\n%%\n| {0} | {1} | {2} | {3} | {4} |\n%%"""
+
+    # parameter list for template variable replacement
+    parameters = [
+        "query_device:action_result.data.*.device_id",
+        "filtered-data:input_filter:condition_1:playbook_input:hash",
+        "upload_indicator:action_result.parameter.action",
+        "upload_indicator:action_result.status",
+        "upload_indicator:action_result.message"
+    ]
+
+    ################################################################################
+    ## Custom Code Start
+    ################################################################################
+
+    # Write your custom code here...
+
+    ################################################################################
+    ## Custom Code End
+    ################################################################################
+
+    phantom.format(container=container, template=template, parameters=parameters, name="format_executable_denylisting_report")
+
+    file_observables(container=container)
+
+    return
+
+
+@phantom.playbook_block()
+def upload_indicator(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, loop_state_json=None, **kwargs):
+    phantom.debug("upload_indicator() called")
+
+    # phantom.debug('Action: {0} {1}'.format(action['name'], ('SUCCEEDED' if success else 'FAILED')))
+
+    ################################################################################
+    # Upload indicator that we want CrowdStrike to prevent and watch for all platforms.
+    ################################################################################
+
+    filtered_input_0_hash = phantom.collect2(container=container, datapath=["filtered-data:input_filter:condition_1:playbook_input:hash"])
+
+    parameters = []
+
+    # build parameters list for 'upload_indicator' call
+    for filtered_input_0_hash_item in filtered_input_0_hash:
+        if filtered_input_0_hash_item[0] is not None:
+            parameters.append({
+                "ioc": filtered_input_0_hash_item[0],
+                "action": "prevent",
+                "source": "IOC uploaded via Splunk SOAR",
+                "severity": "MEDIUM",
+                "platforms": "linux,mac,windows",
+                "description": "File Indicator blocked from Splunk SOAR",
+            })
+
+    ################################################################################
+    ## Custom Code Start
+    ################################################################################
+
+    # Write your custom code here...
+
+    ################################################################################
+    ## Custom Code End
+    ################################################################################
+
+    phantom.act("upload indicator", parameters=parameters, name="upload_indicator", assets=["crowdstrike_oauth_api"], callback=format_executable_denylisting_report)
+
+    return
+
+
+@phantom.playbook_block()
+def on_finish(container, summary):
+    phantom.debug("on_finish() called")
+
+    format_executable_denylisting_report = phantom.get_format_data(name="format_executable_denylisting_report")
+    file_observables__observable_array = json.loads(_ if (_ := phantom.get_run_data(key="file_observables:observable_array")) != "" else "null")  # pylint: disable=used-before-assignment
+
+    output = {
+        "observable": file_observables__observable_array,
+        "markdown_report": format_executable_denylisting_report,
+    }
+
+    ################################################################################
+    ## Custom Code Start
+    ################################################################################
+
+    # Write your custom code here...
+
+    ################################################################################
+    ## Custom Code End
+    ################################################################################
+
+    phantom.save_playbook_output_data(output=output)
+
+    return

playbooks/CrowdStrike_OAuth_API_Executable_Denylisting.yml

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+name: CrowdStrike OAuth API Executable Denylisting
+id: 9d87f2d5-2578-4f39-9eee-c1a88af658bb
+version: 1
+date: '2025-06-09'
+author: Christian Cloutier, Splunk
+type: Response
+description: "Accepts a hostname or device id as well as a file hash as input and add an indicator (IOC) for a device in Crowdstrike. We then generate an observable report as well as a Markdown formatted report. Both reports can be customized based on user preference."
+playbook: CrowdStrike_OAuth_API_Executable_Denylisting
+how_to_implement: This input playbook requires the CrowdStrike OAuth API connector to be configured. It is designed to work with an endpoint hostname or device id and create an indicator in CrowdStrike Falcon based on the malicious process hash value (preventing it from running on other endpoints) for use in automation playbooks. 
+references: []
+app_list: 
+  - CrowdStrike OAuth API
+tags:
+  platform_tags:
+    - "host name"
+    - "device id"
+    - "file_hash"
+    - "Executable Denylisting"
+    - "D3-EDL"
+    - "CrowdStrike_OAuth_API"
+  playbook_type: Input
+  vpe_type: Modern
+  playbook_fields: [device,file_hash]
+  product:
+  - Splunk SOAR
+  use_cases:
+  - Response
+  - Malware
+  - Endpoint
+  defend_technique_id: 
+  - D3-EDL