def CalcPreCompromiseTime(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
phantom.debug('CalcPreCompromiseTime() called')
filtered_artifacts_data_0 = phantom.collect2(container=container, datapath=['filtered-data:MultiArtifact_StartTime:condition_1:artifact:*.cef.startTime'])
literal_values_0 = [
[
-5,
"days",
],
]
parameters = []
for item0 in filtered_artifacts_data_0:
for item1 in literal_values_0:
parameters.append({
'input_datetime': item0[0],
'amount_to_modify': item1[0],
'modification_unit': item1[1],
'input_format_string': None,
'output_format_string': None,
})
################################################################################
## Custom Code Start
################################################################################
# Write your custom code here...
################################################################################
## Custom Code End
################################################################################
# call custom function "community/datetime_modify", returns the custom_function_run_id
phantom.custom_function(custom_function='community/datetime_modify', parameters=parameters, name='CalcPreCompromiseTime', callback=ConvertCompromiseTimeFormat)
return
def enumerate_files_to_delete(action=None,
success=None,
container=None,
results=None,
handle=None,
filtered_artifacts=None,
filtered_results=None,
custom_function=None,
**kwargs):
phantom.debug("enumerate_files_to_delete() called")
parameters = []
parameters.append({
"input_1": "log4j_hosts_and_files",
"input_2": None,
"input_3": None,
"input_4": None,
"input_5": None,
"input_6": None,
"input_7": None,
"input_8": None,
"input_9": None,
"input_10": None,
})
################################################################################
## Custom Code Start
################################################################################
# use custom code to read a custom list of potential log4j files to delete
# and make a json to create an artifact for each one.
# the expected format of the custom list is:
# hostname1 | unix | /full/path/to/delete/on/hostname_1
# 1.1.1.1 | windows | C:\\Full\Path\To\Delete\On\1_1_1_1
#
# the list can either have all rows with files or no rows with files. some rows with files and some without will not work
custom_list_name = parameters[0]['input_1']
success, message, rows = phantom.get_list(list_name=custom_list_name)
# return early if the list is not found
if not success:
phantom.debug(
"Failed to find the custom list, so only existing artifacts will be used"
)
phantom.custom_function(custom_function="community/passthrough",
parameters=[],
name="enumerate_files_to_delete",
callback=create_file_artifacts)
return
# loop through the rows and create a list of artifact jsons to add
# the three columns are expected to be the ip_or_hostname, the operating system family, and the full path to the file to delete
parameters = []
unix_hosts = []
windows_hosts = []
unknown_hosts = []
has_files = False
if rows[0][2] and ('/' in rows[0][2] or '\\' in rows[0][2]):
has_files = True
for row in rows:
# hostname and operating system are required, but file path is optional. files will not be deleted if file path is missing
if row[0] and row[1]:
# only windows and unix are supported, and operating system family is required
if row[1] == 'unix' or row[1] == 'windows':
artifact_dict = {
'cef_data': {
'deviceHostname': row[0],
'operatingSystemFamily': row[1],
'filePath': row[2]
},
'field_mapping': {
'deviceHostname': ['host name', 'ip'],
'filePath': ['file path']
}
}
# full paths should have at least one slash somewhere in them
if row[2] and ('/' in row[2] or '\\' in row[2]):
if has_files:
artifact_dict['cef_data']['filePath'] = row[2]
artifact_dict['field_mapping']['filePath'] = [
'file path'
]
else:
phantom.debug(
"skipping host {} with file {} because other rows did not have files"
.format(row[0], row[2]))
else:
if has_files:
phantom.error(
"host {} is missing a file; playbook will be discontinued"
.format(row[0]))
phantom.discontinue()
parameters.append({'input_1': artifact_dict})
################################################################################
## Custom Code End
################################################################################
phantom.custom_function(custom_function="community/passthrough",
parameters=parameters,
name="enumerate_files_to_delete",
callback=create_file_artifacts)
return
def cf_rba_master_add_artifact_with_tags_1(action=None,
success=None,
container=None,
results=None,
handle=None,
filtered_artifacts=None,
filtered_results=None,
custom_function=None,
**kwargs):
phantom.debug('cf_rba_master_add_artifact_with_tags_1() called')
container_property_0 = [
[
container.get("id"),
],
]
formatted_data_0 = [
[
phantom.get_format_data(name="format_4"),
],
]
literal_values_0 = [
[
"Extracted IPv4 address",
"risk_rule",
"low",
"{\"threat_object\": [\"ip\"]}",
"True",
],
]
parameters = []
for item0 in formatted_data_0:
for item1 in literal_values_0:
for item2 in container_property_0:
parameters.append({
'cef': item0[0],
'name': item1[0],
'tags': None,
'label': item1[1],
'severity': item1[2],
'container_id': item2[0],
'field_mapping': item1[3],
'run_automation': item1[4],
})
################################################################################
## Custom Code Start
################################################################################
# Write your custom code here...
################################################################################
## Custom Code End
################################################################################
# call custom function "rba-master/add_artifact_with_tags", returns the custom_function_run_id
phantom.custom_function(
custom_function='rba-master/add_artifact_with_tags',
parameters=parameters,
name='cf_rba_master_add_artifact_with_tags_1')
return
def parse_risk_results_1(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
phantom.debug("parse_risk_results_1() called")
run_risk_rule_query_result_data = phantom.collect2(container=container, datapath=["run_risk_rule_query:action_result.data","run_risk_rule_query:action_result.parameter.context.artifact_id"], action_results=results)
run_risk_rule_query_result_item_0 = [item[0] for item in run_risk_rule_query_result_data]
parameters = []
parameters.append({
"input_1": run_risk_rule_query_result_item_0,
"input_2": None,
"input_3": None,
"input_4": None,
"input_5": None,
"input_6": None,
"input_7": None,
"input_8": None,
"input_9": None,
"input_10": None,
})
################################################################################
## Custom Code Start
################################################################################
from dateutil.parser import parse
from django.utils.dateparse import parse_datetime
import re
search_json = run_risk_rule_query_result_item_0[0]
# overwrite parameters
parameters = []
# Helper recursive function to flatten nested lists
def flatten(input_list):
if not input_list:
return input_list
if isinstance(input_list[0], list):
return flatten(input_list[0]) + flatten(input_list[1:])
return input_list[:1] + flatten(input_list[1:])
# Declare dictionary for cim to cef translation
# adjust as needed
cim_cef = {
"action": "act",
"action_name": "act",
"app": "app",
"bytes_in": "bytesIn",
"bytes_out": "bytesOut",
"category": "cat",
"dest": "destinationAddress",
"dest_ip": "destinationAddress",
"dest_mac": "destinationMacAddress",
"dest_nt_domain": "destinationNtDomain",
"dest_port": "destinationPort",
"dest_translated_ip": "destinationTranslatedAddress",
"dest_translated_port": "destinationTranslatedPort",
"direction": "deviceDirection",
"dns": "destinationDnsDomain",
"dvc": "dvc",
"dvc_ip": "deviceAddress",
"dvc_mac": "deviceMacAddress",
"file_create_time": "fileCreateTime",
"file_hash": "fileHash",
"file_modify_time": "fileModificationTime",
"file_name": "fileName",
"file_path": "filePath",
"file_size": "fileSize",
"message": "message",
"protocol": "transportProtocol",
"request_payload": "request",
"request_payload_type": "requestMethod",
"src": "sourceAddress",
"src_dns": "sourceDnsDomain",
"src_ip": "sourceAddress",
"src_mac": "sourceMacAddress",
"src_nt_domain": "sourceNtDomain",
"src_port": "sourcePort",
"src_translated_ip": "sourceTranslatedAddress",
"src_translated_port": "sourceTranslatedPort",
"src_user": "******",
"transport": "transportProtocol",
"url": "requestURL",
"user": "******",
"user_id": "destinationUserId",
}
# Iterate through Splunk search results
for index, artifact_json in enumerate(search_json):
field_mapping = {}
for k,v in artifact_json.items():
tags = []
# Swap CIM for CEF values
if k.lower() in cim_cef.keys():
if k.lower() == 'dest':
# if 'dest' matches an IP, use 'dest', otherwise use 'destinationHostName'
if re.match('(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)', k):
artifact_json[cim_cef[k]] = artifact_json.pop(k)
else:
artifact_json['destinationHostName'] = artifact_json.pop(k)
elif k.lower() == 'src':
# if 'src' matches an IP, use 'src', otherwise use 'sourceHostName'
if re.match('(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)', k):
artifact_json[cim_cef[k]] = artifact_json.pop(k)
else:
artifact_json['sourceHostName'] = artifact_json.pop(k)
else:
artifact_json[cim_cef[k.lower()]] = artifact_json.pop(k)
for k,v in artifact_json.items():
if type(v) == list:
artifact_json[k] = ", ".join(flatten(v))
# Swap risk_message for description
if 'risk_message' in artifact_json.keys():
artifact_json['description'] = artifact_json.pop('risk_message')
# Make _time easier to read
if '_time' in artifact_json.keys():
timestring = parse(artifact_json['_time'])
artifact_json['_time'] = "{} {}".format(timestring.date(), timestring.time())
# Add threat_object_type to threat_object field_mapping
if 'threat_object' in artifact_json.keys() and 'threat_object_type' in artifact_json.keys():
field_mapping['threat_object'] = [artifact_json['threat_object_type']]
# Set the underlying data type in field mapping based on the risk_object_type
if 'risk_object' in artifact_json.keys() and 'risk_object_type' in artifact_json.keys():
if 'user' in artifact_json['risk_object_type']:
field_mapping['risk_object'] = ["user name"]
elif artifact_json['risk_object_type'] == 'system':
field_mapping['risk_object'] = ["host name", "hostname"]
else:
field_mapping['risk_object'] = artifact_json['risk_object_type']
# Extract tags
if 'rule_attack_tactic_technique' in artifact_json.keys():
for match in re.findall('(^|\|)(\w+)\s+',artifact_json['rule_attack_tactic_technique']):
tags.append(match[1])
tags=list(set(tags))
# Final setp is to build the output. This is reliant on the source field existing which should be present in all Splunk search results
if 'source' in artifact_json.keys():
if index < len(search_json[0]) - 1:
name = artifact_json.pop('source')
parameters.append({'input_1': json.dumps({'cef_data': artifact_json, 'tags': tags, 'name': name, 'field_mapping': field_mapping, 'run_automation': False})})
else:
name = artifact_json.pop('source')
parameters.append({'input_1': json.dumps({'cef_data': artifact_json, 'tags': tags, 'name': name, 'field_mapping': field_mapping, 'run_automation': True})})
################################################################################
## Custom Code End
################################################################################
phantom.custom_function(custom_function="community/passthrough", parameters=parameters, name="parse_risk_results_1", callback=create_risk_artifacts)
return
def cf_rba_master_add_artifact_with_tags_1(action=None,
success=None,
container=None,
results=None,
handle=None,
filtered_artifacts=None,
filtered_results=None,
custom_function=None,
**kwargs):
phantom.debug('cf_rba_master_add_artifact_with_tags_1() called')
custom_function_result_0 = phantom.collect2(
container=container,
datapath=[
'cf_rba_master_parse_risk_results_1:custom_function_result.data.*.artifact.cef',
'cf_rba_master_parse_risk_results_1:custom_function_result.data.*.artifact.name',
'cf_rba_master_parse_risk_results_1:custom_function_result.data.*.artifact.tags'
],
action_results=results)
container_property_0 = [
[
container.get("id"),
],
]
literal_values_0 = [
[
"risk_rule",
"informational",
"True",
],
]
parameters = []
for item0 in custom_function_result_0:
for item1 in literal_values_0:
for item2 in container_property_0:
parameters.append({
'cef': item0[0],
'name': item0[1],
'tags': item0[2],
'label': item1[0],
'severity': item1[1],
'container_id': item2[0],
'run_automation': item1[2],
})
################################################################################
## Custom Code Start
################################################################################
# Write your custom code here...
################################################################################
## Custom Code End
################################################################################
# call custom function "rba-master/add_artifact_with_tags", returns the custom_function_run_id
phantom.custom_function(
custom_function='rba-master/add_artifact_with_tags',
parameters=parameters,
name='cf_rba_master_add_artifact_with_tags_1')
return
def write_embedded_bash_script_to_vault(action=None,
success=None,
container=None,
results=None,
handle=None,
filtered_artifacts=None,
filtered_results=None,
custom_function=None,
**kwargs):
phantom.debug("write_embedded_bash_script_to_vault() called")
parameters = []
parameters.append({
"input_1": None,
"input_2": None,
"input_3": None,
"input_4": None,
"input_5": None,
"input_6": None,
"input_7": None,
"input_8": None,
"input_9": None,
"input_10": None,
})
################################################################################
## Custom Code Start
################################################################################
bash_script = r"""
#!/bin/bash
# This script is part of the Splunk SOAR playbook called internal_host_ssh_log4j_investigate. It gathers
# system information as part of a unix endpoint investigation. The output is a human-readable log and a
# set of .csv files to be copied back to SOAR
echo "##############################################################"
echo "splunk_soar_internal_host_ssh_investigate.sh"
echo "##############################################################"
echo ""
echo "[+] Basic system configuration:"
echo "key,value" > /tmp/basic_system_configuration.csv
echo "hostname: $(uname -n | tr -d "\n")"
echo "hostname,$(uname -n | tr -d "\n")" >> /tmp/basic_system_configuration.csv
echo "current time: $(date +%F_%T)"
echo "current time,$(date +%F_%T)" >> /tmp/basic_system_configuration.csv
echo "IP address: $(ifconfig | grep -Eo 'inet (addr:)?([0-9]*\.){3}[0-9]*' | grep -Eo '([0-9]*\.){3}[0-9]*' | grep -v '127.0.0.1' | tr '\n' ' ')"
echo "IP address,$(ifconfig | grep -Eo 'inet (addr:)?([0-9]*\.){3}[0-9]*' | grep -Eo '([0-9]*\.){3}[0-9]*' | grep -v '127.0.0.1' | tr '\n' ' ')" >> /tmp/basic_system_configuration.csv
echo "OS release: $(cat /etc/*release | sort -u | tr "\n" ";")"
echo "OS release,$(cat /etc/*release | sort -u | tr "\n" ";")" >> /tmp/basic_system_configuration.csv
echo "OS issue: $(cat /etc/issue)"
echo "OS issue,$(cat /etc/issue)" >> /tmp/basic_system_configuration.csv
echo "OS kernel: $(uname -a)"
echo "OS kernel,$(uname -a)" >> /tmp/basic_system_configuration.csv
echo ""
echo "USER,PID,%CPU,%MEM,VSZ,RSS,TTY,STAT,START,TIME,COMMAND" > /tmp/process_list.csv
echo "$(ps aux)" >> /tmp/process_list.csv
echo "[+] Process list:"
echo "$(ps aux)"
echo ""
echo "UNIT,LOAD,ACTIVE,SUB,DESCRIPTION" > /tmp/service_list.csv
echo "$(systemctl)" >> /tmp/service_list.csv
echo "[+] Service list:"
echo "$(systemctl)"
echo ""
echo "$(last -a)" > /tmp/login_history.csv
echo "[+] login history:"
echo "$(last -a)"
echo ""
echo "$(ss -tunapl)" > /tmp/open_sockets.csv
echo "[+] Open sockets:"
echo "$(ss -tunapl)"
echo ""
echo "cron_job" > /tmp/cron_jobs.csv
echo "$(for user in $(cut -f1 -d: /etc/passwd); do crontab -u $user -l 2>/dev/null | grep -v '^#'; done)" >> /tmp/cron_jobs.csv
echo "[+] Cron jobs:"
echo "$(for user in $(cut -f1 -d: /etc/passwd); do crontab -u $user -l 2>/dev/null | grep -v '^#'; done)"
echo ""
echo "[+] Zip up the outputs ..."
zip -j /tmp/$1_ssh_output.zip /tmp/basic_system_configuration.csv /tmp/process_list.csv /tmp/service_list.csv /tmp/login_history.csv /tmp/open_sockets.csv /tmp/cron_jobs.csv
echo "wrote zip file to /tmp/$1_ssh_output.zip; next we will copy it back to SOAR"
"""
file_name = 'splunk_soar_internal_host_ssh_investigate.sh'
file_path = '/opt/phantom/vault/tmp/{}'.format(file_name)
with open(file_path, 'w') as bash_script_file:
bash_script_file.write(bash_script)
success, message, vault_id = phantom.vault_add(file_location=file_path,
file_name=file_name)
parameters = [{'input_1': vault_id}]
################################################################################
## Custom Code End
################################################################################
phantom.custom_function(custom_function="community/passthrough",
parameters=parameters,
name="write_embedded_bash_script_to_vault",
callback=upload_bash_script)
return
def save_to_artifacts(action=None,
success=None,
container=None,
results=None,
handle=None,
filtered_artifacts=None,
filtered_results=None,
custom_function=None,
**kwargs):
phantom.debug("save_to_artifacts() called")
id_value = container.get("id", None)
get_unused_account_information_result_data = phantom.collect2(
container=container,
datapath=[
"get_unused_account_information:action_result.parameter.username",
"get_unused_account_information:action_result.parameter.context.artifact_id"
],
action_results=results)
parameters = []
# build parameters list for 'save_to_artifacts' call
for get_unused_account_information_result_item in get_unused_account_information_result_data:
parameters.append({
"container":
id_value,
"name":
"Unused AWS Account",
"label":
"user",
"severity":
None,
"cef_field":
"awsUserName",
"cef_value":
get_unused_account_information_result_item[0],
"cef_data_type":
"aws iam user name",
"tags":
None,
"run_automation":
"false",
"input_json":
None,
})
################################################################################
## Custom Code Start
################################################################################
# Write your custom code here...
################################################################################
## Custom Code End
################################################################################
phantom.custom_function(custom_function="community/artifact_create",
parameters=parameters,
name="save_to_artifacts",
callback=playbook_aws_disable_user_accounts_1)
return
def container_update_info(action=None,
success=None,
container=None,
results=None,
handle=None,
filtered_artifacts=None,
filtered_results=None,
custom_function=None,
**kwargs):
phantom.debug("container_update_info() called")
id_value = container.get("id", None)
filtered_artifact_0_data_event_id_filter = phantom.collect2(
container=container,
datapath=[
"filtered-data:event_id_filter:condition_1:artifact:*.cef.urgency",
"filtered-data:event_id_filter:condition_1:artifact:*.cef.source"
],
scope="all")
format_event_name = phantom.get_format_data(name="format_event_name")
parameters = []
# build parameters list for 'container_update_info' call
for filtered_artifact_0_item_event_id_filter in filtered_artifact_0_data_event_id_filter:
parameters.append({
"name":
format_event_name,
"tags":
None,
"label":
None,
"owner":
None,
"status":
None,
"severity":
filtered_artifact_0_item_event_id_filter[0],
"input_json":
None,
"description":
filtered_artifact_0_item_event_id_filter[1],
"sensitivity":
None,
"container_input":
id_value,
})
################################################################################
## Custom Code Start
################################################################################
# Write your custom code here...
################################################################################
## Custom Code End
################################################################################
phantom.custom_function(custom_function="community/container_update",
parameters=parameters,
name="container_update_info",
callback=artifact_update_severity)
return
def update_investigate_task(action=None,
success=None,
container=None,
results=None,
handle=None,
filtered_artifacts=None,
filtered_results=None,
custom_function=None,
**kwargs):
phantom.debug("update_investigate_task() called")
id_value = container.get("id", None)
risk_notable_enrich_output_note_title = phantom.collect2(
container=container,
datapath=["risk_notable_enrich:playbook_output:note_title"])
risk_notable_enrich_output_note_content = phantom.collect2(
container=container,
datapath=["risk_notable_enrich:playbook_output:note_content"])
parameters = []
# build parameters list for 'update_investigate_task' call
for risk_notable_enrich_output_note_title_item in risk_notable_enrich_output_note_title:
for risk_notable_enrich_output_note_content_item in risk_notable_enrich_output_note_content:
parameters.append({
"owner":
None,
"status":
None,
"container":
id_value,
"task_name":
"Investigate",
"note_title":
risk_notable_enrich_output_note_title_item[0],
"note_content":
risk_notable_enrich_output_note_content_item[0],
})
################################################################################
## Custom Code Start
################################################################################
parameters = []
for idx, title_item in enumerate(risk_notable_enrich_output_note_title):
parameters.append({
"owner":
None,
"status":
None,
"container":
id_value,
"task_name":
"Investigate",
"note_title":
risk_notable_enrich_output_note_title[idx][0],
"note_content":
risk_notable_enrich_output_note_content[idx][0],
})
################################################################################
## Custom Code End
################################################################################
phantom.custom_function(custom_function="community/workbook_task_update",
parameters=parameters,
name="update_investigate_task")
return
def process_responses(action=None,
success=None,
container=None,
results=None,
handle=None,
filtered_artifacts=None,
filtered_results=None,
custom_function=None,
**kwargs):
phantom.debug("process_responses() called")
select_indicators_result_data = phantom.collect2(
container=container,
datapath=[
"select_indicators:action_result.summary.responses",
"select_indicators:action_result.parameter.context.artifact_id"
],
action_results=results)
get_suspect_indicators_data = phantom.collect2(
container=container,
datapath=[
"get_suspect_indicators:custom_function_result.data.*.indicator_id"
])
select_indicators_summary_responses = [
item[0] for item in select_indicators_result_data
]
get_suspect_indicators_data___indicator_id = [
item[0] for item in get_suspect_indicators_data
]
parameters = []
parameters.append({
"input_1": select_indicators_summary_responses,
"input_2": get_suspect_indicators_data___indicator_id,
"input_3": None,
"input_4": None,
"input_5": None,
"input_6": None,
"input_7": None,
"input_8": None,
"input_9": None,
"input_10": None,
})
################################################################################
## Custom Code Start
################################################################################
responses = select_indicators_summary_responses[0]
# overwrite parameters
parameters = []
# merge responses with data
for response, indicator_id in zip(
responses, get_suspect_indicators_data___indicator_id):
parameters.append(
{'input_1': {
'indicator_id': indicator_id,
'response': response
}})
################################################################################
## Custom Code End
################################################################################
phantom.custom_function(custom_function="community/passthrough",
parameters=parameters,
name="process_responses",
callback=response_filter)
return
def process_responses(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
phantom.debug("process_responses() called")
threat_intel_indicator_review_result_data = phantom.collect2(container=container, datapath=["threat_intel_indicator_review:action_result.summary.responses","threat_intel_indicator_review:action_result.parameter.context.artifact_id"], action_results=results)
collect_all_indicators_data_all_indicators = phantom.collect2(container=container, datapath=["collect_all_indicators:custom_function_result.data.all_indicators.*.cef_value"])
threat_intel_indicator_review_summary_responses = [item[0] for item in threat_intel_indicator_review_result_data]
collect_all_indicators_data_all_indicators___cef_value = [item[0] for item in collect_all_indicators_data_all_indicators]
parameters = []
parameters.append({
"input_1": threat_intel_indicator_review_summary_responses,
"input_2": collect_all_indicators_data_all_indicators___cef_value,
"input_3": None,
"input_4": None,
"input_5": None,
"input_6": None,
"input_7": None,
"input_8": None,
"input_9": None,
"input_10": None,
})
################################################################################
## Custom Code Start
################################################################################
responses = threat_intel_indicator_review_summary_responses[0]
indicator_values = collect_all_indicators_data_all_indicators___cef_value
# lookup table to turn prompt responses into tags to add. "Do nothing" is not included, so no tags will be added
response_to_tag_map = {
"Tag to block": "marked_for_block",
"Tag as safe": "safe"
}
# overwrite the parameters list with a list of one indicator and one tag per parameter dictionary
parameters = []
for indicator_index, indicator_value in enumerate(indicator_values):
preconfigured_response = responses[indicator_index * 2]
freeform_response = responses[indicator_index * 2 + 1]
# handle the preconfigured responses
if preconfigured_response in response_to_tag_map:
phantom.comment(comment="Tagging the indicator {} with the preconfigured tag {}".format(indicator_value, response_to_tag_map[preconfigured_response]))
parameters.append({"input_1": [indicator_value, response_to_tag_map[preconfigured_response]]})
elif preconfigured_response != 'Do nothing':
phantom.error('The response {} was chosen for the indicator {}, but that response is not in the set of allowed responses.'.format(preconfigured_response, indicator_value))
# handle the freeform responses
if freeform_response.lower() not in ['n', 'none', 'na', 'n/a']:
freeform_tags = freeform_response.replace(' ','').split(',')
for tag in freeform_tags:
phantom.comment(comment="Tagging the indicator {} with the freeform tag {}".format(indicator_value, tag))
parameters.append({"input_1": [indicator_value, tag]})
################################################################################
## Custom Code End
################################################################################
phantom.custom_function(custom_function="community/passthrough", parameters=parameters, name="process_responses", callback=tag_indicators)
return
def enumerate_hosts(action=None,
success=None,
container=None,
results=None,
handle=None,
filtered_artifacts=None,
filtered_results=None,
custom_function=None,
**kwargs):
phantom.debug("enumerate_hosts() called")
parameters = []
parameters.append({
"input_1": "log4j_hosts",
"input_2": None,
"input_3": None,
"input_4": None,
"input_5": None,
"input_6": None,
"input_7": None,
"input_8": None,
"input_9": None,
"input_10": None,
})
################################################################################
## Custom Code Start
################################################################################
# use custom code to read a custom list of potential log4j hosts and/or ip addresses
# and make a json to create an artifact for each one.
# the expected format of the custom list is:
# hostname1 | unix
# 1.1.1.1 | windows
custom_list_name = parameters[0]['input_1']
success, message, rows = phantom.get_list(list_name=custom_list_name)
# return early if the list is not found
if not success:
phantom.debug(
"Failed to find the custom list, so only existing artifacts will be used"
)
phantom.custom_function(custom_function="community/passthrough",
parameters=[],
name="enumerate_hosts",
callback=create_host_artifacts)
return
# loop through the rows and create a list of artifact jsons to add
# the two columns are expected to be the ip_or_hostname and the operating system family
parameters = []
unix_hosts = []
windows_hosts = []
unknown_hosts = []
for row in rows:
if row[0]:
if row[1] != 'unix' and row[1] != 'windows':
os_family = 'unknown'
else:
os_family = row[1]
artifact_dict = {
'cef_data': {
'deviceHostname': row[0],
'operatingSystemFamily': os_family
},
'field_mapping': {
'deviceHostname': ['host name', 'ip']
}
}
parameters.append({'input_1': artifact_dict})
################################################################################
## Custom Code End
################################################################################
phantom.custom_function(custom_function="community/passthrough",
parameters=parameters,
name="enumerate_hosts",
callback=create_host_artifacts)
return
def create_host_artifacts(action=None,
success=None,
container=None,
results=None,
handle=None,
filtered_artifacts=None,
filtered_results=None,
custom_function=None,
**kwargs):
phantom.debug("create_host_artifacts() called")
id_value = container.get("id", None)
enumerate_hosts_data = phantom.collect2(
container=container,
datapath=["enumerate_hosts:custom_function_result.data.*.item"],
scope="all")
parameters = []
# build parameters list for 'create_host_artifacts' call
for enumerate_hosts_data_item in enumerate_hosts_data:
parameters.append({
"name": "potential log4j host",
"tags": None,
"label": None,
"severity": "high",
"cef_field": None,
"cef_value": None,
"container": id_value,
"input_json": enumerate_hosts_data_item[0],
"cef_data_type": None,
"run_automation": None,
})
################################################################################
## Custom Code Start
################################################################################
# only operate on parameters with input_json, because thats where the data should be
parameters = [
parameter for parameter in parameters if parameter['input_json']
]
if parameters == []:
# if there are no new artifacts and no existing artifacts with deviceHostname, then stop the playbook
relevant_artifacts = phantom.collect2(
container=container, datapath=["artifact:*.cef.deviceHostname"])
if relevant_artifacts == []:
phantom.comment(
comment=
"No ip_or_hostname values to operate on; playbook discontinued"
)
phantom.error(
"No ip_or_hostname values to operate on; playbook discontinued"
)
phantom.discontinue()
################################################################################
## Custom Code End
################################################################################
phantom.custom_function(custom_function="community/artifact_create",
parameters=parameters,
name="create_host_artifacts",
callback=if_hosts_exist)
return
def add_embedded_bash_script_to_vault(action=None,
success=None,
container=None,
results=None,
handle=None,
filtered_artifacts=None,
filtered_results=None,
custom_function=None,
**kwargs):
phantom.debug("add_embedded_bash_script_to_vault() called")
parameters = []
parameters.append({
"input_1": None,
"input_2": None,
"input_3": None,
"input_4": None,
"input_5": None,
"input_6": None,
"input_7": None,
"input_8": None,
"input_9": None,
"input_10": None,
})
################################################################################
## Custom Code Start
################################################################################
bash_script = r"""
#!/bin/bash
# This script is part of the Splunk SOAR playbook called internal_host_ssh_log4j_investigate. It shows
# the installed java version, lists any running java processes, performs a search for the JndiLookup.class
# file in any .jar files found on disk, and searches any .war files for a log4j jar. The output is a human-readable
# log and a set of .csv files to be copied back to SOAR
echo "##############################################################"
echo "splunk_soar_internal_host_ssh_log4j_investigate.sh"
echo "##############################################################"
echo ""
echo "java environment configuration" > /tmp/java_environment.csv
echo "[+] Checking Java version:"
echo "$(java -version)"
echo "java version:" >> /tmp/java_environment.csv
java -version 2>> /tmp/java_environment.csv
echo ""
echo "[+] Checking running Java processes with ps:"
echo "$(ps aux | grep java)"
echo "ps java processes:" >> /tmp/java_environment.csv
echo "$(ps aux | grep java)" >> /tmp/java_environment.csv
echo ""
echo "[+] Checking running Java processes with jps:"
echo "$(jps -v)"
echo "jps java processes:" >> /tmp/java_environment.csv
echo "$(jps -v)" >> /tmp/java_environment.csv
echo "[+] Search .jar files for JndiLookup.class files ..."
echo "jar_files" > /tmp/jars_with_jndi.csv
find / 2>/dev/null -name '*.jar' -type f -print0 | xargs -0 grep JndiLookup.class | awk '{print $3}' | while read -r file
do
if [ -f "$file" ]; then
echo "JndiLookup.class found in .jar file: $file"
echo "$file" >> /tmp/jars_with_jndi.csv
fi
done
echo ""
echo "[+] Search .war files for log4j .jar files ..."
echo "war_file,jar_size,jar_time_modified,jar_file" > /tmp/wars_with_jars.csv
find / 2>/dev/null -name '*.war' -type f -print0 | xargs -0 grep log4j | awk '{print $3}' | while read -r war_file
do
if [ -f "$war_file" ]; then
unzip -l "$war_file" | grep log4j | awk '{print $1"," $2" "$3","$4}' | while read -r jar_file
do
echo ".war file $war_file was found containing the file $jar_file"
echo "$war_file,$jar_file" >> /tmp/wars_with_jars.csv
done
fi
done
echo "[+] Zip up the outputs ..."
zip -j /tmp/$1_ssh_log4j_output.zip /tmp/java_environment.csv /tmp/jars_with_jndi.csv /tmp/wars_with_jars.csv
echo "wrote zip file to /tmp/$1_ssh_log4j_output.zip; next we will copy it back to SOAR"
"""
file_name = 'splunk_soar_internal_host_ssh_log4j_investigate.sh'
file_path = '/opt/phantom/vault/tmp/{}'.format(file_name)
with open(file_path, 'w') as bash_script_file:
bash_script_file.write(bash_script)
success, message, vault_id = phantom.vault_add(file_location=file_path,
file_name=file_name)
parameters = [{'input_1': vault_id}]
################################################################################
## Custom Code End
################################################################################
phantom.custom_function(custom_function="community/passthrough",
parameters=parameters,
name="add_embedded_bash_script_to_vault",
callback=upload_bash_script)
return