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mcafee_phishing_attachment_investigate.json
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{
"blockly": false,
"blockly_xml": "<xml></xml>",
"category": "Use Cases",
"misc": { "apps_list": ["McAfee Advanced Threat Defense (ATD)", "McAfee OpenDXL", "Maxmind", "SMTP", "Passivetotal", "Servicenow"] },
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"description": "Originally written as an example playbook for BlackHat 2017, this playbook investigates a potential phishing email with a suspicious attachment. Execution starts when a suspicious email with an attachment is forwarded to an inbox which Phantom is polling. McAfee Advanced Threat Defense is used to do static and dynamic analysis on any attachments to the email. If the attachment(s) appear malicious, any IP addresses identified during the ATD detonation are used to do geolocation and IP address reputation, further enriching the data in the original container. The ATD detonation also records the hashes of files that are created or touched. McAfee Active Response is used to search within the enterprise for those hashes, and if there are any matches they are shared on the OpenDXL message fabric.",
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"block_code": "def decision_1(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None):\n phantom.debug('decision_1() called')\n\n # check for 'if' condition 1\n matched_artifacts_1, matched_results_1 = phantom.condition(\n container=container,\n conditions=[\n [\"artifact:*.cef.vaultId\", \"!=\", \"\"],\n ])\n\n # call connected blocks if condition 1 matched\n if matched_artifacts_1 or matched_results_1:\n atd_detonate_file(action=action, success=success, container=container, results=results, handle=handle)\n return\n\n return",
"callback_code": "",
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"connected_to_start": true,
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"description": "Only proceed with the playbook if the ingested email has an artifact with a vaultId, which will be present if the email has one or more file attachments.",
"hasElse": false,
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"block_code": "def geolocate_ip(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None):\n phantom.debug('geolocate_ip() called')\n \n #phantom.debug('Action: {0} {1}'.format(action['name'], ('SUCCEEDED' if success else 'FAILED')))\n \n # collect data for 'geolocate_ip' call\n filtered_results_data_1 = phantom.collect2(container=container, datapath=[\"filtered-data:filter_1:condition_1:atd_detonate_file:action_result.data.*.Summary.Ips.*.Ipv4\", \"filtered-data:filter_1:condition_1:atd_detonate_file:action_result.parameter.context.artifact_id\"])\n\n parameters = []\n \n # build parameters list for 'geolocate_ip' call\n for filtered_results_item_1 in filtered_results_data_1:\n if filtered_results_item_1[0]:\n parameters.append({\n 'ip': filtered_results_item_1[0],\n # context (artifact id) is added to associate results with the artifact\n 'context': {'artifact_id': filtered_results_item_1[1]},\n })\n\n phantom.act(\"geolocate ip\", parameters=parameters, assets=['maxmind'], name=\"geolocate_ip\")\n\n return",
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"description": "Enrich the container with the geolocation of any IP addresses found in the detonation to inform any further analysis.",
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