Use this playbook to investigate malicious files detected in Office 365. The following steps give you a walkthrough of the actions, tasks, and subflows that are available in the Office 365 Malicious File Detected
playbook.
Before you begin
Role required:
- sn_si.admin
- flow_designer
Procedure
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When the playbook is triggered and starts executing, in Action 1, you need to extract the malicious file from the Office 365 console.
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In Action 2, you need to analyze whether the file or hash has been added as an observable in the Threat Intel Platform.
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In Action 3, you need to investigate the file name and path to determine whether it is a known or non-malicious file/application.
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In Action 4, you need to submit the file to Sandbox for analyzing the results.
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In Action 5, based on the investigation done so far, you need to check whether the file or hash is malicious or not.
If the file or hash isn’t malicious, a manual response task is created in Action 5 and the flow ends.
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In Action 6, if the file or hash is malicious, then Actions 7 and 8 are executed.
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In Action 7, you need to reach out to the end user for a valid business justification as to why they have a malicious file on the device.
If the file or hash is malicious, you can use the pre-existing Email Template in the playbook to email the end user asking for clarification.
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In Action 8, you need to check whether the end user provided a valid business justification or not.
If the end user provided a valid business justification, a manual response task is created in Action 5 and the flow ends.
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In Action 9, if the user didn’t provide a valid business justification then Actions 10, 11, and 12 are executed.
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In Action 10, since there was no valid business justification, you can forward the malicious file or hash to the Threat Intel Team for review.
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In Action 11, you need to run the Malware bytes scanner script to check if the file or hash is malicious.
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In Action 12, you need to perform a Forensic Analysis to check if the file or hash is malicious.
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In Action 13, a response task is created for the user to complete the post-incident review before closing the task.