Read Email Body

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Read Email Body

L1 Bithead

I am trying to write a playbook that will read the email body and understand what the email is related to base on keywords or patterns. Is there a script or integration that could do that? My best idea is to use Machine Learning for it, but I am not sure it will work. Thank you 

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L5 Sessionator

Hi @axespera, the ML model for email body analysis works best if there is existing classified content for it to learn from. Refer - https://docs.paloaltonetworks.com/cortex/cortex-xsoar/6-9/cortex-xsoar-admin/machine-learing-models/... to see how it works once configured correctly.

 

If you want to do this without ML. I have previously done this with the help of a tags fields and playbook. The playbook checked the emails body for a list of keyword matches. Ex. if it contained un-subscribe the playbook would add "newsletter" to the tags fields. We had conditional check for multiple keywords with tags added for promotional, offer, financial, credential and newsletter. We then had a secondary playbook that checked for combination of tags. We also had tags added from the other parts of the email like the header.

Screen Shot 2022-11-11 at 12.55.30 pm.pngIncident_Tagging_-_Email_Header_Fri_Nov_11_2022.png

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L5 Sessionator

Hi @axespera, the ML model for email body analysis works best if there is existing classified content for it to learn from. Refer - https://docs.paloaltonetworks.com/cortex/cortex-xsoar/6-9/cortex-xsoar-admin/machine-learing-models/... to see how it works once configured correctly.

 

If you want to do this without ML. I have previously done this with the help of a tags fields and playbook. The playbook checked the emails body for a list of keyword matches. Ex. if it contained un-subscribe the playbook would add "newsletter" to the tags fields. We had conditional check for multiple keywords with tags added for promotional, offer, financial, credential and newsletter. We then had a secondary playbook that checked for combination of tags. We also had tags added from the other parts of the email like the header.

Screen Shot 2022-11-11 at 12.55.30 pm.pngIncident_Tagging_-_Email_Header_Fri_Nov_11_2022.png

Hi @jfernandes1 Thank you, my understanding is that with machine learning it would check for malicious words to make the decision, would you know if with the classifier I could make it just check if the words are business related or not instead of malicious or not? Also, I liked what you did with the tags. 

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