Delete gsuite_email_suspicious_subject_with_attachment.yml

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tccontre
2021-08-23 15:44:42 +02:00
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commit 191dcaae3a
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name: Gsuite Email Suspicious Subject With Attachment
id: 8ef3971e-00f2-11ec-b54f-acde48001122
version: 1
date: '2021-08-19'
author: Teoderick Contreras, Splunk
type: Anomaly
datamodel:
- Endpoint
- Email
- Updates
description: This search is to detect a gsuite email contains suspicious subject having known file type used in spear phishing.
This technique is a common and effective entry vector of attacker to compromise a network by luring the user to click or execute the suspicious attachment
send from external email account because of the effective social engineering of subject related to delivery, bank and so on.
On the other hand this detection may catch a normal email traffic related to legitimate transaction so better to check the email sender, spelling and etc.
avoid click link or opening the attachment if you are not expecting this type of e-mail.
search: '`gsuite_gmail` num_message_attachments > 0
subject IN ("*dhl*", "* ups *”, “*delivery*”, “*parcel*”, “*label*”, “*invoice*”, “*postal*”, “* fedex *”, “* usps *”, “* express *”, “*shipment*”, “*Banking/Tax*”,”*shipment*”, “*new order*”)
attachment{}.file_extension_type IN ("doc", "docx", "xls", "xlsx", "ppt", "pptx", "pdf", "zip", "rar”, “html”,”htm”,”hta”)
| rex field=source.from_header_address "[^@]+@(?<source_domain>[^@]+)"
| rex field=destination{}.address "[^@]+@(?<dest_domain>[^@]+)"
| where not source_domain="internal_test_email.com" and dest_domain="internal_test_email.com"
| stats count min(_time) as firstTime max(_time) as lastTime values(attachment{}.file_extension_type) as email_attachments, values(attachment{}.sha256) as attachment_sha256, values(payload_size) as payload_size by
destination{}.service num_message_attachments subject destination{}.address source.address
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `gsuite_email_suspicious_subject_with_attachment_filter`'
how_to_implement: To successfully implement this search, you need to be ingesting
logs related to gsuite having the file attachment metadata like file type, file
extension, source email, destination email, num of attachment and etc.
known_false_positives: normal user or normal transaction may contain the subject and file type attachment that
this detection try to search.
references:
- https://www.redhat.com/en/topics/devops/what-is-devsecops
- https://www.fireeye.com/content/dam/fireeye-www/global/en/current-threats/pdfs/rpt-top-spear-phishing-words.pdf
tags:
analytic_story:
- DevSecOps
dataset:
- https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/t1566.001/gsuite_susp_subj/gsuite_susp_subj_attach.log
kill_chain_phases:
- Exploitation
mitre_attack_id:
- T1566.001
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
required_fields:
- _time
security_domain: endpoint
impact: 50
confidence: 50
# (impact * confidence)/100
risk_score: 25
context:
- Source:Endpoint
- Stage:Reconnaissance
message: suspicious email from $source.address$ to $destination{}.address$
observable:
- name: source.address
type: User
role:
- attacker
- name: destination{}.address
type: User
role:
- Victim