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Delete gsuite_email_with_known_abuse_web_service_link.yml
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name: Gsuite Email With Known Abuse Web Service Link
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id: 8630aa22-042b-11ec-af39-acde48001122
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version: 1
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date: '2021-08-23'
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author: Teoderick Contreras, Splunk
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type: Anomaly
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datamodel: []
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description: This search is to detect a gmail containing a link that are known to be abused by malware or attacker like pastebin, telegram and discord to deliver malicious payload.
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This event can encounter some normal email traffic within organization and external email that normally using this application and services.
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search: '`gsuite_gmail` "link_domain{}" IN ("*pastebin.com*", "*discord*", "*telegram*","t.me")
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| rex field=source.from_header_address "[^@]+@(?<source_domain>[^@]+)"
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| rex field=destination{}.address "[^@]+@(?<dest_domain>[^@]+)"
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| where not source_domain="internal_test_email.com" and dest_domain="internal_test_email.com"
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|stats values(link_domain{}) as link_domains min(_time) as firstTime max(_time) as lastTime count by is_spam source.address source.from_header_address subject destination{}.address
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| `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)`
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| `gsuite_email_with_known_abuse_web_service_link_filter`'
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how_to_implement: To successfully implement this search, you need to be ingesting
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logs related to gsuite having the file attachment metadata like file type, file
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extension, source email, destination email, num of attachment and etc.
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known_false_positives: normal email contains this link that are known application within the organization or network can be catched by this detection.
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references:
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- https://news.sophos.com/en-us/2021/07/22/malware-increasingly-targets-discord-for-abuse/
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tags:
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analytic_story:
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- DevSecOps
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dataset:
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- https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1566.001/gsuite_susp_url/gsuite_susp_url.log
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kill_chain_phases:
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- Exploitation
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mitre_attack_id:
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- T1566.001
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product:
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- Splunk Enterprise
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- Splunk Enterprise Security
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- Splunk Cloud
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required_fields:
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- _time
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security_domain: endpoint
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impact: 50
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confidence: 50
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# (impact * confidence)/100
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risk_score: 25
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context:
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- Source:Endpoint
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- Stage:Reconnaissance
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message: suspicious email from $source.address$ to $destination{}.address$
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observable:
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- name: source.address
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type: User
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role:
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- attacker
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- name: destination{}.address
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type: User
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role:
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- Victim
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