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pyth0n1c
64 lines
1.9 KiB
YAML
64 lines
1.9 KiB
YAML
name: Trickbot Named Pipe
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id: 1804b0a4-a682-11eb-8f68-acde48001122
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version: 1
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date: '2021-04-26'
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author: Teoderick Contreras, Splunk
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type: TTP
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datamodel:
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- Endpoint
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description: this search is to detect potential trickbot infection through the create/connected
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named pipe to the system. This technique is used by trickbot to communicate to its
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c2 to post or get command during infection.
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search: '`sysmon` EventCode IN (17,18) PipeName="\\pipe\\*lacesomepipe" | stats min(_time)
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as firstTime max(_time) as lastTime count by Computer user_id EventCode PipeName
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signature Image process_id | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`
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| `trickbot_named_pipe_filter`'
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how_to_implement: To successfully implement this search, you need to be ingesting
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logs with the process name and pipename from your endpoints. If you are using Sysmon,
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you must have at least version 6.0.4 of the Sysmon TA. .
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known_false_positives: unknown
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references:
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- https://labs.vipre.com/trickbot-and-its-modules/
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- https://whitehat.eu/incident-response-case-study-featuring-ryuk-and-trickbot-part-2/
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tags:
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analytic_story:
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- Trickbot
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confidence: 60
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context:
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- Source:Endpoint
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- Stage:Initial Access
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- Stage:Execution
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dataset:
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- https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/malware/trickbot/namedpipe/windows-sysmon.log
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impact: 70
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kill_chain_phases:
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- Exploitation
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message: Possible Trickbot namedpipe created on $Computer$ by $Image$
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mitre_attack_id:
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- T1055
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observable:
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- name: Computer
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type: Endpoint
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role:
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- Victim
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- name: Image
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type: Process
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role:
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- Attacker
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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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- Computer
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- user_id
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- EventCode
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- PipeName
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- signature
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- Image
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- process_id
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risk_score: 42
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security_domain: endpoint
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asset_type: Endpoint
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