mirror of
https://github.com/splunk/security_content
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Bhavin Patel
79 lines
3.4 KiB
YAML
79 lines
3.4 KiB
YAML
name: Windows Process With NamedPipe CommandLine
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id: e64399d4-94a8-11ec-a9da-acde48001122
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version: 2
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date: '2024-05-13'
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author: Teoderick Contreras, Splunk
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status: production
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type: Anomaly
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description: The following analytic detects processes with command lines containing
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named pipes. It leverages data from Endpoint Detection and Response (EDR) agents,
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focusing on process command-line executions. This behavior is significant as it
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is often used by adversaries, such as those behind the Olympic Destroyer malware,
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for inter-process communication post-injection, aiding in defense evasion and privilege
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escalation. If confirmed malicious, this activity could allow attackers to maintain
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persistence, escalate privileges, or evade defenses, potentially leading to further
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compromise of the system.
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data_source:
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- Sysmon EventID 1
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search: '| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time)
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as lastTime from datamodel=Endpoint.Processes where Processes.process = "*\\\\.\\pipe\\*"
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NOT (Processes.process_path IN ("*\\program files*")) by Processes.parent_process_name
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Processes.parent_process Processes.process_name Processes.process Processes.original_file_name
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Processes.process_id Processes.parent_process_path Processes.process_guid Processes.parent_process_id
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Processes.dest Processes.user Processes.process_path | `drop_dm_object_name(Processes)`
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| `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `windows_process_with_namedpipe_commandline_filter`'
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how_to_implement: The detection is based on data that originates from Endpoint Detection
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and Response (EDR) agents. These agents are designed to provide security-related
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telemetry from the endpoints where the agent is installed. To implement this search,
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you must ingest logs that contain the process GUID, process name, and parent process.
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Additionally, you must ingest complete command-line executions. These logs must
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be processed using the appropriate Splunk Technology Add-ons that are specific to
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the EDR product. The logs must also be mapped to the `Processes` node of the `Endpoint`
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data model. Use the Splunk Common Information Model (CIM) to normalize the field
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names and speed up the data modeling process.
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known_false_positives: Normal browser application may use this technique. Please update
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the filter macros to remove false positives.
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references:
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- https://blog.talosintelligence.com/2018/02/olympic-destroyer.html
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tags:
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analytic_story:
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- Windows Defense Evasion Tactics
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asset_type: Endpoint
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confidence: 70
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impact: 70
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message: Process with named pipe in $process$ on $dest$
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mitre_attack_id:
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- T1055
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observable:
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- name: dest
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type: Endpoint
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role:
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- Victim
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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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- Processes.dest
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- Processes.user
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- Processes.parent_process_name
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- Processes.parent_process
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- Processes.original_file_name
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- Processes.process_name
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- Processes.process
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- Processes.process_id
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- Processes.parent_process_path
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- Processes.process_path
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- Processes.parent_process_id
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- Processes.process_guid
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risk_score: 49
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security_domain: endpoint
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tests:
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- name: True Positive Test
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attack_data:
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- data:
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https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/malware/olympic_destroyer/sysmon.log
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source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
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sourcetype: xmlwineventlog
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