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77 lines
3.3 KiB
YAML
77 lines
3.3 KiB
YAML
name: Windows Masquerading Msdtc Process
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id: 238f3a07-8440-480b-b26f-462f41d9a47c
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version: 2
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date: '2024-05-19'
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author: Teoderick Contreras, Splunk
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status: production
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type: TTP
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data_source:
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- Sysmon EventID 1
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description: The following analytic identifies the execution of msdtc.exe with specific
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command-line parameters (-a or -b), which are indicative of the PlugX malware. This
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detection leverages data from Endpoint Detection and Response (EDR) agents, focusing
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on process names and command-line arguments. This activity is significant because
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PlugX uses these parameters to masquerade its malicious operations within legitimate
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processes, making it harder to detect. If confirmed malicious, this behavior could
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allow attackers to gain unauthorized access, exfiltrate data, and conduct espionage,
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severely compromising the affected system.
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search: '| tstats `security_content_summariesonly` min(_time) as firstTime max(_time)
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as lastTime from datamodel=Endpoint.Processes where Processes.process_name = "msdtc.exe"
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Processes.process = "*msdtc.exe*" Processes.process IN ("* -a*", "* -b*") by Processes.dest
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Processes.user Processes.parent_process_name Processes.parent_process Processes.process_name
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Processes.original_file_name Processes.process Processes.process_id Processes.parent_process_id
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| `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`
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| `windows_masquerading_msdtc_process_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: unknown
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references:
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- https://malpedia.caad.fkie.fraunhofer.de/details/win.plugx
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tags:
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analytic_story:
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- PlugX
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asset_type: Endpoint
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confidence: 80
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impact: 80
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message: msdtc.exe process with process commandline used by PlugX malware in $dest$.
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mitre_attack_id:
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- T1036
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observable:
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- name: dest
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type: Hostname
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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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risk_score: 64
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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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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/attack_techniques/T1036/msdtc_process_param/msdtc_a_sysmon.log
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source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
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sourcetype: xmlwineventlog
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