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85 lines
3.8 KiB
YAML
85 lines
3.8 KiB
YAML
name: Possible Browser Pass View Parameter
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id: 8ba484e8-4b97-11ec-b19a-acde48001122
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version: 1
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date: '2021-11-22'
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author: Teoderick Contreras, Splunk
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status: production
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type: Hunting
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description: This analytic will detect if a suspicious process contains a commandline
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parameter related to a web browser credential dumper. This technique is used by
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Remcos RAT malware which uses the Nirsoft webbrowserpassview.exe application to
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dump web browser credentials. Remcos uses the "/stext" command line to dump the
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credentials in text format. This Hunting query is a good indicator of hosts suffering
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from possible Remcos RAT infection. Since the hunting query is based on the parameter
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command and the possible path where it will save the text credential information,
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it may catch normal tools that are using the same command and behavior.
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data_source:
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- Sysmon Event ID 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 IN ("*/stext
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*", "*/shtml *", "*/LoadPasswordsIE*", "*/LoadPasswordsFirefox*", "*/LoadPasswordsChrome*",
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"*/LoadPasswordsOpera*", "*/LoadPasswordsSafari*" , "*/UseOperaPasswordFile*", "*/OperaPasswordFile*","*/stab*",
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"*/scomma*", "*/stabular*", "*/shtml*", "*/sverhtml*", "*/sxml*", "*/skeepass*"
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) AND Processes.process IN ("*\\temp\\*", "*\\users\\public\\*", "*\\programdata\\*")
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by Processes.dest Processes.user Processes.parent_process_name Processes.parent_process
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Processes.process_name Processes.process Processes.process_id Processes.parent_process_id
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Processes.original_file_name | `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)` | `possible_browser_pass_view_parameter_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: False positive is quite limited. Filter is needed
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references:
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- https://www.nirsoft.net/utils/web_browser_password.html
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- https://app.any.run/tasks/df0baf9f-8baf-4c32-a452-16562ecb19be/
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tags:
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analytic_story:
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- Remcos
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asset_type: Endpoint
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confidence: 40
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impact: 40
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message: suspicious process $process_name$ contains commandline $process$ on $dest$
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mitre_attack_id:
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- T1555.003
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- T1555
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observable:
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- name: user
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type: User
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role:
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- Victim
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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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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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risk_score: 16
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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: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1555/web_browser_pass_view/sysmon.log
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source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
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sourcetype: xmlwineventlog
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