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83 lines
3.3 KiB
YAML
83 lines
3.3 KiB
YAML
name: CHCP Command Execution
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id: 21d236ec-eec1-11eb-b23e-acde48001122
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version: 2
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date: '2024-05-09'
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author: Teoderick Contreras, Splunk
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status: production
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type: TTP
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description: The following analytic detects the execution of the chcp.exe application,
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which is used to change the active code page of the console. This detection leverages
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data from Endpoint Detection and Response (EDR) agents, focusing on process creation
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events where chcp.exe is executed by cmd.exe with specific command-line arguments.
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This activity is significant because it can indicate the presence of malware, such
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as IcedID, which uses this technique to determine the locale region, language, or
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country of the compromised host. If confirmed malicious, this could lead to further
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system compromise and data exfiltration.
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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_name=chcp.com
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Processes.parent_process_name = cmd.exe (Processes.parent_process=*/c* OR Processes.parent_process=*/k*)
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by Processes.process_name Processes.process Processes.parent_process_name Processes.parent_process
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Processes.process_id Processes.parent_process_id Processes.dest Processes.user |
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`drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`
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| `chcp_command_execution_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: other tools or script may used this to change code page to
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UTF-* or others
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references:
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- https://ss64.com/nt/chcp.html
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- https://twitter.com/tccontre18/status/1419941156633329665?s=20
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tags:
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analytic_story:
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- IcedID
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- Azorult
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- Forest Blizzard
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asset_type: Endpoint
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confidence: 30
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impact: 30
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message: parent process $parent_process_name$ spawning chcp process $process_name$
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with parent command line $parent_process$
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mitre_attack_id:
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- T1059
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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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- name: user
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type: User
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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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- process_name
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- process
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- parent_process_name
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- parent_process
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- process_id
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- parent_process_id
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- dest
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- user
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risk_score: 9
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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/icedid/simulated_icedid/windows-sysmon.log
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source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
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sourcetype: xmlwineventlog
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