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105 lines
3.9 KiB
YAML
105 lines
3.9 KiB
YAML
name: CMD Carry Out String Command Parameter
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id: 54a6ed00-3256-11ec-b031-acde48001122
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version: 5
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date: '2024-05-20'
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author: Teoderick Contreras, Bhavin Patel, Splunk
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status: production
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type: Hunting
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description: The following analytic detects the use of `cmd.exe /c` to execute commands,
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a technique often employed by adversaries and malware to run batch commands or invoke
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other shells like PowerShell. This detection leverages data from Endpoint Detection
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and Response (EDR) agents, focusing on command-line executions and process metadata.
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Monitoring this activity is crucial as it can indicate script-based attacks or unauthorized
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command execution. If confirmed malicious, this behavior could lead to unauthorized
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code execution, privilege escalation, or persistence within the environment.
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data_source:
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- Sysmon EventID 1
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- Windows Event Log Security 4688
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- CrowdStrike ProcessRollup2
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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 `process_cmd` AND Processes.process="*
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/c*" by Processes.dest Processes.user Processes.parent_process_name Processes.parent_process
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Processes.process_name Processes.original_file_name Processes.process Processes.process_id
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Processes.parent_process_id | `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)` | `cmd_carry_out_string_command_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 positives may be high based on legitimate scripted code
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in any environment. Filter as needed.
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references:
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- https://thedfirreport.com/2021/10/18/icedid-to-xinglocker-ransomware-in-24-hours/
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- https://www.microsoft.com/security/blog/2022/01/15/destructive-malware-targeting-ukrainian-organizations/
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tags:
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analytic_story:
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- AsyncRAT
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- Winter Vivern
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- WhisperGate
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- Living Off The Land
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- DarkGate Malware
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- ProxyNotShell
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- Log4Shell CVE-2021-44228
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- NjRAT
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- RedLine Stealer
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- Rhysida Ransomware
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- IcedID
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- Chaos Ransomware
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- PlugX
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- Azorult
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- Qakbot
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- Hermetic Wiper
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- Warzone RAT
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- DarkCrystal RAT
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- CISA AA23-347A
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- Data Destruction
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asset_type: Endpoint
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automated_detection_testing: passed
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confidence: 50
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cve:
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- CVE-2021-44228
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impact: 60
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message: An instance of $parent_process_name$ spawning $process_name$ was identified
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on endpoint $dest$ by user $user$ attempting spawn a new process.
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mitre_attack_id:
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- T1059.003
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- T1059
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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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- 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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- Processes.parent_process_name
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- Processes.parent_process
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- Processes.process_name
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- Processes.process_id
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- Processes.process
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- Processes.dest
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- Processes.user
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- Processes.process_id
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- Processes.parent_process_id
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risk_score: 30
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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/cmd_carry_str_param/sysmon.log
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source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
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sourcetype: xmlwineventlog
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