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111 lines
4.7 KiB
YAML
111 lines
4.7 KiB
YAML
name: Ping Sleep Batch Command
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id: ce058d6c-79f2-11ec-b476-acde48001122
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version: 11
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date: '2025-07-16'
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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 identifies the execution of ping sleep batch
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commands.
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It leverages data from Endpoint Detection and Response (EDR) agents, focusing on
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process and parent process command-line details. This activity is significant as
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it indicates an attempt to delay malicious code execution, potentially evading detection
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or sandbox analysis. If confirmed malicious, this technique allows attackers to
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bypass security measures, making it harder to detect and analyze their activities,
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thereby increasing the risk of prolonged unauthorized access and potential data
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exfiltration.
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'
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data_source:
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- Sysmon EventID 1
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- CrowdStrike ProcessRollup2
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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
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(
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Processes.parent_process= "*ping*"
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Processes.parent_process = *-n*
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Processes.parent_process="* Nul*"
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Processes.parent_process IN ("*>*", "*>*")
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Processes.parent_process IN ("*&*", "*& *")
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)
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OR (
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Processes.process = "*ping*"
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Processes.process = *-n*
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Processes.process="* Nul*"
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Processes.process IN ("*>*", "*>*")
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Processes.process IN ("*&*", "*& *")
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)
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by Processes.action Processes.dest Processes.original_file_name Processes.parent_process
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Processes.parent_process_exec Processes.parent_process_guid Processes.parent_process_id
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Processes.parent_process_name Processes.parent_process_path Processes.process Processes.process_exec
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Processes.process_guid Processes.process_hash Processes.process_id Processes.process_integrity_level
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Processes.process_name Processes.process_path Processes.user Processes.user_id Processes.vendor_product
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| `drop_dm_object_name("Processes")` | `security_content_ctime(firstTime)` |`security_content_ctime(lastTime)`
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| `ping_sleep_batch_command_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: Administrator or network operator may execute this command.
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Please update the filter macros to remove false positives.
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references:
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- https://www.microsoft.com/security/blog/2022/01/15/destructive-malware-targeting-ukrainian-organizations/
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drilldown_searches:
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- name: View the detection results for - "$user$" and "$dest$"
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search: '%original_detection_search% | search user = "$user$" dest = "$dest$"'
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earliest_offset: $info_min_time$
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latest_offset: $info_max_time$
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- name: View risk events for the last 7 days for - "$user$" and "$dest$"
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search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$",
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"$dest$") starthoursago=168 | stats count min(_time) as firstTime max(_time)
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as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk
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Message" values(analyticstories) as "Analytic Stories" values(annotations._all)
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as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics"
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by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
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earliest_offset: $info_min_time$
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latest_offset: $info_max_time$
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rba:
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message: suspicious $process$ commandline run on $dest$
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risk_objects:
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- field: user
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type: user
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score: 36
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- field: dest
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type: system
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score: 36
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threat_objects: []
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tags:
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analytic_story:
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- Warzone RAT
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- Quasar RAT
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- Data Destruction
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- Meduza Stealer
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- WhisperGate
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- BlackByte Ransomware
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asset_type: Endpoint
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mitre_attack_id:
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- T1497.003
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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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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/T1497.003/ping_sleep/sysmon.log
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source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
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sourcetype: XmlWinEventLog
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