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splunk-security_content/detections/endpoint/ping_sleep_batch_command.yml
Teoderick Contreras d5402b4dcc quasar_and_loader
2025-07-17 14:51:43 +02:00

111 lines
4.7 KiB
YAML

name: Ping Sleep Batch Command
id: ce058d6c-79f2-11ec-b476-acde48001122
version: 11
date: '2025-07-16'
author: Teoderick Contreras, Splunk
status: production
type: Anomaly
description: 'The following analytic identifies the execution of ping sleep batch
commands.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on
process and parent process command-line details. This activity is significant as
it indicates an attempt to delay malicious code execution, potentially evading detection
or sandbox analysis. If confirmed malicious, this technique allows attackers to
bypass security measures, making it harder to detect and analyze their activities,
thereby increasing the risk of prolonged unauthorized access and potential data
exfiltration.
'
data_source:
- Sysmon EventID 1
- CrowdStrike ProcessRollup2
search: '| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time)
as lastTime from datamodel=Endpoint.Processes where
(
Processes.parent_process= "*ping*"
Processes.parent_process = *-n*
Processes.parent_process="* Nul*"
Processes.parent_process IN ("*>*", "*>*")
Processes.parent_process IN ("*&*", "*& *")
)
OR (
Processes.process = "*ping*"
Processes.process = *-n*
Processes.process="* Nul*"
Processes.process IN ("*>*", "*>*")
Processes.process IN ("*&*", "*& *")
)
by Processes.action Processes.dest Processes.original_file_name Processes.parent_process
Processes.parent_process_exec Processes.parent_process_guid Processes.parent_process_id
Processes.parent_process_name Processes.parent_process_path Processes.process Processes.process_exec
Processes.process_guid Processes.process_hash Processes.process_id Processes.process_integrity_level
Processes.process_name Processes.process_path Processes.user Processes.user_id Processes.vendor_product
| `drop_dm_object_name("Processes")` | `security_content_ctime(firstTime)` |`security_content_ctime(lastTime)`
| `ping_sleep_batch_command_filter`'
how_to_implement: The detection is based on data that originates from Endpoint Detection
and Response (EDR) agents. These agents are designed to provide security-related
telemetry from the endpoints where the agent is installed. To implement this search,
you must ingest logs that contain the process GUID, process name, and parent process.
Additionally, you must ingest complete command-line executions. These logs must
be processed using the appropriate Splunk Technology Add-ons that are specific to
the EDR product. The logs must also be mapped to the `Processes` node of the `Endpoint`
data model. Use the Splunk Common Information Model (CIM) to normalize the field
names and speed up the data modeling process.
known_false_positives: Administrator or network operator may execute this command.
Please update the filter macros to remove false positives.
references:
- https://www.microsoft.com/security/blog/2022/01/15/destructive-malware-targeting-ukrainian-organizations/
drilldown_searches:
- name: View the detection results for - "$user$" and "$dest$"
search: '%original_detection_search% | search user = "$user$" dest = "$dest$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$user$" and "$dest$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$",
"$dest$") starthoursago=168 | stats count min(_time) as firstTime max(_time)
as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk
Message" values(analyticstories) as "Analytic Stories" values(annotations._all)
as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics"
by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
rba:
message: suspicious $process$ commandline run on $dest$
risk_objects:
- field: user
type: user
score: 36
- field: dest
type: system
score: 36
threat_objects: []
tags:
analytic_story:
- Warzone RAT
- Quasar RAT
- Data Destruction
- Meduza Stealer
- WhisperGate
- BlackByte Ransomware
asset_type: Endpoint
mitre_attack_id:
- T1497.003
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1497.003/ping_sleep/sysmon.log
source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
sourcetype: XmlWinEventLog