mirror of
https://github.com/splunk/security_content
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88 lines
4.6 KiB
YAML
88 lines
4.6 KiB
YAML
name: Windows Process Execution From ProgramData
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id: 237016fa-d8e6-47b4-80f9-70c4d42c72c0
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version: '4'
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date: '2025-05-06'
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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 processes running from file paths within
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the ProgramData directory, a common location abused by adversaries for executing
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malicious code while evading detection. Threat actors often drop and execute payloads
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from this directory to bypass security controls, as it typically has write permissions
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for standard users. While this behavior can indicate malware execution or persistence
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techniques, it is important to note that some legitimate software, installers, and
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update mechanisms also run from ProgramData, leading to potential false positives.
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Security teams should validate detections by correlating with other indicators,
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such as unusual parent processes, unsigned binaries, or anomalous network activity.
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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` count values(Processes.process_name)
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as process_name values(Processes.process) as process min(_time) as firstTime max(_time)
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as lastTime from datamodel=Endpoint.Processes where Processes.process_path = "*:\\ProgramData\\*"
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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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| `windows_process_execution_from_programdata_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: Administrators may allow execution of specific binaries in
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non-standard paths. Filter as needed.
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references:
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- https://www.microsoft.com/en-us/security/blog/2023/05/24/volt-typhoon-targets-us-critical-infrastructure-with-living-off-the-land-techniques/
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drilldown_searches:
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- name: View the detection results for - "$dest$"
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search: '%original_detection_search% | search 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 - "$dest$"
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search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$dest$")
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starthoursago=168 | stats count min(_time) as firstTime max(_time) as lastTime
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values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories)
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as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic)
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as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)`
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| `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 $process_name$ running from a process path- $process_path$
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on host- $dest$
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risk_objects:
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- field: dest
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type: system
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score: 25
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threat_objects:
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- field: parent_process_name
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type: parent_process_name
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tags:
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analytic_story:
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- SnappyBee
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- XWorm
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- Salt Typhoon
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- China-Nexus Threat Activity
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asset_type: Endpoint
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mitre_attack_id:
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- T1036.005
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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/T1036.005/process_in_programdata/exec_programdata.log
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source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
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sourcetype: XmlWinEventLog
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