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60 lines
3.1 KiB
YAML
60 lines
3.1 KiB
YAML
name: Linux Edit Cron Table Parameter
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id: 0d370304-5f26-11ec-a4bb-acde48001122
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version: 7
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date: '2025-05-02'
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author: Teoderick Contreras, Splunk
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status: production
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type: Hunting
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description: The following analytic detects the suspicious editing of cron jobs in
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Linux using the crontab command-line parameter (-e). It identifies this activity
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by monitoring command-line executions involving 'crontab' and the edit parameter.
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This behavior is significant for a SOC as cron job manipulations can indicate unauthorized
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persistence attempts or scheduled malicious actions. If confirmed malicious, this
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activity could lead to system compromise, unauthorized access, or broader network
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compromise.
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data_source:
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- Sysmon for Linux 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 = crontab
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Processes.process = "*crontab *" Processes.process = "* -e*" by Processes.action
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Processes.dest Processes.original_file_name Processes.parent_process Processes.parent_process_exec
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Processes.parent_process_guid Processes.parent_process_id Processes.parent_process_name
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Processes.parent_process_path Processes.process Processes.process_exec Processes.process_guid
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Processes.process_hash Processes.process_id Processes.process_integrity_level Processes.process_name
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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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| `linux_edit_cron_table_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: Administrator or network operator can use this application
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for automation purposes. Please update the filter macros to remove false positives.
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references:
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- https://attack.mitre.org/techniques/T1053/003/
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tags:
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analytic_story:
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- Linux Privilege Escalation
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- Linux Persistence Techniques
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- Linux Living Off The Land
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- Scheduled Tasks
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asset_type: Endpoint
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mitre_attack_id:
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- T1053.003
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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/T1053.003/crontab_edit_parameter/sysmon_linux.log
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source: Syslog:Linux-Sysmon/Operational
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sourcetype: sysmon:linux
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