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87 lines
3.9 KiB
YAML
87 lines
3.9 KiB
YAML
name: Linux Edit Cron Table Parameter
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id: 0d370304-5f26-11ec-a4bb-acde48001122
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version: 1
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date: '2021-12-17'
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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 via the crontab command-line parameter. This tactic could be used by adversaries
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or malware to schedule execution of their malicious code, potentially leading to
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system compromise or unauthorized persistent access. It pinpoints this activity
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by monitoring command-line executions involving ''crontab'' and the edit parameter
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(-e).\
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Recognizing such activity is vital for a SOC as cron job manipulations might signal
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unauthorized persistence attempts or scheduled malicious actions, potentially resulting
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in substantial harm. A true positive signifies an active threat, with implications
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ranging from unauthorized access to broader network compromise.\
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To implement this analytic, logs capturing process name, parent process, and command-line
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executions from your endpoints must be ingested.\
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Known false positives could stem from valid administrative tasks or automation processes
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using crontab. To reduce these, fine-tune the filter macros according to the benign
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activities within your environment. These adjustments ensure legitimate actions
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aren''t mistaken for threats, allowing analysts to focus on genuine potential risks.'
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data_source:
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- Sysmon Event ID 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.dest Processes.user
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Processes.parent_process_name Processes.process_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)` | `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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confidence: 30
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impact: 30
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message: A possible crontab edit command $process$ executed on $dest$
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mitre_attack_id:
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- T1053.003
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- T1053
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observable:
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- name: dest
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type: Hostname
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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.dest
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- Processes.user
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- Processes.parent_process_name
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- Processes.process_name
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- Processes.process
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- Processes.process_id
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- Processes.parent_process_id
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risk_score: 9
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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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