Files
splunk-security_content/detections/endpoint/linux_edit_cron_table_parameter.yml
2024-06-26 14:41:53 +00:00

76 lines
3.2 KiB
YAML

name: Linux Edit Cron Table Parameter
id: 0d370304-5f26-11ec-a4bb-acde48001122
version: 2
date: '2024-05-25'
author: Teoderick Contreras, Splunk
status: production
type: Hunting
description: 'The following analytic detects the suspicious editing of cron jobs in
Linux using the crontab command-line parameter (-e). It identifies this activity
by monitoring command-line executions involving ''crontab'' and the edit parameter.
This behavior is significant for a SOC as cron job manipulations can indicate unauthorized
persistence attempts or scheduled malicious actions. If confirmed malicious, this
activity could lead to system compromise, unauthorized access, or broader network
compromise.'
data_source:
- Sysmon for Linux EventID 1
search: '| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time)
as lastTime from datamodel=Endpoint.Processes where Processes.process_name = crontab
Processes.process = "*crontab *" Processes.process = "* -e*" by Processes.dest Processes.user
Processes.parent_process_name Processes.process_name Processes.process Processes.process_id
Processes.parent_process_id | `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)` | `linux_edit_cron_table_parameter_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 can use this application
for automation purposes. Please update the filter macros to remove false positives.
references:
- https://attack.mitre.org/techniques/T1053/003/
tags:
analytic_story:
- Linux Privilege Escalation
- Linux Persistence Techniques
- Linux Living Off The Land
- Scheduled Tasks
asset_type: Endpoint
confidence: 30
impact: 30
message: A possible crontab edit command $process$ executed on $dest$
mitre_attack_id:
- T1053.003
- T1053
observable:
- name: dest
type: Hostname
role:
- Victim
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
required_fields:
- _time
- Processes.dest
- Processes.user
- Processes.parent_process_name
- Processes.process_name
- Processes.process
- Processes.process_id
- Processes.parent_process_id
risk_score: 9
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data:
https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1053.003/crontab_edit_parameter/sysmon_linux.log
source: Syslog:Linux-Sysmon/Operational
sourcetype: sysmon:linux