mirror of
https://github.com/splunk/security_content
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70 lines
2.9 KiB
YAML
70 lines
2.9 KiB
YAML
name: Linux Auditd Stop Services
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id: 43bc9281-753b-4743-b4b7-60af84f085f3
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version: 1
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date: '2024-09-04'
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author: Teoderick Contreras, Splunk
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status: production
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type: TTP
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description: The following analytic detects attempts to stop or clear a service on
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Linux systems. It leverages data from Linux Auditd, focusing on processes like "systemctl," "service," and "svcadm" executing stop commands.
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This activity is significant as adversaries often terminate security or critical
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services to disable defenses or disrupt operations, as seen in malware like Industroyer2.
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If confirmed malicious, this could lead to the disabling of security mechanisms,
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allowing attackers to persist, escalate privileges, or deploy destructive payloads,
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severely impacting system integrity and availability.
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data_source:
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- Linux Auditd Service Stop
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search: '`linux_auditd` type=SERVICE_STOP | rename host as dest | stats count min(_time)
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as firstTime max(_time) as lastTime by type pid UID comm exe dest | `security_content_ctime(firstTime)`|
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`security_content_ctime(lastTime)`| `linux_auditd_stop_services_filter`'
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how_to_implement: To implement this detection, the process begins by ingesting auditd
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data, that consist SYSCALL, TYPE, EXECVE and PROCTITLE events, which captures command-line
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executions and process details on Unix/Linux systems. These logs should be ingested
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and processed using Splunk Add-on for Unix and Linux (https://splunkbase.splunk.com/app/833),
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which is essential for correctly parsing and categorizing the data. The next step
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involves normalizing the field names to match the field names set by the Splunk
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Common Information Model (CIM) to ensure consistency across different data sources
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and enhance the efficiency of data modeling. This approach enables effective monitoring
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and detection of linux endpoints where auditd is deployed
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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://www.welivesecurity.com/2022/04/12/industroyer2-industroyer-reloaded/
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- https://cert.gov.ua/article/39518
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tags:
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analytic_story:
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- Industroyer2
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- Data Destruction
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- AwfulShred
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- Compromised Linux Host
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asset_type: Endpoint
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confidence: 70
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impact: 70
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message: A service event - [$type$] event occured on host - [$dest$] to stop or disable a service.
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mitre_attack_id:
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- T1489
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observable:
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- name: dest
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type: Endpoint
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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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- type
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- pid
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- UID
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- comm
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- exe
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risk_score: 49
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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/T1489/linux_auditd_service_stop/linux_auditd_service_stop.log
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source: /var/log/audit/audit.log
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sourcetype: linux:audit
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