linux_auditd_detection

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tccontre
2024-08-12 12:45:05 +02:00
parent 02bd864e6d
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name: Linux Auditd Service Restarted
id: 8eb3e858-18d3-44a4-a514-52cfa39f154a
version: 1
date: '2024-08-09'
author: Teoderick Contreras, Splunk
status: production
type: Anomaly
description: The following analytic detects the restarting or re-enabling of services
on Linux systems using the `systemctl` or `service` commands. It leverages data
from Endpoint Detection and Response (EDR) agents, focusing on process and command-line
execution logs. This activity is significant as adversaries may use it to maintain
persistence or execute unauthorized actions. If confirmed malicious, this behavior
could lead to repeated execution of malicious payloads, unauthorized access, or
data destruction. Security analysts should investigate these events to mitigate
risks and prevent further compromise.
data_source:
- Linux Auditd Proctitle
search: '`linux_auditd` `linux_auditd_normalized_proctitle_process`| where (LIKE(process_exec,
"%systemctl %") OR LIKE(process_exec, "%service %") ) AND(LIKE(process_exec, "%restart%")
OR LIKE(process_exec, "%reenable%") OR LIKE(process_exec, "%reload%")) | stats count
min(_time) as firstTime max(_time) as lastTime by process_exec proctitle normalized_proctitle_delimiter
| `security_content_ctime(firstTime)`| `security_content_ctime(lastTime)`| `linux_auditd_service_restarted_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 complete command-line executions.
These logs must be processed using the appropriate Splunk Technology Add-ons that
are specific to the EDR product. 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 commandline
for automation purposes. Please update the filter macros to remove false positives.
references:
- https://attack.mitre.org/techniques/T1543/003/
tags:
analytic_story:
- AwfulShred
- Linux Privilege Escalation
- Linux Living Off The Land
- Data Destruction
- Linux Persistence Techniques
- Scheduled Tasks
- Gomir
asset_type: Endpoint
confidence: 50
impact: 50
message: $process_exec$ event occurred on host.
mitre_attack_id:
- T1053.006
- T1053
observable:
- name: process_exec
type: Other
role:
- Victim
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
required_fields:
- _time
- proctitle
risk_score: 25
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1053.006/linux_services_restart/linux_services_restart.log
source: /var/log/audit/audit.log
sourcetype: linux:audit
@@ -0,0 +1,67 @@
name: Linux Auditd Stop Services
id: 43bc9281-753b-4743-b4b7-60af84f085f3
version: 1
date: '2024-08-09'
author: Teoderick Contreras, Splunk
status: production
type: TTP
description: The following analytic detects attempts to stop or clear a service on
Linux systems. It leverages data from Endpoint Detection and Response (EDR) agents,
focusing on processes like "systemctl," "service," and "svcadm" executing stop commands.
This activity is significant as adversaries often terminate security or critical
services to disable defenses or disrupt operations, as seen in malware like Industroyer2.
If confirmed malicious, this could lead to the disabling of security mechanisms,
allowing attackers to persist, escalate privileges, or deploy destructive payloads,
severely impacting system integrity and availability.
data_source:
- Linux Auditd Service Stop
search: '`linux_auditd` type=SERVICE_STOP | stats count min(_time) as firstTime max(_time)
as lastTime by type pid UID comm exe | `security_content_ctime(firstTime)`| `security_content_ctime(lastTime)`|
`linux_auditd_stop_services_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 complete command-line executions.
These logs must be processed using the appropriate Splunk Technology Add-ons that
are specific to the EDR product. 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://www.welivesecurity.com/2022/04/12/industroyer2-industroyer-reloaded/
- https://cert.gov.ua/article/39518
tags:
analytic_story:
- AwfulShred
- Data Destruction
- Industroyer2
asset_type: Endpoint
confidence: 70
impact: 70
message: a service stop event occured on host.
mitre_attack_id:
- T1489
observable:
- name: type
type: Other
role:
- Victim
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
required_fields:
- _time
- type
- pid
- UID
- comm
- exe
risk_score: 49
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1489/linux_auditd_service_stop/linux_auditd_service_stop.log
source: /var/log/audit/audit.log
sourcetype: linux:audit