mirror of
https://github.com/splunk/security_content
synced 2026-06-08 17:32:49 +00:00
Eric McGinnis
62 lines
3.7 KiB
YAML
62 lines
3.7 KiB
YAML
name: Linux Auditd Doas Tool Execution
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id: 91b8ca78-f205-4826-a3ef-cd8d6b24e97b
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version: 10
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creation_date: '2024-08-09'
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modification_date: '2026-05-13'
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author: Teoderick Contreras, Splunk
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status: production
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type: Anomaly
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description: The following analytic detects the execution of the 'doas' tool on a Linux host. This tool allows standard users to perform tasks with root privileges, similar to 'sudo'. The detection leverages data from Linux Auditd, focusing on process names and command-line executions. This activity is significant as 'doas' can be exploited by adversaries to gain elevated privileges on a compromised host. If confirmed malicious, this could lead to unauthorized administrative access, potentially compromising the entire system.
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data_source:
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- Linux Auditd Syscall
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search: |-
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`linux_auditd` type=SYSCALL comm=doas
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| rename host as dest
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| stats count min(_time) as firstTime max(_time) as lastTime
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BY comm exe syscall
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uid ppid pid
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success dest
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| `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)`
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| `linux_auditd_doas_tool_execution_filter`
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how_to_implement: To implement this detection, the process begins by ingesting auditd data, that consist SYSCALL, TYPE, EXECVE and PROCTITLE events, which captures command-line executions and process details on Unix/Linux systems. These logs should be ingested and processed using Splunk Add-on for Unix and Linux (https://splunkbase.splunk.com/app/833), which is essential for correctly parsing and categorizing the data. The next step involves normalizing the field names to match the field names set by the Splunk Common Information Model (CIM) to ensure consistency across different data sources and enhance the efficiency of data modeling. This approach enables effective monitoring and detection of linux endpoints where auditd is deployed
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known_false_positives: Administrator or network operator can execute this command. Please update the filter macros to remove false positives.
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references:
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- https://wiki.gentoo.org/wiki/Doas
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- https://www.makeuseof.com/how-to-install-and-use-doas/
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drilldown_searches:
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- name: View the detection results for - "$dest$"
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search: '%original_detection_search% | search dest = "$dest$"'
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earliest_offset: $info_min_time$
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latest_offset: $info_max_time$
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- name: View risk events for the last 7 days for - "$dest$"
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search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$dest$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
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earliest_offset: 7d
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latest_offset: "0"
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intermediate_findings:
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entities:
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- field: dest
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type: system
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score: 20
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message: A SYSCALL - [$comm$] event was executed on host - [$dest$] to execute the "doas" tool.
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analytic_story:
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- Linux Privilege Escalation
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- Linux Persistence Techniques
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- Compromised Linux Host
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asset_type: Endpoint
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mitre_attack_id:
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- T1548.003
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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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category: endpoint
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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/T1548.003/linux_auditd_doas_new/linux_auditd_new_doas.log
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source: auditd
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sourcetype: auditd
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test_type: unit
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