Detection rules › Splunk
Linux Auditd Doas Conf File Creation
The following analytic detects the creation of the doas.conf file on a Linux host. This file is used by the doas utility to allow standard users to perform tasks as root, similar to sudo. The detection leverages Linux Auditd data, focusing on the creation of the doas.conf file. This activity is significant because it can indicate an attempt to gain elevated privileges, potentially by an adversary. If confirmed malicious, this could allow an attacker to execute commands with root commands with root privileges, leading to full system compromise.
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Privilege Escalation | T1548.003 Abuse Elevation Control Mechanism: Sudo and Sudo Caching |
Rule body splunk
name: Linux Auditd Doas Conf File Creation
id: 61059783-574b-40d2-ac2f-69b898afd6b4
version: 11
creation_date: '2024-08-09'
modification_date: '2026-05-13'
author: Teoderick Contreras, Nasreddine Bencherchali, Splunk
status: production
type: TTP
description: |
The following analytic detects the creation of the doas.conf file on a Linux host.
This file is used by the doas utility to allow standard users to perform tasks as root, similar to sudo.
The detection leverages Linux Auditd data, focusing on the creation of the doas.conf file.
This activity is significant because it can indicate an attempt to gain elevated privileges, potentially by an adversary. If confirmed malicious, this could allow an attacker to execute commands with root commands with root privileges, leading to full system compromise.
data_source:
- Linux Auditd Path
- Linux Auditd Cwd
search: |
`linux_auditd`
(
(type=PATH nametype="CREATE")
OR
type=CWD
)
| rex "msg=audit\([^)]*:(?<audit_id>\d+)\)"
| stats
values(type) as types
values(name) as names
values(nametype) as nametype
values(cwd) as cwd_list
values(_time) as event_times
by audit_id host
| eval current_working_directory = coalesce(mvindex(cwd_list, 0), "N/A")
| eval candidate_paths = mvmap(names, if(match(names, "^/"), names, current_working_directory + "/" + names))
| eval matched_paths = mvfilter(match(candidate_paths, "/etc/doas.conf.*"))
| eval match_count = mvcount(matched_paths)
| eval reconstructed_path = mvindex(matched_paths, 0)
| eval e_time = mvindex(event_times, 0)
| where match_count > 0
| rename host as dest
| stats count min(e_time) as firstTime max(e_time) as lastTime
values(nametype) as nametype
by current_working_directory
reconstructed_path
match_count
dest
audit_id
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| table nametype current_working_directory reconstructed_path dest audit_id match_count firstTime lastTime
| `linux_auditd_doas_conf_file_creation_filter`
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 and make sure the type=CWD record type is activate in your auditd configuration.
This approach enables effective monitoring and detection of linux endpoints where auditd is deployed.
known_false_positives: |
Administrator or network operator can execute this command.
Please update the filter macros to remove false positives.
references:
- https://wiki.gentoo.org/wiki/Doas
- https://www.makeuseof.com/how-to-install-and-use-doas/
drilldown_searches:
- name: View the detection results for - "$dest$"
search: '%original_detection_search% | search dest = "$dest$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$dest$"
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)`'
earliest_offset: 7d
latest_offset: "0"
finding:
title: A $reconstructed_path$ file was created on host - [$dest$]
entity:
field: dest
type: system
score: 50
analytic_story:
- Linux Privilege Escalation
- Linux Persistence Techniques
- Compromised Linux Host
asset_type: Endpoint
mitre_attack_id:
- T1548.003
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: endpoint
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1548.003/auditd_path_cwd_doas_conf/path_doas.log
source: auditd
sourcetype: auditd
test_type: unit
Stages and Predicates
Stage 1: search
`linux_auditd`
(
(type=PATH nametype="CREATE")
OR
type=CWD
)
Stage 2: rex
| rex "msg=audit\([^)]*:(?<audit_id>\d+)\)"
Stage 3: stats
| stats
values(type) as types
values(name) as names
values(nametype) as nametype
values(cwd) as cwd_list
values(_time) as event_times
by audit_id host
Stage 4: eval
| eval current_working_directory = coalesce(mvindex(cwd_list, 0), "N/A")
Stage 5: eval
| eval candidate_paths = mvmap(names, if(match(names, "^/"), names, current_working_directory + "/" + names))
Stage 6: eval
| eval matched_paths = mvfilter(match(candidate_paths, "/etc/doas.conf.*"))
Stage 7: eval
| eval match_count = mvcount(matched_paths)
Stage 8: eval
| eval reconstructed_path = mvindex(matched_paths, 0)
Stage 9: eval
| eval e_time = mvindex(event_times, 0)
Stage 10: where
| where match_count > 0
Stage 11: rename
| rename host as dest
Stage 12: stats
| stats count min(e_time) as firstTime max(e_time) as lastTime
values(nametype) as nametype
by current_working_directory
reconstructed_path
match_count
dest
audit_id
Stage 13: search
| `security_content_ctime(firstTime)`
Stage 14: search
| `security_content_ctime(lastTime)`
Stage 15: table
| table nametype current_working_directory reconstructed_path dest audit_id match_count firstTime lastTime
Stage 16: search
| `linux_auditd_doas_conf_file_creation_filter`
Indicators
Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.
| Field | Kind | Values |
|---|---|---|
match_count | gt |
|
nametype | eq |
|
sourcetype | eq |
|
type | eq |
|