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* Add YAML formatting and validation infrastructure - Add yamlfmt configuration (.yamlfmt) with 4-space indent, LF line endings - Add yamllint configuration (.yamllint) for syntax validation (detections/ only) - Add pre-commit hook for automatic YAML formatting - Add CI validation script with unified error output - Add GitHub Actions workflow for PR validation - Add documentation for setup and usage - Support custom yamlfmt binary path via --yamlfmt-path flag * comment yaml check from pre-commit * apply yamlfmt * Update yaml-validation.yml * Update yaml-validation.yml * application folder search formatting * cloud folder search formatting * web folder search formatting * network folder search formatting * endpoint folder search formatting * resolve first conflict * apply formatting * remove additional pipe * Update README.md * update versions * restore and update formatting (#3920) --------- Co-authored-by: Bhavin Patel <bhavin.j.patel91@gmail.com>
61 lines
3.7 KiB
YAML
61 lines
3.7 KiB
YAML
name: Linux Auditd Kernel Module Enumeration
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id: d1b088de-c47a-4572-9339-bdcc26493b32
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version: 7
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date: '2026-02-25'
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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 identifies the use of the 'kmod' process to list kernel modules on a Linux system. This detection leverages data from Linux Auditd, focusing on process names and command-line executions. While listing kernel modules is not inherently malicious, it can be a precursor to loading unauthorized modules using 'insmod'. If confirmed malicious, this activity could allow an attacker to load kernel modules, potentially leading to privilege escalation, persistence, or other malicious actions within the 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=lsmod
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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_kernel_module_enumeration_filter`
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how_to_implement: To implement this detection, the process begins by ingesting auditd data, that consists of 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: False positives are present based on automated tooling or system administrative usage. Filter as needed.
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references:
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- https://man7.org/linux/man-pages/man8/kmod.8.html
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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 ("$dest$") starthoursago=168 | 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: $info_min_time$
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latest_offset: $info_max_time$
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rba:
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message: A SYSCALL - [$comm$] event was executed on host - [$dest$] to list kernel modules.
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risk_objects:
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- field: dest
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type: system
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score: 15
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threat_objects: []
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tags:
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analytic_story:
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- Compromised Linux Host
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- XorDDos
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- Linux Rootkit
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asset_type: Endpoint
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mitre_attack_id:
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- T1082
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- T1014
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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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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/T1082/linux_auditd_lsmod_new/linux_auditd_new_lsmod.log
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source: auditd
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sourcetype: auditd
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