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splunk-security_content/detections/endpoint/linux_auditd_at_application_execution.yml
2024-09-04 15:43:55 +05:30

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3.3 KiB
YAML

name: Linux Auditd At Application Execution
id: 9f306e0a-1c36-469e-8892-968ca12470dd
version: 1
date: '2024-09-04'
author: Teoderick Contreras, Splunk
status: production
type: Anomaly
description: The following analytic detects the execution of the "At" application
in Linux, which can be used by attackers to create persistence entries on a compromised
host. This detection leverages data from Endpoint Detection and Response (EDR) agents,
focusing on process names and parent process names associated with "at" or "atd".
This activity is significant because the "At" application can be exploited to maintain
unauthorized access or deliver additional malicious payloads. If confirmed malicious,
this behavior could lead to data theft, ransomware attacks, or other severe consequences.
Immediate investigation is required to determine the legitimacy of the execution
and mitigate potential risks.
data_source:
- Linux Auditd Syscall
search: '`linux_auditd` type=SYSCALL comm IN ("at", "atd") OR exe IN ("/usr/bin/at","/usr/bin/atd")
AND NOT (UID IN("daemon")) | rename host as dest | stats count min(_time) as firstTime
max(_time) as lastTime by comm exe SYSCALL UID ppid pid dest | `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`| `linux_auditd_at_application_execution_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. This approach enables effective monitoring
and detection of linux endpoints where auditd is deployed
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://attack.mitre.org/techniques/T1053/001/
- https://www.linkedin.com/pulse/getting-attacker-ip-address-from-malicious-linux-job-craig-rowland/
tags:
analytic_story:
- Scheduled Tasks
- Linux Privilege Escalation
- Linux Persistence Techniques
- Linux Living Off The Land
- Compromised Linux Host
asset_type: Endpoint
confidence: 30
impact: 30
message: A SYSCALL - [$comm$] event was executed on host - [$dest$] to execute the "at" application.
mitre_attack_id:
- T1053.002
- T1053
observable:
- name: dest
type: Endpoint
role:
- Victim
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
required_fields:
- _time
- comm
- exe
- SYSCALL
- UID
- ppid
- pid
risk_score: 9
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1053.002/linux_auditd_at/linux_auditd_at_execution.log
source: /var/log/audit/audit.log
sourcetype: linux:audit