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linux_possible_append_command_to_profile_config_file.yml
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linux_possible_append_command_to_profile_config_file.yml
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name: Linux Possible Append Command To Profile Config File
id: 9c94732a-61af-11ec-91e3-acde48001122
version: 1
date: '2021-12-20'
author: Teoderick Contreras, Splunk
status: production
type: Anomaly
description: This analytic looks for suspicious command-lines that can be possibly
used to modify user profile files to automatically execute scripts/executables by
shell upon reboot of the machine. This technique is commonly abused by adversaries,
malware and red teamers as persistence mechanism to the targeted or compromised
host. This Anomaly detection is a good indicator that someone wants to run code
after reboot which can be done also by the administrator or network operator for
automation purposes.
data_source:
- Sysmon for Linux EventID 1
search: '| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time)
as lastTime from datamodel=Endpoint.Processes where Processes.process = "*echo*"
AND Processes.process IN("*~/.bashrc", "*~/.bash_profile", "*/etc/profile", "~/.bash_login",
"*~/.profile", "~/.bash_logout") by Processes.dest Processes.user Processes.parent_process_name
Processes.process_name Processes.process Processes.process_id Processes.parent_process_id
Processes.process_guid | `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)` | `linux_possible_append_command_to_profile_config_file_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 GUID, process name, and parent process.
Additionally, you must ingest complete command-line executions. These logs must
be processed using the appropriate Splunk Technology Add-ons that are specific to
the EDR product. The logs must also be mapped to the `Processes` node of the `Endpoint`
data model. 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://unix.stackexchange.com/questions/129143/what-is-the-purpose-of-bashrc-and-how-does-it-work
- https://attack.mitre.org/techniques/T1546/004/
tags:
analytic_story:
- Linux Privilege Escalation
- Linux Persistence Techniques
asset_type: Endpoint
confidence: 70
impact: 70
message: a commandline $process$ that may modify profile files in $dest$
mitre_attack_id:
- T1546.004
- T1546
observable:
- name: dest
type: Hostname
role:
- Victim
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
required_fields:
- _time
- Processes.dest
- Processes.user
- Processes.parent_process_name
- Processes.process_name
- Processes.process
- Processes.process_id
- Processes.parent_process_id
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/T1546.004/linux_init_profile/sysmon_linux.log
source: Syslog:Linux-Sysmon/Operational
sourcetype: sysmon_linux