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79 lines
3.4 KiB
YAML
79 lines
3.4 KiB
YAML
name: Linux At Application Execution
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id: bf0a378e-5f3c-11ec-a6de-acde48001122
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version: 3
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date: '2024-05-20'
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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 "At" application
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in Linux, which can be used by attackers to create persistence entries on a compromised
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host. This detection leverages data from Endpoint Detection and Response (EDR) agents,
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focusing on process names and parent process names associated with "at" or "atd".
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This activity is significant because the "At" application can be exploited to maintain
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unauthorized access or deliver additional malicious payloads. If confirmed malicious,
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this behavior could lead to data theft, ransomware attacks, or other severe consequences.
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Immediate investigation is required to determine the legitimacy of the execution
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and mitigate potential risks.'
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data_source:
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- Sysmon for Linux EventID 1
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search: '| tstats `security_content_summariesonly` count from datamodel=Endpoint.Processes
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where Processes.process_name IN ("at", "atd") OR Processes.parent_process_name
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IN ("at", "atd") by Processes.dest Processes.user Processes.parent_process_name
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Processes.process_name Processes.process Processes.process_id Processes.parent_process_id
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Processes.process_guid | `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)` | `linux_at_application_execution_filter`'
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how_to_implement: The detection is based on data that originates from Endpoint Detection
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and Response (EDR) agents. These agents are designed to provide security-related
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telemetry from the endpoints where the agent is installed. To implement this search,
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you must ingest logs that contain the process GUID, process name, and parent process.
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Additionally, you must ingest complete command-line executions. These logs must
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be processed using the appropriate Splunk Technology Add-ons that are specific to
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the EDR product. The logs must also be mapped to the `Processes` node of the `Endpoint`
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data model. Use the Splunk Common Information Model (CIM) to normalize the field
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names and speed up the data modeling process.
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known_false_positives: Administrator or network operator can use this application
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for automation purposes. Please update the filter macros to remove false positives.
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references:
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- https://attack.mitre.org/techniques/T1053/001/
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- https://www.linkedin.com/pulse/getting-attacker-ip-address-from-malicious-linux-job-craig-rowland/
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tags:
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analytic_story:
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- Linux Privilege Escalation
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- Linux Persistence Techniques
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- Linux Living Off The Land
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- Scheduled Tasks
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asset_type: Endpoint
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confidence: 30
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impact: 30
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message: At application was executed in $dest$
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mitre_attack_id:
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- T1053.002
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- T1053
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observable:
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- name: dest
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type: Hostname
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role:
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- Victim
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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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required_fields:
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- _time
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- Processes.dest
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- Processes.user
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- Processes.parent_process_name
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- Processes.process_name
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- Processes.process
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- Processes.process_id
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- Processes.parent_process_id
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risk_score: 9
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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:
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https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1053.002/at_execution/sysmon_linux.log
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source: Syslog:Linux-Sysmon/Operational
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sourcetype: sysmon:linux
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