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https://github.com/splunk/security_content
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ljstella
87 lines
3.5 KiB
YAML
87 lines
3.5 KiB
YAML
name: Linux Node Privilege Escalation
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id: 2e58a4ff-398f-42f4-8fd0-e01ebfe2a8ce
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version: 3
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date: '2024-08-14'
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author: Gowthamaraj Rajendran, Splunk
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status: production
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type: Anomaly
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description: The following analytic identifies the execution of Node.js with elevated
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privileges using sudo, specifically when spawning child processes. It leverages
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data from Endpoint Detection and Response (EDR) agents, focusing on command-line
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executions that include specific Node.js commands. This activity is significant
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because running Node.js as a superuser without dropping privileges can allow unauthorized
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access to the file system and potential privilege escalation. If confirmed malicious,
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this could enable an attacker to maintain privileged access, execute arbitrary code,
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and compromise sensitive data within the environment.
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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 min(_time) as firstTime max(_time)
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as lastTime from datamodel=Endpoint.Processes where Processes.process="*sudo*node*"
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AND Processes.process="*-e*" AND Processes.process="*child_process.spawn*" AND Processes.process="*stdio*"
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by Processes.dest Processes.user Processes.parent_process_name Processes.process_name
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Processes.process Processes.process_id Processes.parent_process_id Processes.process_guid
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| `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`
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| `linux_node_privilege_escalation_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: False positives are present based on automated tooling or system
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administrative usage. Filter as needed.
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references:
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- https://gtfobins.github.io/gtfobins/docker/
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- https://en.wikipedia.org/wiki/Node.js
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tags:
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analytic_story:
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- Linux Privilege Escalation
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- Linux Living Off The Land
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asset_type: Endpoint
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confidence: 50
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impact: 80
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message: An instance of $parent_process_name$ spawning $process_name$ was identified
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on endpoint $dest$
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mitre_attack_id:
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- T1548.003
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- T1548
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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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- name: parent_process_name
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type: Process
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role:
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- Attacker
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- name: process_name
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type: Process
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role:
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- Attacker
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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: 40
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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/T1548/node/sysmon_linux.log
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source: Syslog:Linux-Sysmon/Operational
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sourcetype: sysmon:linux
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update_timestamp: true
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