Linux Possible Nimbuspwn Privilege Escalation
Description
The following analytic detects directory traversal attempts associated with Nimbuspwn, a Linux privilege escalation vulnerability affecting the networkd-dispatcher service. Nimbuspwn exploits weaknesses in the networkd-dispatcher service to traverse directories and execute arbitrary code with elevated privileges. If confirmed malicious, this activity could allow an attacker to escalate privileges to root, potentially leading to full system compromise, persistent unauthorized access, and the ability to deploy additional malicious payloads.
Query · spl
| tstats `security_content_summariesonly`
count min(_time) as firstTime
max(_time) as lastTime
from datamodel=Endpoint.Processes where
Processes.process="*networkd-dispatcher*"
Processes.process="*../*"
by Processes.process Processes.vendor_product Processes.user_id
Processes.process_hash Processes.parent_process_name Processes.parent_process_exec
Processes.action Processes.dest Processes.process_current_directory Processes.process_path
Processes.process_integrity_level Processes.original_file_name Processes.parent_process
Processes.parent_process_path Processes.parent_process_guid Processes.parent_process_id
Processes.process_guid Processes.process_id Processes.user Processes.process_name
| `drop_dm_object_name(Processes)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `linux_possible_nimbuspwn_privilege_escalation_filter`
Implementation guide
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
- Legitimate system processes or administrative scripts that traverse directories in a similar pattern may trigger this detection. Filter based on known administrative activity and verified system processes.
Analyst notes
Known false positives: Legitimate system processes or administrative scripts that traverse directories in a similar pattern may trigger this detection. Filter based on known administrative activity and verified system processes.