Windows SSH Proxy Command
Description
This detection identifies potential abuse of SSH "ProxyCommand" or "LocalCommand" by monitoring for suspicious process execution patterns. Specifically, it looks for instances where ssh.exe (as a parent process) containing "ProxyCommand" or "LocalCommand" in its arguments spawns potentially malicious child processes like mshta, powershell, wscript, or cscript, or processes containing "http" in their command line. This technique can be used by attackers to execute arbitrary commands through SSH proxy configurations, potentially enabling command & control activities or remote code execution. The detection focuses on commonly abused Windows scripting engines and web requests that may indicate malicious activity when spawned through SSH proxy commands.
Query · spl
| tstats `security_content_summariesonly`
count min(_time) as firstTime
max(_time) as lastTime
from datamodel=Endpoint.Processes where
Processes.parent_process_name="ssh.exe"
(
Processes.parent_process = "*ProxyCommand=*"
OR
(
Processes.parent_process = "* PermitLocalCommand=yes*"
Processes.parent_process = "* LocalCommand=*"
)
)
Processes.process IN (
"*cscript*",
"*http*",
"*mshta*",
"*powershell*",
"*pwsh*",
"*wmic*",
"*wscript*"
)
by Processes.action Processes.dest Processes.original_file_name Processes.parent_process Processes.parent_process_exec
Processes.parent_process_guid Processes.parent_process_id Processes.parent_process_name Processes.parent_process_path
Processes.process Processes.process_exec Processes.process_guid Processes.process_hash Processes.process_id
Processes.process_integrity_level Processes.process_name Processes.process_path Processes.user Processes.user_id
Processes.vendor_product
| `drop_dm_object_name(Processes)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `windows_ssh_proxy_command_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 use of SSH ProxyCommand or LocalCommand with scripting engines may trigger this detection. Filter as needed based on your environment's normal SSH usage patterns and authorized scripting activities.
Analyst notes
Known false positives: Legitimate use of SSH ProxyCommand or LocalCommand with scripting engines may trigger this detection. Filter as needed based on your environment's normal SSH usage patterns and authorized scripting activities.