Linux Suspicious Child Process of PostgreSQL
Description
The following analytic detects PostgreSQL spawning a shell, interpreter, or network utility as a child process. When an attacker exploits a remote code execution vulnerability in PostgreSQL (such as via malicious COPY TO/FROM PROGRAM, CVE-2019-9193, or an insecurely configured extension), the database process itself becomes the parent of attacker-controlled commands. Legitimate PostgreSQL processes do not normally fork shells or download tools, making this a high-fidelity signal for post-exploitation activity.
Query · spl
| tstats `security_content_summariesonly`
count min(_time) as firstTime
max(_time) as lastTime
FROM datamodel=Endpoint.Processes WHERE
(
Processes.parent_process_name IN (
"postgres",
"postmaster",
"pg_ctl"
)
OR
Processes.parent_process_path = "*/bin/postgres"
OR
Processes.process_current_directory="*/var/lib/postgresql/*/main*"
)
Processes.process_name IN (
"awk", "bash", "curl", "dash", "env", "gawk", "id", "ifconfig",
"ksh", "lua", "nc", "ncat", "netcat", "nmap", "openssl", "perl",
"php", "python", "python2", "python3", "ruby", "sh", "socat",
"tcpdump", "wget", "whoami", "zsh"
)
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_current_directory 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)`
| `linux_suspicious_child_process_of_postgresql_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
- Custom PostgreSQL extensions or wrapper scripts that legitimately invoke shell utilities may trigger this detection. Baseline the environment and use the filter macro to suppress known-good parent/child combinations. Recommend throttling by dest and process_name before enabling broadly.
Analyst notes
Known false positives: Custom PostgreSQL extensions or wrapper scripts that legitimately invoke shell utilities may trigger this detection. Baseline the environment and use the filter macro to suppress known-good parent/child combinations. Recommend throttling by dest and process_name before enabling broadly.