The following analytic identifies a default behavior of a MetaSploit payload. MetaSploit uses Apache Benchmark to generate payloads. The payloads contain standard artifacts including "Apache Benchmark" and the original file name is always ab.exe. During triage, review the process and it's path. It is possible network connections spawned from it. Review parallel processes for further behaviors.
- Type: Anomaly
- Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Datamodel: Endpoint
- Last Updated: 2022-11-21
- Author: Michael Haag, Splunk
- ID: 894f48ea-8d85-4dcd-9132-c66cdb407c9b
Kill Chain Phase
- CIS 10
1 2 3 4 5 6 | tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where Processes.original_file_name=ab.exe by Processes.dest Processes.user Processes.parent_process_name Processes.process_name Processes.original_file_name Processes.process Processes.process_id Processes.parent_process_id | `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `windows_apache_benchmark_binary_filter`
The SPL above uses the following Macros:
windows_apache_benchmark_binary_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
List of fields required to use this analytic.
How To Implement
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
False positives should be limited as there is a small subset of binaries that contain the original file name of ab.exe. Filter as needed.
Associated Analytic Story
|100.0||100||100||A known MetaSploit default payload has been identified on $dest$ ran by $user$, $parent_process_name$ spawning $process_name$.|
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
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