Windows Defender Tools in Non Standard Path
Description
The following analytic identifies usage of the MPCmdRun utility that can be abused by adversaries by moving it to a new directory.
- Type: Anomaly
-
Product: Splunk Behavioral Analytics
- Last Updated: 2022-07-18
- Author: Lou Stella, Splunk
- ID: c205bd2e-cd5b-4224-8510-578a2a1f83d7
Annotations
ATT&CK
Kill Chain Phase
- Exploitation
NIST
- DE.AE
CIS20
- CIS 10
CVE
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$main = from source
| eval timestamp = time
| eval metadata_uid = metadata.uid
| eval process_pid = process.pid
| eval process_file = process.file
| eval process_file_path = process_file.path
| eval process_file_name = process_file.name
| eval process_cmd_line = process.cmd_line
| eval actor_user = actor.user
| eval actor_user_name = actor_user.name
| eval actor_process = actor.process
| eval actor_process_pid = actor_process.pid
| eval actor_process_file = actor_process.file
| eval actor_process_file_path = actor_process_file.path
| eval actor_process_file_name = actor_process_file.name
| eval device_hostname = device.hostname
| where match(process_file_name, /(?i)mpcmdrun.exe/)=true AND (NOT match(process_file_path, /(?i)\\windows defender/)=true) AND (NOT match(process_file_path, /(?i)\\microsoft\\windows defender\\platform/)=true) --finding_report--
Macros
The SPL above uses the following Macros:
windows_defender_tools_in_non_standard_path_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Required fields
List of fields required to use this analytic.
- process.pid
- process.file.path
- process.file.name
- process.cmd_line
- actor.user.name
- actor.process.pid
- actor.process.file.path
- actor.process.file.name
- device.hostname
How To Implement
Collect endpoint data such as sysmon or 4688 events.
Known False Positives
False positives may be present and filtering may be required.
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
56.0 | 70 | 80 | Process $process_name$ with commandline $process$ spawn in non-default folder path on host $dest_device_id$ |
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
Reference
- https://attack.mitre.org/techniques/T1036/003/
- https://lolbas-project.github.io/lolbas/Binaries/MpCmdRun/
Test Dataset
Replay any dataset to Splunk Enterprise by using our replay.py
tool or the UI.
Alternatively you can replay a dataset into a Splunk Attack Range
source | version: 4