- Type: TTP
Product: Splunk Behavioral Analytics
- Last Updated: 2022-02-23
- Author: Michael Haag, Splunk
- ID: 0caa1dd6-94f5-11ec-9786-acde48001122
Kill Chain Phase
- CIS 10
The SPL above uses the following Macros:
windows_rundll32_inline_hta_execution_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
To successfully implement this search you need to be ingesting information on process that include the name of the process responsible for the changes from your endpoints into the
Endpoint datamodel in the
Processes node. In addition, confirm the latest CIM App 4.20 or higher is installed and the latest TA for the endpoint product.
Known False Positives
Although unlikely, some legitimate applications may exhibit this behavior, triggering a false positive.
Associated Analytic Story
|56.0||70||80||Suspicious $process_name$ inline HTA execution on $dest_device_id$.|
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
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