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The following analytic uses the Windows Event log - Microsoft-IIS-Configuration/Operational - which must be enabled and logged on Windows IIS servers before it can be Splunked. The following analytic identifies newly installed IIS modules. Per Microsoft, IIS modules are not commonly added to a production IIS server, so alerting on this event ID should be enabled.IIS modules can be installed at a global level or at a site level. In detecting malicious IIS modules, it is important to check both the global and site level for unauthorized modules. Regular monitoring of these locations for such modules and comparing against a known good list can help detect and identify malicious IIS modules.

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud

  • Last Updated: 2022-12-19
  • Author: Michael Haag, Splunk
  • ID: 55f22929-cfd3-4388-ba5c-4d01fac7ee7e




ID Technique Tactic
T1505 Server Software Component Persistence
T1505.004 IIS Components Persistence
Kill Chain Phase
  • Installation
  • DE.CM
  • CIS 3
  • CIS 5
  • CIS 16
`iis_operational_logs` EventCode=29 
| stats  count min(_time) as firstTime max(_time) as lastTime by OpCode EventCode ComputerName Message 
| rename ComputerName AS dest 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `windows_iis_components_new_module_added_filter`


The SPL above uses the following Macros:

:information_source: windows_iis_components_new_module_added_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.

  • _time
  • OpCode
  • EventCode
  • ComputerName
  • Message

How To Implement

You must enabled the IIS Configuration Operational log before ingesting in Splunk. Setup and inputs may be found here

Known False Positives

False positives may be present when updates or an administrator adds a new module to IIS. Monitor and filter as needed.

Associated Analytic Story


Risk Score Impact Confidence Message
48.0 60 80 A new IIS Module has been loaded and should be reviewed on $dest$.

:information_source: The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.


Test Dataset

Replay any dataset to Splunk Enterprise by using our tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

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