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The following analytic detects when an IIS Module DLL fails to load due to a configuration problem, identified by EventCode 2282. This detection leverages Windows Application event logs to identify repeated failures in loading IIS modules. Such failures can indicate misconfigurations or potential tampering with IIS components. If confirmed malicious, this activity could lead to service disruptions or provide an attacker with opportunities to exploit vulnerabilities within the IIS environment. Immediate investigation is required to determine the legitimacy of the failing module and to mitigate any potential security risks.

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

  • Last Updated: 2024-05-15
  • Author: Michael Haag, Splunk
  • ID: 40c2ba5b-dd6a-496b-9e6e-c9524d0be167




ID Technique Tactic
T1505 Server Software Component Persistence
T1505.004 IIS Components Persistence
Kill Chain Phase
  • Installation
  • DE.AE
  • CIS 10
`wineventlog_application` EventCode=2282 
| stats  count min(_time) as firstTime max(_time) as lastTime by  EventCode dest Name ModuleDll 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `windows_iis_components_module_failed_to_load_filter`


The SPL above uses the following Macros:

:information_source: windows_iis_components_module_failed_to_load_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

IIS must be installed and Application event logs must be collected in order to utilize this analytic.

Known False Positives

False positives will be present until all module failures are resolved or reviewed.

Associated Analytic Story


Risk Score Impact Confidence Message
25.0 50 50 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

source | version: 2