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Description

The following analytic utilizes EventCode 2282 which generates when a Module DLL could not be loaded due to a configuration problem. This typically occurs when a IIS module is installed but is failing to load. This typically results in thousands of events until the issue is resolved. Review the module that is failing and determine if it is legitimate or not.

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

  • Last Updated: 2022-12-20
  • Author: Michael Haag, Splunk
  • ID: 40c2ba5b-dd6a-496b-9e6e-c9524d0be167

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1505 Server Software Component Persistence
T1505.004 IIS Components Persistence
Kill Chain Phase
  • Installation
NIST
  • DE.AE
CIS20
  • CIS 10
CVE
1
2
3
4
5
`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`

Macros

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

RBA

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.

Reference

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: 1