This detection has been marked experimental by the Splunk Threat Research team. This means we have not been able to test, simulate, or build datasets for this detection. Use at your own risk. This analytic is NOT supported.

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The following analytic detects the presence of the Supernova webshell, which was used in the SUNBURST attack. This webshell can be used by attackers to gain unauthorized access to a compromised system and run arbitrary code. This detection is made by a Splunk query that searches for specific patterns in web URLs, including "logoimagehandler.ashxcodes", "logoimagehandler.ashxclazz", "logoimagehandler.ashxmethod", and "logoimagehandler.ashxargs". These patterns are commonly used by the Supernova webshell to communicate with its command and control server. This detection is important because it indicates a potential compromise and unauthorized access to the system to run arbitrary code, which can lead to data theft, ransomware, or other damaging outcomes. False positives might occur since the patterns used by the webshell can also be present in legitimate web traffic. In such cases, tune the search to the specific environment and monitor it closely for any suspicious activity. Next steps include reviewing the web URLs and inspecting any relevant on-disk artifacts. Additionally, review concurrent processes and network connections to identify the source of the attack.

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Web
  • Last Updated: 2021-01-06
  • Author: John Stoner, Splunk
  • ID: 2ec08a09-9ff1-4dac-b59f-1efd57972ec1




ID Technique Tactic
T1505.003 Web Shell Persistence
T1133 External Remote Services Persistence, Initial Access
Kill Chain Phase
  • Installation
  • Delivery
  • DE.CM
  • CIS 13
| tstats `security_content_summariesonly` count from datamodel=Web.Web where web.url=*logoimagehandler.ashx*codes* OR Web.url=*logoimagehandler.ashx*clazz* OR Web.url=*logoimagehandler.ashx*method* OR Web.url=*logoimagehandler.ashx*args* by Web.src Web.dest Web.url Web.vendor_product Web.user Web.http_user_agent _time span=1s 
| `supernova_webshell_filter`


The SPL above uses the following Macros:

:information_source: supernova_webshell_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
  • Web.url
  • Web.src
  • Web.dest
  • Web.vendor_product
  • Web.user
  • Web.http_user_agent

How To Implement

To successfully implement this search, you need to be monitoring web traffic to your Solarwinds Orion. The logs should be ingested into splunk and populating/mapped to the Web data model.

Known False Positives

There might be false positives associted with this detection since items like args as a web argument is pretty generic.

Associated Analytic Story


Risk Score Impact Confidence Message
25.0 50 50 tbd

: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 replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

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