The following analytic identifies a suspicious registry modification associated with NjRat, a telltale sign of its fileless technique. NjRat employs this method to manage its keylogs and execute downloaded DLL module plugins discreetly on the compromised host. This approach is particularly effective at evading conventional file-based detection systems, as it stores indicators of compromise (IOCs) in the registry. Leveraging this TTP (Tactics, Techniques, and Procedures) detection can significantly enhance the identification of NjRAT infections.
- Type: TTP
- Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Datamodel: Endpoint
- Last Updated: 2023-09-14
- Author: Teoderick Contreras, Splunk
- ID: a5fffbbd-271f-4980-94ed-4fbf17f0af1c
Kill Chain Phase
- CIS 10
1 2 3 4 5 6 | tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Registry where Registry.registry_path="*\\[kl]" OR Registry.registry_value_data IN ("*[ENTER]*", "*[TAP]*", "*[Back]*") by Registry.dest Registry.user Registry.registry_path Registry.registry_value_data Registry.registry_key_name Registry.registry_value_name | `drop_dm_object_name(Registry)` | `security_content_ctime(lastTime)` | `security_content_ctime(firstTime)` | `windows_njrat_fileless_storage_via_registry_filter`
The SPL above uses the following Macros:
windows_njrat_fileless_storage_via_registry_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
Associated Analytic Story
|100.0||100||100||a suspicious registry entry related to NjRAT keylloging registry in $dest$|
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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