Print Processor Registry Autostart
THIS IS A EXPERIMENTAL DETECTION
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.
Description
This analytic is to detect a suspicious modification or new registry entry regarding print processor. This registry is known to be abuse by turla or other APT to gain persistence and privilege escalation to the compromised machine. This is done by adding the malicious dll payload on the new created key in this registry that will be executed as it restarted the spoolsv.exe process and services.
- Type: TTP
- Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Datamodel: Endpoint
- Last Updated: 2023-04-14
- Author: Teoderick Contreras, Splunk
- ID: 1f5b68aa-2037-11ec-898e-acde48001122
Annotations
ATT&CK
Kill Chain Phase
- Installation
- Exploitation
NIST
- DE.CM
CIS20
- CIS 10
CVE
Search
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| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime FROM datamodel=Endpoint.Registry where Registry.registry_path ="*\\Control\\Print\\Environments\\Windows x64\\Print Processors*" by Registry.dest Registry.user Registry.registry_path Registry.registry_key_name Registry.registry_value_name
| `security_content_ctime(lastTime)`
| `security_content_ctime(firstTime)`
| `drop_dm_object_name(Registry)`
| `print_processor_registry_autostart_filter`
Macros
The SPL above uses the following Macros:
print_processor_registry_autostart_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
- Registry.dest
- Registry.user
- Registry.registry_path
- Registry.registry_key_name
- Registry.registry_value_name
How To Implement
To successfully implement this search, you must be ingesting data that records registry activity from your hosts to populate the endpoint data model in the registry node. This is typically populated via endpoint detection-and-response product, such as Carbon Black or endpoint data sources, such as Sysmon. The data used for this search is typically generated via logs that report reads and writes to the registry.
Known False Positives
possible new printer installation may add driver component on this registry.
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
80.0 | 80 | 100 | modified/added/deleted registry entry $Registry.registry_path$ 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.
Reference
- https://attack.mitre.org/techniques/T1547/012/
- https://www.welivesecurity.com/2020/05/21/no-game-over-winnti-group/
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