Print Spooler Failed to Load a Plug-in
The following analytic identifies driver load errors utilizing the Windows PrintService Admin logs. This was identified during our testing of CVE-2021-34527 previously (CVE-2021-1675) or PrintNightmare.
Within the proof of concept code, the following error will occur - "The print spooler failed to load a plug-in module C:\Windows\system32\spool\DRIVERS\x64\3\meterpreter.dll, error code 0x45A. See the event user data for context information."
The analytic is based on file path and failure to load the plug-in.
During triage, isolate the endpoint and review for source of exploitation. Capture any additional file modification events.
- Type: TTP
- Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Datamodel: Endpoint
- Last Updated: 2021-07-01
- Author: Mauricio Velazco, Michael Haag, Splunk
- ID: 1adc9548-da7c-11eb-8f13-acde48001122
Kill Chain Phase
|CVE-2021-34527||Windows Print Spooler Remote Code Execution Vulnerability||9.0|
|CVE-2021-1675||Windows Print Spooler Elevation of Privilege Vulnerability||9.3|
1 2 3 4 5 `printservice` ((ErrorCode="0x45A" (EventCode="808" OR EventCode="4909")) OR ("The print spooler failed to load a plug-in module" OR "\\drivers\\x64\\")) | stats count min(_time) as firstTime max(_time) as lastTime by OpCode EventCode ComputerName Message | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `print_spooler_failed_to_load_a_plug_in_filter`
The SPL above uses the following Macros:
print_spooler_failed_to_load_a_plug-in_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
You will need to ensure PrintService Admin and Operational logs are being logged to Splunk from critical or all systems.
Known False Positives
False positives are unknown and filtering may be required.
Associated Analytic Story
|72.0||80||90||Suspicious printer spooler errors have occured on endpoint $ComputerName$ with EventCode $EventCode$.|
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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source | version: 1