Detection: Windows Dir Piped to Findstr Activity

Description

The following analytic detects the execution of the dir command piped to findstr on Windows systems. This technique is commonly used by attackers during the reconnaissance phase to enumerate files, directories, or sensitive data by filtering directory listings for specific strings or patterns. While this command combination can have legitimate administrative uses, adversaries frequently leverage it to locate credentials, configuration files, or other high-value targets on a compromised system. If confirmed malicious, this activity could indicate an attacker is actively mapping the file system in preparation for data exfiltration, lateral movement, or further exploitation.

 1
 2| tstats `security_content_summariesonly`
 3   count min(_time) as firstTime
 4         max(_time) as lastTime
 5
 6from datamodel=Endpoint.Processes where
 7
 8Processes.process="*dir *
 9|*findstr *"
10
11by Processes.process Processes.vendor_product Processes.user_id Processes.process_hash
12   Processes.parent_process_name Processes.parent_process_exec Processes.action
13   Processes.dest Processes.process_current_directory Processes.process_path
14   Processes.process_integrity_level Processes.original_file_name
15   Processes.parent_process Processes.parent_process_path Processes.parent_process_guid
16   Processes.parent_process_id Processes.process_guid
17   Processes.process_id Processes.user Processes.process_name
18
19
20| `drop_dm_object_name(Processes)`
21
22| `security_content_ctime(firstTime)`
23
24| `security_content_ctime(lastTime)`
25
26| `windows_dir_piped_to_findstr_activity_filter`

Data Source

Name Platform Sourcetype Source
Sysmon EventID 1 Windows icon Windows 'XmlWinEventLog' 'XmlWinEventLog:Microsoft-Windows-Sysmon/Operational'
Windows Event Log Security 4688 Windows icon Windows 'XmlWinEventLog' 'XmlWinEventLog:Security'
CrowdStrike ProcessRollup2 Other 'crowdstrike:events:sensor' 'crowdstrike'

Macros Used

Name Value
security_content_ctime convert timeformat="%Y-%m-%dT%H:%M:%S" ctime($field$)
windows_dir_piped_to_findstr_activity_filter search *
windows_dir_piped_to_findstr_activity_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Annotations

- MITRE ATT&CK
+ Kill Chain Phases
+ NIST
+ CIS
- Threat Actors
ID Technique Tactic
T1119 Automated Collection Collection
Exploitation
DE.AE
CIS 10

Default Configuration

This detection is configured by default in Splunk Enterprise Security to run with the following settings:

Setting Value
Disabled true
Cron Schedule 0 * * * *
Earliest Time -70m@m
Latest Time -10m@m
Schedule Window auto
Creates Finding (Notable) No
Creates Intermediate Finding (Risk Event) No
Hunting detections do not generate a Finding (Notable) or Intermediate Findings (Risk Events).

Implementation

The detection is based on data that originates from Endpoint Detection and Response (EDR) agents. These agents are designed to provide security-related telemetry from the endpoints where the agent is installed. To implement this search, you must ingest logs that contain the process GUID, process name, and parent process. Additionally, you must ingest complete command-line executions. These logs must be processed using the appropriate Splunk Technology Add-ons that are specific to the EDR product. The logs must also be mapped to the Processes node of the Endpoint data model. Use the Splunk Common Information Model (CIM) to normalize the field names and speed up the data modeling process.

Known False Positives

Legitimate administrative tasks and scripts may use dir piped to findstr for routine file searches. Filter based on known user behavior and approved administrative activity.

Associated Analytic Story

Detection Testing

Test Type Status Dataset Source Sourcetype
Validation Passing N/A N/A N/A
Unit Passing Dataset XmlWinEventLog:Security XmlWinEventLog

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: GitHub |

Version: 1