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Nterl0k - T1033 Query.exe usage on remote devices. #3267
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detections/endpoint/windows_system_remote_discovery_with_query.yml
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name: Windows System Remote Discovery With Query | ||
id: 94859172-a521-474f-97ac-4cf4b09634a3 | ||
version: 1 | ||
date: '2025-01-06' | ||
author: Steven Dick | ||
status: production | ||
type: Anomaly | ||
description: The following analytic detects the execution of `query.exe` with command-line arguments aimed at discovering data on remote devices. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line executions. This activity is significant as adversaries may use `query.exe` to gain situational awareness and perform Active Directory discovery on compromised endpoints. If confirmed malicious, this behavior could allow attackers to identify various details about a system, aiding in further lateral movement and privilege escalation within the network. | ||
data_source: | ||
- Sysmon Event ID 1 | ||
- Windows Security Event ID 4688 | ||
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||
- CrowdStrike ProcessRollup2 | ||
search: '| tstats `security_content_summariesonly` values(Processes.process_current_directory) as Processes.process_current_directory values(Processes.process_id) as Processes.process_id values(Processes.process) as Processes.process values(Processes.parent_process_id) as Processes.parent_process_id values(Processes.parent_process) as Processes.parent_process count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where (Processes.process_name="query.exe" OR Processes.original_file_name="query.exe") AND (Processes.process=*/server*) by Processes.dest Processes.user Processes.process_name Processes.parent_process_name | ||
| `drop_dm_object_name(Processes)` | ||
| `security_content_ctime(firstTime)` | ||
| `security_content_ctime(lastTime)` | ||
| `windows_system_remote_discovery_with_query_filter`' | ||
how_to_implement: 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: Administrators or power users may use this command for troubleshooting. | ||
references: | ||
- https://attack.mitre.org/techniques/T1033/ | ||
drilldown_searches: | ||
- name: View the detection results for - "$dest$" and "$user$" | ||
search: '%original_detection_search% | search dest = "$dest$" user = "$user$"' | ||
earliest_offset: $info_min_time$ | ||
latest_offset: $info_max_time$ | ||
- name: View risk events for the last 7 days for - "$dest$" and "$user$" | ||
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$dest$","$user$") starthoursago=168 | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`' | ||
earliest_offset: $info_min_time$ | ||
latest_offset: $info_max_time$ | ||
- name: Investigate processes on $dest$ | ||
search: '| from datamodel:Endpoint.Processes | search dest=$dest$ process_name = $process_name|s$' | ||
earliest_offset: $info_min_time$ | ||
latest_offset: $info_max_time$ | ||
tags: | ||
analytic_story: | ||
- Active Directory Discovery | ||
asset_type: Endpoint | ||
confidence: 49 | ||
impact: 49 | ||
message: The user $user$ ran the Query command to query information from a remote system from $dest$ | ||
mitre_attack_id: | ||
- T1033 | ||
observable: | ||
- name: dest | ||
type: Hostname | ||
role: | ||
- Victim | ||
- name: user | ||
type: User | ||
role: | ||
- Victim | ||
product: | ||
- Splunk Enterprise | ||
- Splunk Enterprise Security | ||
- Splunk Cloud | ||
required_fields: | ||
- _time | ||
- Processes.dest | ||
- Processes.user | ||
- Processes.process | ||
- Processes.process_name | ||
- Processes.parent_process_name | ||
risk_score: 24 | ||
security_domain: endpoint | ||
tests: | ||
- name: True Positive Test | ||
attack_data: | ||
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1033/query_remote_usage/query_remote_usage.log | ||
source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational | ||
sourcetype: XmlWinEventLog |
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Just noticed that we also have ad03bfcf-8a91-4bc2-a500-112993deba87 focusing on user discovery. In an edge case where a user would use
query user /sever:
they would both match creating an inflated score.We perhaps need to exclude the "/server" flag from the other rule to focus only on local queries
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Agreed, I noticed the duplicate firing in our environment and choose to alter risk scoring on the user discovery correlation accordingly.
I can agree this is a bit of an overlap in coverage with the existing detection, but feel the lateral movement aspect adds more risk.