Detection rules › Splunk
Windows Theme File Creation in Unusual Location
Detects theme files being created in unusual locations. These files, used to customize desktop appearances, have been used for remote code execution and NTLM coercion attacks.
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Credential Access | T1187 Forced Authentication, T1557.001 Adversary-in-the-Middle: Name Resolution Poisoning and SMB Relay |
| Lateral Movement | T1021.002 Remote Services: SMB/Windows Admin Shares |
| Collection | T1557.001 Adversary-in-the-Middle: Name Resolution Poisoning and SMB Relay |
Event coverage
| Provider | Event | Title |
|---|---|---|
| Sysmon | Event ID 11 | FileCreate |
Rule body splunk
name: Windows Theme File Creation in Unusual Location
id: a11f5f36-2c32-4323-8cb0-0fec84b3188d
version: 2
creation_date: '2021-09-02'
modification_date: '2026-05-13'
author: Raven Tait, Splunk
status: production
type: Anomaly
description: |-
Detects theme files being created in unusual locations. These files, used to customize desktop appearances, have been used for remote code execution and NTLM coercion attacks.
data_source:
- Sysmon EventID 11
search: |-
| tstats `security_content_summariesonly`
count min(_time) as firstTime
max(_time) as lastTime
from datamodel=Endpoint.Filesystem where
Filesystem.file_path IN (
"*\\Desktop\\*",
"*\\Documents\\*",
"*\\Downloads\\*",
"*\\Temp\\*"
)
Filesystem.file_name="*.theme"
Filesystem.action="created"
by Filesystem.dest Filesystem.file_create_time Filesystem.process_path
Filesystem.process_guid Filesystem.process_id Filesystem.file_path
Filesystem.action Filesystem.file_name
Filesystem.user Filesystem.vendor_product
| `drop_dm_object_name(Filesystem)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `windows_theme_file_creation_in_unusual_location_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: Legitimate customization or IT management may use theme files that trigger this detection. Review and allow trusted themes from authorized sources.
references:
- https://www.darkreading.com/vulnerabilities-threats/recurring-windows-flaw-could-expose-user-credentials
drilldown_searches:
- earliest_offset: $info_min_time$
latest_offset: $info_max_time$
name: View the detection results for - "$user$" and "$dest$"
search: '%original_detection_search% | search user = "$user$" dest = "$dest$"'
- name: View risk events for the last 7 days for - "$user$" and "$dest$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$", "$dest$") | 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: 7d
latest_offset: "0"
intermediate_findings:
entities:
- field: dest
type: system
score: 20
message: Windows theme file created in unusual location at $file_path$ on $dest$.
threat_objects:
- field: file_path
type: file_path
analytic_story:
- Spearphishing Attachments
asset_type: Endpoint
mitre_attack_id:
- T1187
- T1557.001
- T1021.002
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: endpoint
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1187/snapattack/snapattack.log
source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
sourcetype: XmlWinEventLog
test_type: unit
Stages and Predicates
Stage 1: tstats
| tstats `security_content_summariesonly`
count min(_time) as firstTime
max(_time) as lastTime
from datamodel=Endpoint.Filesystem where
Filesystem.file_path IN (
"*\\Desktop\\*",
"*\\Documents\\*",
"*\\Downloads\\*",
"*\\Temp\\*"
)
Filesystem.file_name="*.theme"
Filesystem.action="created"
by Filesystem.dest Filesystem.file_create_time Filesystem.process_path
Filesystem.process_guid Filesystem.process_id Filesystem.file_path
Filesystem.action Filesystem.file_name
Filesystem.user Filesystem.vendor_product
Stage 2: search
| `drop_dm_object_name(Filesystem)`
Stage 3: search
| `security_content_ctime(firstTime)`
Stage 4: search
| `security_content_ctime(lastTime)`
Stage 5: search
| `windows_theme_file_creation_in_unusual_location_filter`
Indicators
Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.
| Field | Kind | Values |
|---|---|---|
Filesystem.action | eq |
|
Filesystem.file_name | eq |
|
Filesystem.file_path | in |
|