Detection rules › Splunk
Windows AppLocker Privilege Escalation via Unauthorized Bypass
The following analytic utilizes Windows AppLocker event logs to identify attempts to bypass application restrictions. AppLocker is a feature that allows administrators to specify which applications are permitted to run on a system. This analytic is designed to identify attempts to bypass these restrictions, which could be indicative of an attacker attempting to escalate privileges. The analytic uses EventCodes 8007, 8004, 8022, 8025, 8029, and 8040 to identify these attempts. The analytic will identify the host, full file path, and target user associated with the bypass attempt. These EventCodes are related to block events and focus on 5 attempts or more.
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Stealth | T1218 System Binary Proxy Execution |
Rule body splunk
name: Windows AppLocker Privilege Escalation via Unauthorized Bypass
id: bca48629-7fa2-40d3-9e5d-807564504e28
version: 9
creation_date: '2024-04-17'
modification_date: '2026-05-13'
author: Michael Haag, Splunk
status: production
type: TTP
description: The following analytic utilizes Windows AppLocker event logs to identify attempts to bypass application restrictions. AppLocker is a feature that allows administrators to specify which applications are permitted to run on a system. This analytic is designed to identify attempts to bypass these restrictions, which could be indicative of an attacker attempting to escalate privileges. The analytic uses EventCodes 8007, 8004, 8022, 8025, 8029, and 8040 to identify these attempts. The analytic will identify the host, full file path, and target user associated with the bypass attempt. These EventCodes are related to block events and focus on 5 attempts or more.
data_source: []
search: |-
`applocker` EventCode IN (8007, 8004, 8022, 8025, 8029, 8040)
| spath input=UserData_Xml
| rename RuleAndFileData.* as *, Computer as dest, TargetUser AS user
| stats count AS attempt_count min(_time) as firstTime max(_time) as lastTime
BY dest, PolicyName, RuleId,
user, TargetProcessId, FilePath,
FullFilePath, EventCode
| where attempt_count > 5
| sort - attempt_count
| lookup applockereventcodes EventCode OUTPUT Description
| `windows_applocker_privilege_escalation_via_unauthorized_bypass_filter`
how_to_implement: The analytic is designed to be run against Windows AppLocker event logs collected from endpoints with AppLocker enabled. If using Microsoft Defender for Endpoint (MDE), modify the analytic to use EventTypes/ActionTypes that match the block events for AppLocker. The analytic requires the AppLocker event logs to be ingested into Splunk.
known_false_positives: False positives are possible if legitimate users are attempting to bypass application restrictions. This could occur if a user is attempting to run an application that is not permitted by AppLocker. It is recommended to investigate the context of the bypass attempt to determine if it is malicious or not. Modify the threshold as needed to reduce false positives.
references:
- https://learn.microsoft.com/en-us/windows/security/application-security/application-control/windows-defender-application-control/operations/querying-application-control-events-centrally-using-advanced-hunting
- https://learn.microsoft.com/en-us/windows/security/application-security/application-control/windows-defender-application-control/applocker/using-event-viewer-with-applocker
drilldown_searches:
- name: View the detection results for - "$dest$"
search: '%original_detection_search% | search dest = "$dest$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$dest$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$dest$") | 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"
finding:
title: An attempt to bypass application restrictions was detected on a host $dest$.
entity:
field: dest
type: system
score: 50
analytic_story:
- Windows AppLocker
asset_type: Endpoint
mitre_attack_id:
- T1218
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/T1562/applocker/applocker.log
sourcetype: XmlWinEventLog
source: XmlWinEventLog:Microsoft-Windows-AppLocker/MSI and Script
test_type: unit
Stages and Predicates
Stage 1: search
`applocker` EventCode IN (8007, 8004, 8022, 8025, 8029, 8040)
Stage 2: spath
| spath input=UserData_Xml
Stage 3: rename
| rename RuleAndFileData.* as *, Computer as dest, TargetUser AS user
Stage 4: stats
| stats count AS attempt_count min(_time) as firstTime max(_time) as lastTime
BY dest, PolicyName, RuleId,
user, TargetProcessId, FilePath,
FullFilePath, EventCode
Stage 5: where
| where attempt_count > 5
Stage 6: sort
| sort - attempt_count
Stage 7: lookup
| lookup applockereventcodes EventCode OUTPUT Description
Stage 8: search
| `windows_applocker_privilege_escalation_via_unauthorized_bypass_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 |
|---|---|---|
EventCode | in |
|
attempt_count | gt |
|