Windows AppCertDLL Modification Via Command Line

Name:Windows AppCertDLL Modification Via Command Line
id:3ba73a2b-3396-47e4-bdef-c80e6a7895c0
version:2
date:None
author:Raven Tait, Splunk
status:production
type:Anomaly
Description:This analytic detects attempts to modify AppCertDLL registry keys via some command line utility. Values under this key are used to specify DLLs loaded by the Windows Session Manager. Such modifications can be abused by attackers to load malicious code early in the system startup process, enabling persistent malware execution with high privileges. If confirmed malicious, this behavior may lead to system compromise, persistence, and the evasion of security controls.
Data_source:

• -Sysmon EventID 1
• -Windows Event Log Security 4688
• -CrowdStrike ProcessRollup2

search:| tstats `security_content_summariesonly`
count min(_time) as firstTime
max(_time) as lastTime

from datamodel=Endpoint.Processes where

Processes.process="*\\Control\\Session Manager\\AppCertDLLs*"

by Processes.process Processes.vendor_product Processes.user_id
Processes.process_hash Processes.parent_process_name
Processes.parent_process_exec Processes.action Processes.dest
Processes.process_current_directory Processes.process_path
Processes.process_integrity_level Processes.original_file_name
Processes.parent_process Processes.parent_process_path
Processes.parent_process_guid Processes.parent_process_id
Processes.process_guid Processes.process_id
Processes.user Processes.process_name

| `drop_dm_object_name(Processes)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `windows_appcertdll_modification_via_command_line_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:Modifications to AppCertDLL keys may be made by legitimate software updates or trusted system management tools. Review changes to ensure they are from approved sources.
References:
  -https://www.hexacorn.com/blog/2013/01/19/beyond-good-ol-run-key-part-3/
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'
analytic_story:['Windows Persistence Techniques', 'Windows Privilege Escalation']

asset_type:Endpoint

mitre_attack_id:['T1546.009']

product:['Splunk Enterprise', 'Splunk Enterprise Security', 'Splunk Cloud']

category:endpoint

security_domain:endpoint

tags:

tests:
 name:'True Positive Test'
 attack_data:
  data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1546.009/snapattack/snapattack.log
  source: XmlWinEventLog:Security
  sourcetype: XmlWinEventLog
 test_type:'unit'
manual_test:None