Name:Windows Routing and Remote Access Service Registry Key Change id:a93df51e-e612-40b7-a105-33e288160575 version:3 date:None author:Teoderick Contreras, Splunk status:production type:Anomaly Description:This analytic identifies the modification of the Windows RemoteAccess Registry Entry.
This technique can be used by malware, adversaries, threat actors and red teamers to gain persistence on a system by tampering with the key to add a custom DLL to be loaded.
This technique was also observed to be used by Gh0st RAT malware.
Upon seeing this behavior, it is recommended to review the system services events especially the remote access services. Data_source:
-Sysmon EventID 13
search:| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime
how_to_implement:To successfully implement this search you need to be ingesting information on process that include the name of the process responsible for the changes from your endpoints into the `Endpoint` datamodel in the `Registry` node. In addition, confirm the latest CIM App 4.20 or higher is installed and the latest TA for the endpoint product. known_false_positives:There are legitimate reasons for changing this registry key/value.
Investigate the change and its source and apply appropriate filters as needed.
References: -https://malpedia.caad.fkie.fraunhofer.de/details/win.ghost_rat -https://learn.microsoft.com/en-us/openspecs/windows_protocols/ms-rrasm/22ad9f0e-4349-43e0-92b3-37f7a9c7ca41 -https://s7d2.scene7.com/is/content/cylance/prod/cylance-web/en-us/resources/knowledge-center/resource-library/reports/Op_Dust_Storm_Report.pdf -https://www.sentinelone.com/blog/the-curious-case-of-gh0st-malware/ 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' analytic_story:['Gh0st RAT']
