From cd46d4cf61a0c201112a70271f601b0baefae1bd Mon Sep 17 00:00:00 2001 From: tccontre <26181693+tccontre@users.noreply.github.com> Date: Mon, 11 Oct 2021 11:05:34 +0200 Subject: [PATCH] Delete screensaver_event_trigger_execution.yml --- .../screensaver_event_trigger_execution.yml | 68 ------------------- 1 file changed, 68 deletions(-) delete mode 100644 detections/endpoint/screensaver_event_trigger_execution.yml diff --git a/detections/endpoint/screensaver_event_trigger_execution.yml b/detections/endpoint/screensaver_event_trigger_execution.yml deleted file mode 100644 index dd457c5f95..0000000000 --- a/detections/endpoint/screensaver_event_trigger_execution.yml +++ /dev/null @@ -1,68 +0,0 @@ -name: Screensaver Event Trigger Execution -id: 58cea3ec-1f6d-11ec-8560-acde48001122 -version: 1 -date: '2021-09-27' -author: Teoderick Contreras, Splunk -type: TTP -datamodel: -- Endpoint -description: This analytic is developed to detect possible event trigger execution through screensaver registry entry modification. - This technique was seen in several APT and malware where they put the malicious payload path to the SCRNSAVE.EXE registry key to redirect the execution - to their malicious payload path. This TTP is a good indicator that some attacker may modify this entry for their persistence and privilege escalation. -search: '| tstats `security_content_summariesonly` count min(_time) as firstTime - max(_time) as lastTime FROM datamodel=Endpoint.Registry where (Registry.registry_path="*\\Control Panel\\Desktop\\SCRNSAVE.EXE*") - by Registry.dest Registry.user Registry.registry_path Registry.registry_key_name Registry.registry_value_name - | `security_content_ctime(lastTime)` - | `security_content_ctime(firstTime)` - | `drop_dm_object_name(Registry)` - | `screensaver_event_trigger_execution_filter`' -how_to_implement: To successfully implement this search, you must be ingesting data - that records registry activity from your hosts to populate the endpoint data model - in the registry node. This is typically populated via endpoint detection-and-response - product, such as Carbon Black or endpoint data sources, such as Sysmon. The data - used for this search is typically generated via logs that report reads and writes - to the registry. -known_false_positives: unknown -references: -- https://attack.mitre.org/techniques/T1546/002/ -- https://dmcxblue.gitbook.io/red-team-notes-2-0/red-team-techniques/privilege-escalation/untitled-3/screensaver -tags: - analytic_story: - - Windows Persistence Techniques - - Windows Privilege Escalation - dataset: - - https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1546.002/scrnsave_reg/sysmon.log - kill_chain_phases: - - Exploitation - mitre_attack_id: - - T1546.002 - product: - - Splunk Enterprise - - Splunk Enterprise Security - - Splunk Cloud - required_fields: - - _time - - Registry.dest - - Registry.user - - Registry.registry_path - - Registry.registry_key_name - - Registry.registry_value_name - security_domain: endpoint - impact: 80 - confidence: 90 - # (impact * confidence)/100 - risk_score: 72 - context: - - source:endpoint - - stage:Privilege Escalation Persistence - message: modified/added/deleted registry entry $Registry.registry_path$ in $dest$ - observable: - - name: dest - type: Hostname - role: - - Victim - - name: user - type: user - role: - - Victim - \ No newline at end of file