diff --git a/detections/endpoint/disable_registry_tool.yml b/detections/endpoint/disable_registry_tool.yml index a2999d35ef..98934e509c 100644 --- a/detections/endpoint/disable_registry_tool.yml +++ b/detections/endpoint/disable_registry_tool.yml @@ -36,6 +36,7 @@ tags: mitre_attack_id: - T1562.001 - T1562 + - T1112 observable: - name: dest type: Endpoint diff --git a/detections/endpoint/disable_show_hidden_files.yml b/detections/endpoint/disable_show_hidden_files.yml index c8b289b0eb..d9e1532ef8 100644 --- a/detections/endpoint/disable_show_hidden_files.yml +++ b/detections/endpoint/disable_show_hidden_files.yml @@ -4,7 +4,7 @@ version: 4 date: '2023-04-27' author: Steven Dick, Teoderick Contreras, Splunk status: production -type: TTP +type: Anomaly description: The following analytic is to identify a modification in the Windows registry to prevent users from seeing all the files with hidden attributes. This event or techniques are known on some worm and trojan spy malware that will drop hidden files @@ -40,6 +40,7 @@ tags: - T1562.001 - T1564 - T1562 + - T1112 observable: - name: dest type: Endpoint diff --git a/detections/endpoint/disable_windows_app_hotkeys.yml b/detections/endpoint/disable_windows_app_hotkeys.yml index b1df2a632d..87b8a20115 100644 --- a/detections/endpoint/disable_windows_app_hotkeys.yml +++ b/detections/endpoint/disable_windows_app_hotkeys.yml @@ -37,6 +37,7 @@ tags: mitre_attack_id: - T1562.001 - T1562 + - T1112 observable: - name: dest type: Endpoint diff --git a/detections/endpoint/disabling_cmd_application.yml b/detections/endpoint/disabling_cmd_application.yml index ec95a0ef58..c062655432 100644 --- a/detections/endpoint/disabling_cmd_application.yml +++ b/detections/endpoint/disabling_cmd_application.yml @@ -35,6 +35,7 @@ tags: mitre_attack_id: - T1562.001 - T1562 + - T1112 observable: - name: user type: User diff --git a/detections/endpoint/disabling_controlpanel.yml b/detections/endpoint/disabling_controlpanel.yml index f4cc6bd865..86499c478f 100644 --- a/detections/endpoint/disabling_controlpanel.yml +++ b/detections/endpoint/disabling_controlpanel.yml @@ -34,6 +34,7 @@ tags: mitre_attack_id: - T1562.001 - T1562 + - T1112 observable: - name: user type: User diff --git a/detections/endpoint/disabling_norun_windows_app.yml b/detections/endpoint/disabling_norun_windows_app.yml index 4d3e5e7bf6..8309f26d9a 100644 --- a/detections/endpoint/disabling_norun_windows_app.yml +++ b/detections/endpoint/disabling_norun_windows_app.yml @@ -38,6 +38,7 @@ tags: mitre_attack_id: - T1562.001 - T1562 + - T1112 observable: - name: user type: User diff --git a/detections/endpoint/windows_modify_registry_risk_behavior.yml b/detections/endpoint/windows_modify_registry_risk_behavior.yml new file mode 100644 index 0000000000..a481d3919b --- /dev/null +++ b/detections/endpoint/windows_modify_registry_risk_behavior.yml @@ -0,0 +1,69 @@ +name: Windows Modify Registry Risk Behavior +id: 5eb479b1-a5ea-4e01-8365-780078613776 +version: 1 +date: '2023-06-15' +author: Teoderick Contreras, Splunk +status: production +type: Correlation +data_source: [] +description: This analytic is designed to identify instances where three or more distinct analytics associated with Mitre ID T1112 - Modification of registry information are triggered. Such occurrences could indicate the presence of multiple malicious registry modifications on a host. Malicious actors frequently manipulate the Windows Registry to hide important configuration details within specific Registry keys. This technique allows them to obscure their activities, erase any evidence during cleanup operations, and establish continuous access and execution of malicious code. +search: '| tstats `security_content_summariesonly` min(_time) as firstTime max(_time) as lastTime + sum(All_Risk.calculated_risk_score) as risk_score, + count(All_Risk.calculated_risk_score) as risk_event_count, + values(All_Risk.annotations.mitre_attack.mitre_tactic_id) as annotations.mitre_attack.mitre_tactic_id, + dc(All_Risk.annotations.mitre_attack.mitre_tactic_id) as mitre_tactic_id_count, + values(All_Risk.annotations.mitre_attack.mitre_technique_id) as annotations.mitre_attack.mitre_technique_id, + dc(All_Risk.annotations.mitre_attack.mitre_technique_id) as mitre_technique_id_count, + values(All_Risk.tag) as tag, values(source) as source, + dc(source) as source_count from datamodel=Risk.All_Risk + where source IN ("*registry*") All_Risk.annotations.mitre_attack.mitre_technique_id IN ("*T1112*") + by All_Risk.risk_object All_Risk.risk_object_type All_Risk.annotations.mitre_attack.mitre_tactic + | `drop_dm_object_name(All_Risk)` + | `security_content_ctime(firstTime)` + | `security_content_ctime(lastTime)` + | where source_count >= 3 + | `windows_modify_registry_risk_behavior_filter`' +how_to_implement: Splunk Enterprise Security is required to utilize this correlation. In addition, + modify the source_count value to your environment. In our testing, a count of 4 or 5 was decent in a lab, + but the number may need to be increased base on internal testing. In addition, + based on false positives, modify any analytics to be anomaly and lower or increase risk based on organization importance. +known_false_positives: False positives will be present based on many factors. Tune + the correlation as needed to reduce too many triggers. +references: +- https://www.splunk.com/en_us/blog/security/do-not-cross-the-redline-stealer-detections-and-analysis.html +- https://www.splunk.com/en_us/blog/security/asyncrat-crusade-detections-and-defense.html +- https://www.splunk.com/en_us/blog/security/from-registry-with-love-malware-registry-abuses.html +- https://www.splunk.com/en_us/blog/security/-applocker-rules-as-defense-evasion-complete-analysis.html +tags: + analytic_story: + - Windows Registry Abuse + asset_type: Endpoint + confidence: 70 + impact: 70 + message: An increase of Windows Modify Registry behavior has been detected on $affected_systems$ + mitre_attack_id: + - T1112 + observable: + - name: affected_systems + type: Hostname + role: + - Victim + product: + - Splunk Enterprise + - Splunk Enterprise Security + - Splunk Cloud + risk_score: 49 + required_fields: + - _time + - All_Risk.analyticstories + - All_Risk.risk_object_type + - All_Risk.risk_object + - All_Risk.annotations.mitre_attack.mitre_tactic + - source + security_domain: endpoint +tests: +- name: True Positive Test + attack_data: + - data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1112/windows_mod_reg_risk_behavior/modify_reg_risk.log + source: mod_reg + sourcetype: stash