Techniques
Sample rules
Active Directory Lateral Movement Identified
- source: splunk
- technicques:
- T1210
Description
The primary objective of this correlation rule is to detect and alert on potential lateral movement activities within an organization’s Active Directory (AD) environment. By identifying multiple analytics associated with the Active Directory Lateral Movement analytic story, security analysts can gain better insight into possible threats and respond accordingly to mitigate risks. The correlation rule will trigger an alert when multiple analytics from the Active Directory Lateral Movement analytic story are detected within a specified time frame. The rule will generate an alert if a predetermined threshold of correlated analytics is reached within the specified time frame. This threshold can be customized to suit the needs and risk appetite of the organization.
Detection logic
| 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 All_Risk.analyticstories="Active Directory Lateral Movement" All_Risk.risk_object_type="system" 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 >= 4
| `active_directory_lateral_movement_identified_filter`
Active Directory Privilege Escalation Identified
- source: splunk
- technicques:
- T1484
Description
The primary objective of this correlation rule is to detect and alert on potential privilege escalation activities within an organization’s Active Directory (AD) environment. By identifying multiple analytics associated with the Active Directory Privilege Escalation analytic story, security analysts can gain better insight into possible threats and respond accordingly to mitigate risks. The correlation rule will trigger an alert when multiple analytics from the Active Directory Privilege Escalation analytic story are detected within a specified time frame. The rule will generate an alert if a predetermined threshold of correlated analytics is reached within the specified time frame. This threshold can be customized to suit the needs and risk appetite of the organization.
Detection logic
| 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 All_Risk.analyticstories="Active Directory Privilege Escalation" All_Risk.risk_object_type="system" 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 >= 4
| `active_directory_privilege_escalation_identified_filter`