Techniques
Sample rules
AWS S3 Exfiltration Behavior Identified
- source: splunk
- technicques:
- T1537
Description
This correlation search looks at the risk events created by the detection analytics related Collection and Exfiltration techniques used by adversaries. The rule is designed to identify instances where 2 or more analytics unique AWS analytics and 2 or more distinct mitre IDs has triggered for a particular risk object. This alert when triggered may indicate a potential exfiltration in progress. By aggregating these analytics, security teams can swiftly respond to and investigate any suspicious activities, enhancing their ability to protect critical assets and prevent unauthorized access to sensitive information.
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 values(All_Risk.risk_message) as risk_message from datamodel=Risk.All_Risk where All_Risk.annotations.mitre_attack.mitre_tactic = "collection" OR All_Risk.annotations.mitre_attack.mitre_tactic = "exfiltration" source = *AWS* by All_Risk.risk_object
| `drop_dm_object_name(All_Risk)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| where source_count >= 2 and mitre_tactic_id_count>=2
| `aws_s3_exfiltration_behavior_identified_filter`