Elastic Security enables hypothesis-driven threat hunting by unifying telemetry, providing AI-assisted ES|QL queries, machine learning, and integrated response to rapidly detect and remediate emerging techniques such as Living Off the Land Binaries. A RAG-powered AI Assistant, agentic workflows, Elastic Security Labs research, and entity analytics let analysts hunt across clusters, validate anomalies like rundll32.exe execution, and operationalize detections at scale. #TOLLBOOTH #LOLBins
Keypoints
- Elastic Security unifies security telemetry and enables cross-cluster ES|QL search to eliminate blind spots and support broad, hypothesis-driven hunts.
- A RAG-powered AI Assistant generates validated, ready-to-run ES|QL hunting queries and adapts queries for Cross-Cluster Search (CCS) and frozen data.
- Elastic Security Labs supplies continuous threat research (e.g., TOLLBOOTH) to seed hypotheses and improve detection coverage and investigations.
- Entity analytics combine alerts, anomalies, and asset criticality into risk scores to prioritize investigations quickly.
- Machine learning surfaces behavioral anomalies (e.g., “Unusual Windows Path Activity”) that help validate suspicious events beyond static rules.
- Investigators can act from the console—isolating hosts, terminating process trees, and converting hunts into operational detection rules or custom agents via Elastic Agent Builder.
MITRE Techniques
- [T1218 ] Signed Binary Proxy Execution – Use of living-off-the-land binaries to execute code, exemplified by ‘an instance of rundll32.exe executing on a Windows server with hostname elastic-defend-endpoint under the gbadmin user account.’
- [T1003 ] Credential Dumping – Hunting for signs of credential theft as part of hypothesis-driven investigations: ‘Are there signs of credential dumping or privilege escalation attempts on any IIS servers?’
- [T1068 ] Exploitation for Privilege Escalation – Searching for privilege escalation activity during hunts to validate attacker behavior: ‘Are there signs of credential dumping or privilege escalation attempts on any IIS servers?’
Indicators of Compromise
- [Process Name ] observed suspicious binary execution – rundll32.exe
- [Hostname ] example affected host – elastic-defend-endpoint
- [User Account ] account associated with execution – gbadmin
- [ML/Alert Name ] anomaly indicator contributing to risk score – “Unusual Windows Path Activity”
Read more: https://www.elastic.co/security-labs/proactive-threat-hunting-with-elastic-security