Results for “elastic”
10 skills
mukul975 performing-threat-hunting-with-elastic-siem
Proactively search for threats in Elastic Security SIEM using KQL/EQL queries, detection rules, and Timeline investigation to identify threats that evade automated detection.
24.6k · bundle
mukul975 implementing-siem-use-case-tuning
Reduce SIEM alert fatigue by systematically tuning detection rules in Splunk and Elastic, using statistical baselines, whitelists, and precision/recall metrics.
24.6k · bundle
mukul975 building-detection-rules-with-sigma
Creates vendor-agnostic detection rules using the Sigma rule format for threat detection across SIEM platforms including Splunk, Elastic, and Microsoft Sentinel.
24.6k · bundle
mukul975 detecting-pass-the-ticket-attacks
Detect Kerberos Pass-the-Ticket attacks by analyzing Windows Event IDs 4768, 4769, and 4771 for anomalous ticket usage patterns in Splunk and Elastic SIEM.
24.6k · bundle
More results
mukul975 detecting-golden-ticket-forgery
Detect Kerberos Golden Ticket forgery by analyzing Windows Event ID 4769 for RC4 encryption downgrades, abnormal ticket lifetimes, and krbtgt account anomalies in Splunk and Elastic SIEM.
24.6k · bundle
mukul975 detecting-service-account-abuse
Detect abuse of service accounts through anomalous interactive logons, privilege escalation, lateral movement, and unauthorized access patterns.
24.6k · bundle
mukul975 building-vulnerability-aging-and-sla-tracking
Track vulnerability aging and SLA compliance with severity-based remediation timelines, automated escalations, and compliance metrics.
24.6k · bundle
mukul975 detecting-api-enumeration-attacks
Detect and prevent API enumeration attacks including BOLA and IDOR exploitation by monitoring sequential identifier access patterns and authorization failures.
24.6k · bundle
mukul975 detecting-credential-dumping-techniques
Detect LSASS credential dumping, SAM database extraction, and NTDS.dit theft using Sysmon Event ID 10, Windows Security logs, and SIEM correlation rules.
24.6k · bundle
mukul975 detecting-lateral-movement-in-network
Identifies lateral movement techniques in enterprise networks by analyzing authentication logs, network flows, SMB traffic, and RDP sessions using Zeek, Velociraptor, and SIEM correlation rules to detect attackers moving between systems.
24.6k · bundle