Skill UI

This guide outlines systematic methodologies for reducing false positives in Security Information and Event Management (SIEM) systems. It covers advanced techniques including threshold tuning, multi-signal correlation enhancement, behavioral baseline integration, and threat intelligence filtering. Used by SOC analysts and detection engineers to combat alert fatigue and improve true positive detection rates.

This skill provides advanced techniques and code examples for monitoring, mapping, and pivoting across adversary-controlled infrastructure. It leverages Passive DNS, Certificate Transparency logs, Shodan/Censys scanning, and network fingerprinting (JARM/JA3S) to discover C2 servers, phishing domains, and exploitable assets over time, which is crucial for advanced security operations and threat intelligence gathering.

This playbook guides Security Operations Center (SOC) analysts through a comprehensive, multi-step process for triaging and prioritizing security incidents. It covers receiving alerts from SIEM/EDR, enriching data using threat intelligence feeds (VirusTotal, AbuseIPDB), classifying the incident type (MITRE ATT&CK mapping), and calculating a severity score based on asset criticality and data sensitivity. The workflow culminates in automating ticket creation and triggering immediate response procedures via tools like PagerDuty.

This tool monitors Certificate Transparency (CT) logs to detect unauthorized certificate issuance for owned domains, discover hidden subdomains, and track suspicious certificate activity. By querying public CT logs and APIs (like crt.sh), it helps build continuous security pipelines, identify potential phishing infrastructure, and map the external attack surface for comprehensive threat intelligence.