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This skill guides the advanced configuration of Windows Event Logging using Group Policy Objects (GPO) and advanced audit policies. It enables high-fidelity logging for critical security events, including process creation (Event 4688), logon/logoff activities, and object access. The process covers optimizing log sizes and implementing Windows Event Forwarding (WEF) to centralize data into SIEM platforms for effective threat detection and forensic investigation.

A specialized Python detector designed to monitor Operational Technology (OT) historian servers (such as OSIsoft PI, Ignition, etc.). It identifies critical indicators of compromise (IOCs), including unauthorized network connections, data manipulation attempts, and lateral movement activities that bridge IT and OT zones. Use this skill when validating data integrity and investigating potential cyber breaches in industrial environments.

This skill implements User and Entity Behavior Analytics (UEBA) using Elasticsearch/OpenSearch. It goes beyond static rules to build behavioral baselines (e.g., login times, data volume) for users and entities. By calculating anomaly scores and performing peer group analysis, it detects suspicious activities such as data exfiltration, privilege abuse, and unauthorized access, allowing organizations to proactively identify high-risk insider threats.

A comprehensive guide for detecting Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests (Event ID 4769). This technique targets service accounts with Service Principal Names (SPNs), which are requested offline by attackers to crack service account passwords. Use this during threat hunting or incident response to scope MITRE T1558 credential access activities in Active Directory environments.

A comprehensive guide and workflow for detecting Mimikatz and similar credential-dumping activities. It utilizes command-line pattern matching, LSASS memory access signatures, binary indicators, and in-memory analysis. Ideal for threat hunting, scoping compromises during incident response, or validating detection coverage in purple team exercises using EDR/SIEM data.

This skill provides comprehensive guidance on detecting network reconnaissance and port scanning activities using industry-standard IDS/IPS systems like Suricata and Snort. It covers various scanning techniques (e.g., SYN, FIN, NULL, Xmas scans, UDP sweeps) and advanced detection methods, including signature matching, threshold-based alerting, and traffic anomaly analysis to identify tools like Nmap and Masscan.

A comprehensive skill for detecting advanced malware techniques, including DLL injection, process hollowing, APC injection, and thread hijacking. Utilizes memory forensics (Volatility), API monitoring (Sysmon), and behavioral analysis to identify malicious code artifacts and suspicious process activities in a deep defense context.

This skill provides a framework for proactively detecting service account abuse, which often occurs through anomalous interactive logons, privilege escalation, or lateral movement. It leverages EDR/SIEM telemetry (e.g., CrowdStrike, Splunk) and advanced threat intelligence rules (Sigma) to identify compromised accounts performing unexpected activities. Ideal for incident response, threat hunting, and security posture assessment.

This guide details how to detect T1055 process injection techniques, including DLL injection, process hollowing, and remote thread creation. By analyzing specific Sysmon Event IDs (1, 7, 8, 10, 25) that track cross-process memory operations and handle access, security teams can proactively hunt for defense-evasion activities, investigate EDR alerts, or validate security monitoring coverage.

A comprehensive guide for authorized penetration testing, demonstrating how to identify and exploit critical vulnerabilities in the SMB protocol (e.g., EternalBlue, PrintNightmare). This skill covers network enumeration, lateral movement techniques (Pass-the-Hash, SMB Relay), and post-exploitation activities using Metasploit and Impacket tools to assess enterprise network security posture.

Tetragon utilizes eBPF technology to provide deep, low-overhead security observability and runtime enforcement directly within Kubernetes clusters. It monitors system calls, process execution, file access, and network connections at the kernel level, allowing users to detect or block dangerous activities like container escapes or privilege escalation, ensuring robust cluster security and compliance.

A comprehensive guide to investigating AWS account compromises by querying CloudTrail logs. Use boto3 or AWS Athena to filter suspicious activities—such as unauthorized API calls, S3 data exfiltration, or IAM privilege escalation—to reconstruct a detailed attacker timeline and generate a professional forensic report.