Skill UI

A comprehensive guide and analysis framework for detecting compromised Office 365 or Google Workspace email accounts. It focuses on analyzing unified audit logs and Azure AD sign-in logs to identify indicators of account takeover (ATO) or Business Email Compromise (BEC). Detection methods include monitoring impossible travel events, identifying malicious inbox rules (e.g., external forwarding or deletion rules), and analyzing suspicious Microsoft Graph API access patterns.

This skill detects DNS-based data exfiltration by analyzing Zeek dns.log files. It identifies indicators such as high Shannon entropy subdomains, oversized TXT/NULL records, and abnormal query volumes. Use it when investigating suspected DNS tunneling or covert C2 channels to enhance threat detection capabilities.

This skill provides comprehensive guidance and detection rules for identifying fileless malware, in-memory attacks, and living-off-the-land techniques. It covers detecting PowerShell exploitation, reflective DLL injection, WMI abuse, and registry-resident threats, enabling security teams to build robust detections when traditional antivirus fails.

This skill provides structured procedures and Python examples for detecting internal data exfiltration. It analyzes endpoint, cloud, and email logs by establishing behavioral baselines and performing statistical anomaly detection. Use cases include investigating insider threats, monitoring DLP policy violations, and building robust User and Entity Behavior Analytics (UEBA) rules for SOC teams.

A comprehensive guide and framework for detecting attacker lateral movement within enterprise networks. It details the use of network flow analysis (Zeek), authentication log review (Windows Event Logs, Kerberos), and dedicated SIEM correlation rules (Splunk, Elastic) to identify techniques like Pass-the-Hash and RDP hopping. Ideal for threat hunters and security engineers building detection pipelines.

This skill provides a structured methodology for detecting persistence and lateral movement via malicious scheduled tasks. It utilizes Sysmon Event IDs (1, 11) and Windows Security Events (4698/4702) to correlate process creation, task file writes, and task registration details. Ideal for threat hunting and building robust detection rules for T1053.005.

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.

This skill details the detection of Pass-the-Ticket (PtT) attacks, a critical credential theft technique. It instructs users on analyzing Windows Security Event IDs (4768, 4769, 4771) within SIEM platforms like Splunk or Elastic. Use cases include investigating security incidents, building advanced threat hunting queries, and validating SOC monitoring coverage for lateral movement attacks.

This comprehensive guide configures Fail2ban to implement a robust, layered defense mechanism for network security. It sets up custom filters and actions to automatically detect and mitigate threats such as port scanning, SSH brute force attempts, and network reconnaissance. By dynamically banning malicious IP addresses and providing security alerts, this skill significantly enhances the host-based intrusion prevention capabilities of your system.

Detects and prevents privilege escalation in Kubernetes pods by combining admission control, runtime monitoring, and audit log analysis. Covers security contexts, Linux capabilities, and syscall patterns. Use when investigating pods running as root or privileged, hardening workloads against in-pod escalation, or hunting for containers exceeding their intended scope.

A comprehensive skill for detecting early-stage ransomware indicators before data encryption occurs. It utilizes advanced network detection tools such as Zeek and Suricata, combined with SIEM correlation rules and threat intelligence feeds. This method monitors the entire pre-encryption kill chain, identifying precursor behaviors like initial access broker activity, Cobalt Strike C2 beaconing, credential harvesting (e.g., Mimikatz signatures), and data staging attempts, enabling timely incident response and containment.

This skill provides a structured method for analyzing Windows Security Event Logs (EVTX) to detect brute force attacks targeting RDP endpoints. It involves parsing failed logon events (Event ID 4625) and correlating them with successful logons (Event ID 4624), while also analyzing source IP frequency and NLA bypass attempts. Ideal for security incident investigation, blue-team threat hunting, and building SIEM detection rules.