Skill UI

This skill provides a comprehensive guide to deploying Zeek (formerly Bro) for passive network security monitoring. It details how to generate structured logs (DNS, HTTP, SSL, etc.) and write custom Zeek scripts to detect sophisticated anomalies like DNS tunneling and beaconing. Ideal for threat hunting, security incident response, and complementing traditional IDS solutions.

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 guide details methods for detecting and mitigating OAuth token theft and replay attacks in cloud environments, specifically targeting Microsoft Entra ID (Azure AD). It covers protection against access token theft, Primary Refresh Token (PRT) abuse, and pass-the-cookie attacks. Users can leverage Conditional Access and Token Protection features to cryptographically bind tokens to devices, significantly enhancing cloud identity security and preventing session hijacking.

A comprehensive guide for proactive threat hunting and incident response, detailing how to detect Pass-the-Hash attacks. It involves analyzing NTLM authentication patterns, identifying suspicious Type 3 logons, and correlating these anomalies with credential dumping techniques using SIEM/EDR tools.

This skill provides a structured approach to detecting Pass-the-Ticket (PtT) attacks, a severe credential theft technique utilizing stolen Kerberos tickets (TGT/TGS). It involves analyzing Windows Security Event IDs (4768, 4769, 4771) within SIEM platforms like Splunk or Elastic. Use cases include incident response, building advanced threat hunting queries, and validating security monitoring coverage against MITRE ATT&CK techniques.

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.

A guide for security professionals and threat hunters to proactively detect advanced privilege escalation techniques across Windows and Linux environments. It covers critical attack methods including token manipulation, UAC bypass, unquoted service paths, and kernel exploits, utilizing EDR and SIEM data sources for comprehensive incident response and security assessments.

This skill provides comprehensive methods for detecting and preventing privilege escalation within Kubernetes pods and containers. It details using runtime tools like Falco for monitoring syscalls and capabilities, and implementing admission controls via OPA Gatekeeper or Pod Security Admission to enforce security best practices, thereby hardening the cluster against unauthorized access and dangerous configurations.

A comprehensive guide and methodology for detecting process hollowing (T1055.012). It involves advanced memory forensics, analyzing memory-mapped sections, and correlating parent-child process anomalies using EDR and Sysmon data to identify fileless and in-memory malware threats.

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 guide details advanced methods for detecting and preventing QR code phishing (quishing) attacks. It covers how malicious URLs embedded in images bypass traditional email security filters, requiring multimodal AI, OCR, and robust mobile threat defense solutions. Essential for SOC analysts and security teams.

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.