Skill UI

Deploy Zeek for passive network analysis to generate structured logs (DNS, HTTP, etc.). This tool detects behavioral anomalies like DNS tunneling or beaconing, complementing traditional signature-based IDS tools. It is ideal for threat hunting and incident response, feeding rich protocol metadata into SIEM platforms.

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 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.

A comprehensive guide detailing how to perform rapid malware triage and classification using YARA rules. Learn to write sophisticated rules that match file patterns, unique strings, byte sequences, and structural PE characteristics. Ideal for automating signature-based scanning, developing custom detection rules for zero-day threats, and building robust analysis pipelines.

This skill demonstrates how to craft and inject custom, malformed, or spoofed network packets using tools like Scapy and hping3. It is designed for authorized cybersecurity assessments to rigorously test firewall rules, Intrusion Detection/Prevention Systems (IDS/IPS) signatures, anti-spoofing controls, and overall network stack resilience against protocol anomalies and fragmentation attacks. Use only in controlled, authorized environments.

This guide details the process of developing precise YARA and YARA-X rules for advanced malware detection. It teaches analysts how to analyze unpacked malware artifacts—such as unique strings, byte sequences, and PE header traits—to extract stable detection anchors. This skill is crucial for threat hunting, malware family classification, and automating the creation of robust security signatures while aggressively minimizing false positives.

This comprehensive guide details a step-by-step workflow for reverse engineering malware binaries using Ghidra. It guides users through static and dynamic analysis techniques to study internal logic, C2 communication protocols, cryptographic routines, and obfuscation methods at the assembly and pseudo-C code level. Use this when deep code review is required to extract configuration data, understand exploit mechanisms, or develop detection signatures.

Assesses AI/ML systems for prompt injection, jailbreak, model inversion, data poisoning, and agent tool abuse using MITRE ATLAS mapping, signature detection, and scoring metrics before deployment.