Skill UI

A comprehensive guide to executing cloud-native incident containment procedures across major platforms including AWS, Azure, and GCP. Learn how to systematically isolate compromised resources, revoke malicious credentials, apply network restrictions (Security Groups/ACLs), and capture forensic evidence to prevent lateral movement during a security event. Essential for security assessments and incident response.

This skill guides users on performing deep runtime threat detection and forensics in cloud-native environments using Falco. It leverages Falco YAML rules to monitor syscalls, detecting critical security events such as shell spawning, file tampering (e.g., /etc/shadow), network anomalies, and privilege escalation within containers and Kubernetes clusters. Ideal for incident response, security auditing, and validating container runtime security controls.

This skill enables sophisticated runtime dynamic analysis of Android applications using industry-standard tools like Frida and Objection. It is used to observe application behavior, intercept API calls, monitor network traffic, and bypass client-side security protections (e.g., root detection, anti-debugging). Essential for identifying vulnerabilities and analyzing obfuscated code that static analysis cannot reach.

This tool provides comprehensive security assessments for the entire IoT ecosystem, including physical hardware, embedded firmware, network communications, and cloud APIs. Testers can perform deep dives using hardware debugging (UART/JTAG), firmware extraction and reverse engineering, analyzing protocols (MQTT, CoAP, BLE), and simulating cloud-to-device attacks to identify vulnerabilities across all layers of the smart device stack.

This guide provides a comprehensive methodology for assessing the security posture of Kubernetes etcd clusters. It covers critical areas including encryption at rest (for secrets), TLS transport security, access control validation, secure backup procedures, and network isolation checks, ensuring cluster data integrity and confidentiality.

A comprehensive guide for systematically evaluating Kubernetes cluster security. It simulates advanced attacker techniques against critical components like the API server, etcd, kubelet, RBAC, and network policies, identifying misconfigurations and vulnerabilities. Essential for security auditors, penetration testers, and DevOps teams performing deep cluster security assessments.

This automated toolkit streamlines memory forensics using the Volatility3 framework. It is designed to analyze raw memory dumps from Windows, Linux, and macOS, revealing complex threats such as process injection, hidden rootkits, malicious code artifacts, and illicit network connections that traditional disk-based methods cannot detect. Essential for real-time incident response and deep security auditing.

A comprehensive guide and toolkit for performing digital forensic analysis on network packet captures (PCAP/PCAPNG). It details techniques using Wireshark, tshark, and tcpdump to reconstruct communications, extract sensitive data, identify malicious C2 traffic, and establish irrefutable evidence of security breaches or data exfiltration.

This skill automates deep packet capture (PCAP) analysis using tshark and pyshark. It is invaluable for security assessments and incident response, enabling the extraction of protocol statistics, identification of suspicious network flows (e.g., port scanning, beaconing), and comprehensive extraction of Indicators of Compromise (IOCs), including IPs, domains, and URLs. It also specializes in detecting complex anomalies like DNS tunneling.

Zeek is a powerful, open-source network security monitoring framework that generates high-fidelity structured logs and metadata from raw network traffic. This skill covers deploying Zeek, analyzing various protocol logs (HTTP, DNS, TLS, etc.), writing custom detection scripts to identify anomalies, and integrating resulting security insights with SIEM platforms for comprehensive threat detection and forensic investigation.

Open Source Intelligence (OSINT) is the critical first phase of red team engagements. This guide details how to systematically collect publicly available data about a target organization. It covers mapping network assets (domains, IPs), identifying personnel for social engineering, discovering credential leaks, and mapping the entire technology stack. Use this skill during authorized security assessments to build comprehensive attack surface maps and initial access strategies.

Conduct comprehensive security assessments for Operational Technology (OT) networks, including SCADA and DCS systems. This skill maps industrial protocols (Modbus, DNP3, OPC UA) and analyzes traffic against the Purdue Model. It is crucial for identifying IT/OT convergence risks, detecting misconfigurations, and ensuring compliance with standards like IEC 62443.