Skill UI

A comprehensive guide and toolkit for analyzing malware Command-and-Control (C2) communication. This method helps security analysts reverse engineer network traffic captured from malware samples, identifying beaconing patterns, decoding custom protocols (HTTP, DNS, etc.), and mapping C2 infrastructure for advanced threat detection and threat intelligence gathering.

This skill automates the execution of suspicious malware samples within a secure, isolated Cuckoo Sandbox environment. It observes comprehensive runtime behaviors, including process creation chains, file system tampering, registry modifications, network communications, and API calls. It is essential for generating detailed behavioral reports, extracting Indicators of Compromise (IOCs), and classifying unknown malware samples.

A comprehensive tool for detecting and analyzing covert communication channels used by sophisticated malware. It focuses on identifying anomalies in network traffic, such as DNS tunneling, ICMP exfiltration, and steganographic HTTP abuse, which are used for Command and Control (C2) communication and data exfiltration. Ideal for security incident response, threat hunting, and building advanced network detection rules.

A comprehensive guide for analyzing PCAP files captured during malware execution. It demonstrates advanced techniques using Wireshark, Zeek, Suricata, and Python (scapy) to identify Command and Control (C2) communications, data exfiltration channels, Domain Generation Algorithms (DGA), and periodic beaconing patterns. Essential for malware reverse engineering and network threat detection.

This framework provides structured templates for managing communications during malware incidents. It generates tailored reports for various stakeholders, including C-level executives, technical IT teams, and regulatory bodies. The system accounts for severity levels (P1-P4) and different threat types, ensuring consistent, timely, and compliant information dissemination during a crisis.

A comprehensive guide for conducting penetration testing on iOS and Android mobile applications, adhering to the OWASP MASTG. This skill covers the full mobile attack surface, including static analysis of binaries, dynamic runtime testing, and deep API security assessment. Techniques taught include bypassing certificate pinning, analyzing local data storage (Keychain, SQLite), and identifying vulnerabilities in authentication and network communication.

TLS 1.3 is the latest Transport Layer Security protocol, offering significant security and performance improvements over TLS 1.2. This guide details how to configure and validate TLS 1.3 on various environments, including Nginx, Apache, and Python applications. It covers advanced topics such as Perfect Forward Secrecy (PFS), HSTS implementation, modern cipher suites, and best practices for securing modern web services.

This skill deploys advanced anomaly detection systems for Operational Technology (OT) and Industrial Control Systems (ICS). It builds multi-dimensional baselines by analyzing SCADA communications, network traffic (Modbus, DNP3, OPC UA), and timing patterns. It detects deviations, rogue devices, and potential intrusions by profiling normal behavior, complementing signature-based IDS.

This skill provides methods and tools for detecting sophisticated cyber attacks targeting Supervisory Control and Data Acquisition (SCADA) and Industrial Control Systems (ICS). It focuses on detecting anomalies like unauthorized command injection, Man-in-the-Middle attacks on industrial protocols (Modbus, DNP3), and data manipulation, which traditional IT security tools often miss. Usage involves establishing deterministic communication baselines and monitoring network traffic for deviations.

A specialized tool for detecting anomalies within DNP3 (Distributed Network Protocol 3) communications used in critical SCADA and energy sector infrastructure. It employs deep packet inspection and baseline comparison to monitor for unauthorized control commands, protocol violations, suspicious firmware update attempts, and deviations from established operational traffic patterns.

A comprehensive skill designed for advanced security analysis, detecting malicious behaviors across mobile applications (Android/iOS). It performs multi-layered analysis, including static indicator checks (permissions, manifest), dynamic instrumentation via Frida, network traffic monitoring (C2 communication, exfiltration), and automated scanning (MobSF). Use this when investigating suspicious apps, detecting trojans, or performing malware triage.

A specialized Intrusion Detection System (IDS) designed for Operational Technology (OT) and Industrial Control Systems (ICS). It monitors Modbus TCP/RTU traffic to detect unauthorized write operations, anomalous function codes, malformed frames, and deviations from established communication baselines. Essential for securing SCADA environments against attacks like FrostyGoop.