Skill UI

A comprehensive framework for advanced sensing utilizing WiFi signals. It implements multistatic radar sensing, cross-viewpoint data fusion, RF tomography for volumetric imaging, and persistent field modeling. Features include pre-movement intention detection, biomechanics drift tracking, and robust mesh security hardening for research-grade deployments.

This advanced skill is designed for security research and CTF environments to trace subtle divergences in request handling across multiple network hops (proxies, gateways, backend servers). It focuses on identifying vulnerabilities stemming from differential interpretation of headers, path normalization, transfer framing (CL/TE), and host derivation, crucial for detecting request smuggling and parsing inconsistencies.

Provides a comprehensive framework for blue-team threat hunting and detection engineering. Users learn hypothesis-driven hunting techniques, optimize SIEM queries, and build robust detection rules using industry standards like Sigma and YARA. Essential for minimizing false positives and validating security controls in a defensive posture.

This guide outlines a structured methodology for authorized wireless security assessments. It covers essential techniques such as Wi-Fi data capture, WPA/WPA2 handshake analysis, and rogue Access Point detection. It is designed for assessing corporate network security, verifying wireless isolation, and providing professional penetration testing recommendations, strictly adhering to legal scope and authorization.

Authorized wireless security assessment skill for Wi-Fi capture, WPA handshake analysis, rogue AP detection research, and lab-only deauthentication testing. Includes workflow, toolchain, and safety guidelines for ethical use.

Capture, filter, and inspect network packets with Wireshark for security investigations, performance optimization, and troubleshooting. Covers credential analysis, malware C2 detection, and latency diagnosis.