Skill UI

This skill guides users through analyzing suspicious URLs using the URLScan.io platform or API. It provides a safe environment to capture screenshots, DOM content, network traffic, and analyze JavaScript behavior to investigate phishing attempts, credential harvesting, and sophisticated malicious redirects without risking the analyst's system.

This tool analyzes network packet captures (PCAP) to detect covert communication channels used by malware for Command and Control (C2) and data exfiltration. It specifically focuses on identifying indicators of DNS tunneling, ICMP tunneling, and protocol abuse patterns, providing scoring and detailed reasons for suspicious activity. Useful for threat hunting and security incident investigation.

Examines packet captures, Zeek logs, and NetFlow data to uncover C2 channels, lateral movement, and exfiltration during security incidents, guiding analysts through capture, filtering, and IOC extraction workflows.

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.

A comprehensive guide for deep packet inspection and network forensics using Wireshark and tshark. This skill is critical for incident response, where it allows users to capture, filter, and analyze network packet data to identify malicious command-and-control traffic, diagnose complex protocol issues, extract indicators of compromise (IOCs), and reconstruct data exfiltration paths. Use it for validating security rules and understanding network anomalies.

A dedicated tool for forensic analysis of Windows PowerShell Script Block Logs (Event ID 4104) captured in EVTX files. It reconstructs multi-block scripts, applying advanced detection heuristics such as entropy analysis and pattern matching to identify obfuscated commands, encoded payloads (Base64), download cradles, and AMSI bypass attempts, crucial for threat hunting and incident response.

A comprehensive guide for collecting volatile forensic evidence from a compromised host while adhering to the order of volatility. This process captures critical data—including memory dumps, network connections, running processes, and system state—before the host is isolated or powered down. Essential for root cause analysis, fileless malware investigation, and maintaining a defensible chain of custody for legal proceedings.

A comprehensive guide for conducting authorized wireless network penetration tests. This skill assesses the overall security posture of WiFi infrastructure, covering weak encryption protocols, captive portal bypasses, Evil Twin attacks, WPA2/WPA3 handshake capture, and rogue access point detection. It evaluates wireless authentication methods, network segmentation, and the effectiveness of WIDS/WIPS systems.

A comprehensive guide for performing deep network forensics using Wireshark and tshark. This technique analyzes raw PCAP/PCAPNG files captured during security incidents to reconstruct network events, identify data exfiltration methods, extract sensitive artifacts (credentials, files), detect Command-and-Control (C2) communications, and pinpoint network indicators of compromise (IOCs). Ideal for digital forensics and incident response teams.

A comprehensive guide and framework for performing digital forensics analysis on PCAP/PCAPNG files. This skill covers using industry-standard tools like Wireshark, tshark, tcpdump, and Python/Scapy to reconstruct network communications, extract evidence of data exfiltration, identify command-and-control (C2) activity, and trace lateral movement during incident response.

CRM-lite workflow for GEO agencies to capture and nurture prospects through lead, qualification, proposal, and won/lost stages while recording audits, notes, and revenue forecasts from a persistent JSON store.

This skill helps developers structure and record critical architectural decisions (ADRs) made during coding sessions. It automatically detects moments of decision, capturing the context, alternatives considered, and the rationale (trade-offs and consequences). This maintains a living log that explains 'why' the code base was built the way it is, preventing knowledge loss and improving project maintainability.