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.

Structures completed intrusion investigations with the Diamond Model by documenting adversaries, capabilities, infrastructure, and victims plus their relationships, metadata, and pivots to cluster incidents and support campaign attribution, confidence scoring, and analytic write-ups.

Conduct hypothesis-driven threat hunting for Command-and-Control (C2) activity (T1071). This skill guides the analysis of SIEM/EDR network telemetry to detect anomalous outbound traffic, rare destination IPs, non-standard ports, and unusual connection frequencies, helping identify beaconing or data exfiltration attempts. Essential for proactive defense and incident response.

This skill guides the implementation of a full Cyber Threat Intelligence (CTI) program across the six-phase intelligence lifecycle. It covers defining intelligence requirements (PIRs), building collection pipelines, normalizing data, performing analysis, and managing feedback loops. Ideal for maturing existing CTI teams or establishing foundational security intelligence capabilities.

This skill guides the end-to-end management of the Cyber Threat Intelligence (CTI) lifecycle. It covers defining Priority Intelligence Requirements (PIRs), planning data collection, processing data, performing multi-level analysis (Strategic, Operational, Tactical), disseminating tailored reports, and establishing continuous feedback loops to ensure intelligence relevance and maturity.

A comprehensive guide detailing techniques for detecting and exploiting Blind Server-Side Request Forgery (SSRF). It uses advanced out-of-band (OOB) techniques, such as Burp Collaborator and timing analysis, to interact with internal services, scan private IP ranges, and extract cloud metadata (AWS, GCP, Azure) even when the application does not reflect the server response directly. Essential for web application penetration testing.

This skill detects covert data exfiltration occurring over DNS tunnels. It analyzes DNS query names by computing Shannon entropy, examining query length distributions, and identifying high subdomain cardinality. It is essential for security operations, incident response, and proactive threat hunting when suspicious or encoded DNS activity is suspected.

This skill guides comprehensive digital forensics investigations on compromised endpoints. It covers evidence collection (memory acquisition, disk imaging) and deep artifact analysis, including volatile data, MFT records, and prefetch files. Use it for incident response, legal evidence collection, and determining the scope of a breach by reconstructing attacker timelines.

A comprehensive guide detailing the process of acquiring and analyzing data from smartphones and tablets. It covers best practices for device isolation, physical/logical acquisition using tools like Cellebrite UFED and open-source alternatives (ALEAPP, iLEAPP), and subsequent deep analysis of communications, call logs, and application artifacts for legal or corporate investigations.

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.

Automates deep packet inspection using tshark and pyshark on PCAP files. This tool is designed for cybersecurity professionals to perform structured network forensics, compute protocol distribution, detect suspicious activity (like port scans, beaconing, and data exfiltration), extract critical IOCs (IPs, domains, URLs), and identify advanced threats such as DNS tunneling patterns. Ideal for incident response and security auditing.