Skill UI

Master systematic methodologies for using Shodan to perform deep reconnaissance during penetration testing. This skill covers querying exposed services, mapping assets, identifying vulnerable systems (CVEs), and utilizing advanced filters for IP ranges, geographical locations, and organizational data. Ideal for security researchers and ethical hackers.

This comprehensive guide provides a structured, multi-stage workflow for containing active security breaches. It details both short-term and long-term strategies, including network segmentation, endpoint isolation, credential revocation, and evidence preservation. Use this process during confirmed intrusions, ransomware attacks, or lateral movement events to effectively stop adversary activity and secure critical assets before eradication.

This skill guides the implementation of Mobile Application Management (MAM) policies, enabling robust data protection for corporate assets on both managed and unmanaged mobile devices (BYOD). It covers configuring app-level controls such as Data Loss Prevention (DLP), selective wiping, and containerization using platforms like Microsoft Intune and Azure AD. Use this when enforcing data separation between personal and work environments without requiring full device enrollment.

Provides a structured, risk-based framework for managing patches in Operational Technology (OT) and Industrial Control Systems (ICS). It addresses the critical difference between IT and OT environments, prioritizing safety and availability over immediate remediation. The guide covers risk scoring, vendor compatibility testing, staged deployment, and defining compensating controls for unpatchable assets.

This guide details the implementation of a robust, ransomware-resilient backup architecture following the extended 3-2-1-1-0 rule. It covers critical steps such as classifying assets, defining RPO/RTO, implementing immutable or air-gapped storage, and isolating backup credentials from the production domain. Use this knowledge to design a multilayered defense against data loss and ensure reliable recovery points.

Cartography syncs multi-cloud assets (AWS, GCP, Azure) into a Neo4j graph database. It maps relationships like IAM chains, network paths, and cross-account trusts, allowing security teams to conduct comprehensive asset inventories, identify complex attack paths, and generate detailed security reports across heterogeneous cloud environments.

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.

A comprehensive solution for performing Operational Technology (OT) vulnerability assessments using the Claroty xDome platform. It automatically discovers assets, correlates vulnerabilities using CVE and ICS-CERT advisories, and calculates risk scores. This method is designed for compliance requirements (e.g., IEC 62443, NERC CIP) and initial asset risk profiling, relying on passive monitoring and safe querying rather than active scanning or penetration testing.

This skill provides advanced techniques and code examples for monitoring, mapping, and pivoting across adversary-controlled infrastructure. It leverages Passive DNS, Certificate Transparency logs, Shodan/Censys scanning, and network fingerprinting (JARM/JA3S) to discover C2 servers, phishing domains, and exploitable assets over time, which is crucial for advanced security operations and threat intelligence gathering.

A comprehensive guide for engineering the migration from classical public-key cryptography to quantum-resistant standards. This skill covers building a Cryptographic Bill of Materials (CBOM) to inventory assets, prioritizing migration based on Harvest-Now-Decrypt-Later (HNDL) risk, and deploying hybrid PQC key exchange (e.g., X25519MLKEM768) on critical channels like TLS, VPN, and SSH. Essential for achieving long-term quantum readiness and crypto-agility.

Analyzes sensor data, maintenance history, and photos to diagnose machine failures. Prioritizes safety implications, ranks likely causes with evidence, suggests cheapest tests, and drafts preventive maintenance changes to reduce downtime. Supports batch mode for ranking bad actors across assets.