Skill UI

This tool provides comprehensive security assessments for the entire IoT ecosystem, including physical hardware, embedded firmware, network communications, and cloud APIs. Testers can perform deep dives using hardware debugging (UART/JTAG), firmware extraction and reverse engineering, analyzing protocols (MQTT, CoAP, BLE), and simulating cloud-to-device attacks to identify vulnerabilities across all layers of the smart device stack.

This tool automates the process of executing the JWT none algorithm attack. It demonstrates how to bypass signature verification by setting the 'alg' header to 'none' in a JSON Web Token. This vulnerability allows attackers to forge tokens with arbitrary claims, such as escalating privileges or impersonating other users, and is crucial for penetration testing and API security auditing.

This comprehensive skill guides the process of rapid malware triage and classification using YARA rules. It covers advanced techniques for writing detection rules based on unique strings, specific byte sequences, and structural PE characteristics. It is essential for security analysts building automated detection pipelines, scanning endpoints, or performing large-scale threat hunting across an enterprise environment.

This skill details how to conduct comprehensive Operational Technology (OT) vulnerability assessments using platforms like Claroty xDome. It covers passive asset discovery, correlating vulnerabilities against CISA/ICS-CERT advisories, calculating risk scores, and prioritizing remediation based on operational impact and compliance standards (e.g., IEC 62443, NERC CIP). The provided workflow uses Python to manage asset inventory and vulnerability matching for highly regulated industrial environments.

This skill guide provides a comprehensive framework for automating the secure rotation of service account credentials. It addresses the challenge of managing long-lived secrets across diverse environments, including Active Directory, AWS, GCP, Azure, and databases. By implementing centralized secrets management (like HashiCorp Vault) and automated workflows, users can systematically eliminate stale credentials, dramatically reducing the risk of security breaches and non-compliance.

This skill demonstrates how to use PyMISP, the official Python library, to programmatically interact with the MISP threat intelligence platform. Users can create, enrich, and manage structured threat events, including adding Indicators of Compromise (IOCs), applying TLP/MITRE ATT&CK tags, and exporting data in STIX 2.1 format for cross-platform sharing, making it ideal for security assessments and incident response.

A comprehensive tool designed to simulate advanced Layer 2 network attacks, including VLAN hopping, switch spoofing (DTP attacks), and double tagging. This skill is critical for authorized penetration testing environments to validate the effectiveness of VLAN segmentation, analyze 802.1Q trunking robustness, and ensure switch port security configurations are correctly implemented against Layer 2 bypass attacks.

This tool guides the process of reviewing security findings from DAST and SAST scanners. It uses the OWASP risk rating methodology to classify vulnerabilities (true positive, false positive, needs review) and calculate a comprehensive risk score based on likelihood and impact, ensuring development teams prioritize the most critical issues.

This skill provides a comprehensive guide to the Common Vulnerability Scoring System (CVSS v4.0), the industry standard for assessing vulnerability severity. It teaches users how to calculate CVSS scores using Base, Threat, and Environmental metrics, and crucially, how to integrate real-world context like EPSS scores and CISA KEV listings for advanced, actionable risk prioritization in security operations.

This comprehensive pipeline guides users from a vague research concept to a fully structured, testable academic proposal. It first refines the core methodology (research-refine) to establish a stable thesis, and then generates a detailed, claim-driven experiment roadmap (experiment-plan). This end-to-end workflow ensures that the final academic output is both elegant and empirically validated.

Kubesec is a powerful open-source tool designed to perform comprehensive security risk analysis on Kubernetes resource manifests (YAML/JSON). It automatically detects critical misconfigurations, potential privilege escalation vectors, and deviations from industry security best practices. It provides actionable scoring and hardening recommendations, making it essential for CI/CD pipelines, security auditing, and automated compliance checks.

This skill provides comprehensive guidance on hardening GitHub Actions CI/CD pipelines against modern supply chain attacks, credential theft, and privilege escalation. It teaches best practices such as pinning actions to immutable SHA digests, minimizing GITHUB_TOKEN permissions, preventing script injection from untrusted inputs, and implementing required approval gates for critical deployments.