Skill UI

This skill provides a comprehensive solution for monitoring brand impersonation attacks across multiple digital vectors. It systematically scans domains, social media platforms, mobile app stores, and the dark web to detect phishing campaigns, typosquatting, and unauthorized brand usage. It is essential for security teams conducting proactive threat intelligence gathering and vulnerability assessments to safeguard brand integrity.

A comprehensive guide to executing the NIST Risk Management Framework (RMF) to achieve an Authorization to Operate (ATO). This covers the full lifecycle, including preparation, system categorization (FIPS 199), control selection and tailoring (SP 800-53 Rev 5), implementation, assessment (SAR), and continuous monitoring. Essential for organizations working under FISMA or FedRAMP.

Automated system designed to monitor paste sites (e.g., Pastebin, GitHub Gists) for leaked credentials, API keys, and sensitive data dumps. It uses advanced scraping, keyword matching, and regex patterns to provide early detection of data breaches and security incidents.

This skill details the process of building and maintaining a comprehensive anti-phishing training program. It covers establishing baseline susceptibility assessments, deploying regular, progressive simulations, and providing interactive, role-based learning modules (using platforms like KnowBe4 or Proofpoint). The focus is on measuring and improving the human layer of defense against social engineering and sophisticated phishing attempts, thereby fostering a continuous security culture.

A comprehensive guide to achieving compliance with the HIPAA Security Rule (45 CFR Part 164). This skill outlines the mandatory steps to protect electronic Protected Health Information (ePHI), including conducting thorough risk analyses, deploying administrative, physical, and technical safeguards, managing Business Associate Agreements (BAAs), and preparing for breach notifications and OCR audits. Essential for Covered Entities and Business Associates.

This skill guides the deployment of decoy files, or "canary tokens," across critical file systems. These files act as tripwires, monitoring for unauthorized changes (modification, deletion, renaming). By tracking these high-value decoys, systems can detect ransomware encryption activity in real-time, providing a low false-positive, high-fidelity detection layer that complements traditional EDR and backup solutions.

This skill details how to monitor Certificate Transparency (CT) logs using industry tools like crt.sh and Certstream. By analyzing publicly issued SSL/TLS certificates, users can proactively detect lookalike domains, unauthorized certificate issuance for owned assets, and early-stage phishing infrastructure targeting their organization. Ideal for SOC analysts and threat hunters.

A comprehensive guide for conducting authorized vishing (voice phishing) pretext calls. This technique, utilized in red-teaming, simulates an attacker impersonating a trusted authority (e.g., IT support, vendor) to test an organization's human security controls. It measures employee adherence to verification protocols and highlights vulnerabilities in staff security awareness.

This skill provides comprehensive functionality for monitoring and mapping adversary-controlled assets, such as C2 servers, phishing domains, and exploit kit hosts. By leveraging tools like Passive DNS, Certificate Transparency logs, and specialized scanners (Shodan/Censys), analysts can discover, track, and pivot through complex threat actor infrastructure over time, significantly enhancing security operations and threat intelligence maturity.

This guide outlines a comprehensive workflow for detecting and preventing the exposure of sensitive AWS credentials (access keys, session tokens) within source code repositories, CI/CD pipelines, and configuration files. It utilizes TruffleHog for deep historical scanning and integrates git-secrets for robust pre-commit hooks, significantly reducing the risk of credential theft and unauthorized account access.