Skill UI

A comprehensive guide detailing the structured process for responding to phishing incidents. It covers email header analysis, malicious content sandboxing (URLs/attachments), scoping the impact across the organization, and performing thorough remediation, including mailbox purging and credential reset.

This skill provides a structured approach to monitoring and analyzing data leak sites (DLS) maintained by ransomware groups. By extracting structured data on victim postings, threat group tactics, and sector-specific details, users can assess current ransomware risk, track attack trends, and proactively build robust defense strategies.

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.

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 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.

This technique exploits the Active Directory attribute `msDS-KeyCredentialLink` by injecting attacker-controlled public keys (Shadow Credentials). Using tools like pyWhisker and Certipy, the attacker forces the target account to register a new key. Subsequently, by leveraging PKINIT (Public Key Cryptography for Initial Authentication in Kerberos), the attacker can obtain a service ticket and recover the target's NT hash, achieving a stealthy, password-less, complete account takeover.

This tool provides a comprehensive security assessment framework for Retrieval-Augmented Generation (RAG) systems and vector databases. It tests critical vulnerabilities such as embedding inversion, cross-tenant data leakage, knowledge-base poisoning, and retrieval manipulation, aligning with OWASP LLM08:2025 standards. It is essential for validating the security posture of multi-tenant and vector-search applications.

ROADtools is a comprehensive offensive toolkit for Microsoft Entra ID (Azure AD). It consists of ROADrecon for offline directory enumeration (users, groups, roles, policies) and roadtx for advanced token acquisition and exchange. It is designed for authorized red-teaming and penetration testing to discover attack paths and pivot tokens across various Microsoft resources.

This skill provides comprehensive security auditing for Model Context Protocol (MCP) servers and their associated tool metadata. It is designed to detect sophisticated supply chain attacks, including tool poisoning (indirect prompt injection), Server-Side Request Forgery (SSRF), tool shadowing, and unauthenticated exposure. It is essential for securing AI agent stacks before integrating new tools or during CI/CD processes.

A comprehensive tool and methodology for identifying and preventing dependency confusion attacks across major package ecosystems (npm, PyPI, Maven). It detects instances where internal, private package names are leaked and subsequently published publicly by attackers. The skill provides both detection (enumerating claimable internal names) and prevention strategies (enforcing registry pinning and scope restrictions) to secure the software supply chain.

This skill detects malicious, misspelled, or brand-jacked package names (typosquatting) across major ecosystems (npm, PyPI, crates.io). It uses advanced techniques like edit-distance and keyboard-proximity analysis, powered by tools like typomania and OSSGadget, to flag potential supply chain attacks *before* a dependency is installed. It is essential for implementing robust CI/CD security gates and proactive dependency screening.

This skill guides the end-to-end process of supply chain security by generating standards-compliant Software Bills of Materials (SBOMs) in CycloneDX and SPDX formats. It details using Syft to create inventories, correlating them with vulnerability intelligence via Grype, enforcing CI/CD gates based on severity, and establishing verifiable provenance using Cosign signing. Essential for modern DevSecOps practices.