Skill UI

A comprehensive playbook for testing security flaws in OAuth 2.0 and OpenID Connect (OIDC) implementations. Use this guide to systematically check for misconfigurations in redirect URI handling, state and nonce validation, PKCE enforcement, token audience/issuer checks, and account binding vulnerabilities. Essential for reviewing applications linked to external identity providers.

A comprehensive methodology for identifying critical vulnerabilities in transactional applications (e-commerce, fintech, SaaS). This goes beyond standard OWASP Top 10 checks, focusing on flaws like workflow bypass, state machine violations, price manipulation, and role boundary abuse. It guides testers to map application flows, identify hidden endpoints, and quantify the potential financial impact of logic failures.

This skill provides a comprehensive playbook for testing the security of SAML-based Single Sign-On (SSO) solutions. It focuses on validating assertion trust by checking signature coverage, audience and recipient restrictions, handling of Assertion Consumer Service (ACS), and identifying potential XML parsing weaknesses or IdP/SP confusion flaws. Use this when evaluating enterprise authentication systems for critical security vulnerabilities.

This comprehensive playbook details expert techniques for exploiting Server-Side Request Forgery (SSRF). It covers bypassing URL filters, accessing cloud metadata endpoints (AWS, GCP, Azure), utilizing advanced protocols like Gopher, and chaining vulnerabilities to achieve Remote Code Execution (RCE) in real-world scenarios. Ideal for penetration testers and security researchers.

This playbook details the methodology for detecting and exploiting subdomain takeover vulnerabilities. It focuses on identifying CNAME/NS/MX records pointing to deprovisioned or unclaimed cloud resources (e.g., AWS S3 buckets, Heroku apps). Understanding these weaknesses allows attackers to serve malicious content under the victim's trusted domain, leading to phishing, credential theft, and security bypasses.

This workflow systematically analyzes deployed AWS resources and Infrastructure-as-Code (IaC) definitions. It collects usage metrics from CloudWatch and Cost Explorer to identify over-provisioning, unused resources, and inefficient configurations (e.g., right-sizing EC2, S3 lifecycle policies). It generates actionable cost optimization recommendations and creates structured GitHub issues for tracking and implementing savings.

This skill allows users to query the current state of various AWS resources (including EC2, S3, Lambda, RDS, VPC, etc.) using natural language. It translates user intent into strictly read-only AWS CLI commands (e.g., `describe-*`, `list-*`). Crucially, this tool can only view data and is contractually incapable of performing any write, modify, delete, or mutation actions, ensuring maximum safety.

This automated workflow performs a comprehensive review against the AWS Well-Architected Framework (WAF). It scans IaC definitions (Terraform, CloudFormation, CDK) and deployed resources to identify compliance gaps, security risks, and optimization opportunities across six core pillars. Findings are structured and automatically generated as actionable GitHub issues with remediation code examples.

Luna serves as the final quality gate, rigorously reviewing code for objective correctness, security vulnerabilities, and overall reliability. It checks for critical flaws such as injection vulnerabilities, authorization bypasses, race conditions, and adherence to the architectural blueprint. It ensures that only high-quality, safe code progresses to QA and deployment.

An adversarial Quality Assurance (QA) pass designed to deep-dive into any codebase for logic errors, security flaws, and functional bugs. Instead of confirming that code 'looks right,' this skill actively attempts to break the code by simulating hostile inputs, tracing critical data paths, and checking for subtle, real-world correctness issues. Essential for high-stakes, critical code reviews.

A comprehensive, pre-deployment, defense-in-depth security audit tool for Solidity smart contracts built with Foundry. It combines static analysis (Slither, Aderyn), symbolic execution (Mythril), property-based fuzz testing, and key hygiene checks to proactively detect critical vulnerabilities like reentrancy, access control flaws, and arithmetic bugs before deployment to any EVM chain.

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.