Use this skill whenever the user asks to add, absorb, migrate, port, update, merge, compare, or extract security knowledge into the AboutSecurity repository from any external resource such as InternalAllTheThings, blog posts, tools, docs, PRs, screenshots, notes, or URLs. This skill SOPs the full workflow: first…
A methodology for testing the security of AI-agent systems that call tools, work with other agents, or make decisions autonomously. It covers ten risks from the OWASP Agentic AI Security Top 10, including prompt hijacking, excessive tool use, permission problems, and unsafe code execution.
A security-testing method for AI systems that examines data leaks, training-data exposure, and the integrity of retrieval-augmented generation (RAG) or vector databases. A vector database stores data in a form AI systems use to find related information.
A methodology for testing identity and permission security in AI systems, including agent authentication, roles, sessions, and MCP or API credentials. It covers attacks such as role escape, unauthorized actions, identity forgery, session hijacking, and credential misuse.
A security-testing method for attacks on an AI agent's intermediate reasoning in multi-step systems. Chain-of-Thought (CoT) means the reasoning steps an AI uses to reach an answer, while ReAct combines reasoning with actions.
A security-testing method for systems that combine traditional websites with AI or large language model components. It maps attacks that move from the website into the AI system, and from the AI system back into the website.
A security-testing method for MCP, or Model Context Protocol, integrations that let AI agents call external tools. It examines tool descriptions, schemas, instructions, tokens, and interactions between multiple MCP servers.
A security-testing method for indirect prompt injection, where instructions hidden in webpages, documents, emails, databases, or API responses influence an AI system. It also covers attacks on connected tools, retrieved data, and information handling.
A security-testing method for breaking or bypassing the instructions that control AI chatbots and agents. It covers techniques such as role-playing, code and language changes, context-window pressure, and attempts to replace system instructions.
A security-testing skill for finding system instructions, settings, tools, and stored information inside applications built with large language models.
A methodology for security testing of systems hosted on Alibaba Cloud. Alibaba Cloud services include platforms for servers, storage, databases, containers, and access control.
A method for analysing AWS access policies, including IAM policies, resource policies, Lambda code, and CloudFormation templates. AWS is Amazon’s cloud platform; IAM controls who can access its resources.
A general method guide for security testing of Amazon Web Services, a cloud platform that hosts storage, servers, functions, databases, and other services.
A methodology for attacking Microsoft Azure AD, now called Microsoft Entra ID, and related Microsoft 365 cloud identity systems. It covers ways attackers may obtain access, steal tokens, abuse application identities, and bypass some access controls.
A methodology for moving from a compromised Azure or Entra ID cloud account into an on-premises Active Directory network. Active Directory is commonly used to manage users and computers inside an organization.
A security-testing methodology for CI/CD pipelines—the automated systems that build, test, and deploy software—and their connected code repositories and cloud environments.
A playbook for using leaked cloud access keys and secret keys after they have been found in places such as environment files, Git history, or server-side request forgery (SSRF).
A playbook for testing Docker, a platform that runs applications in isolated containers. It covers the Docker daemon, registries, images, build outputs, and container escape risks.
A playbook for attacking Google Cloud Platform (GCP) environments, including service accounts, instance metadata, storage buckets, and Kubernetes Engine (GKE).