Skill UI

A comprehensive methodology for exploiting Time-of-Check / Time-of-Use (TOCTOU) race conditions across diverse system layers. This covers symlink swaps, file-descriptor races, kernel double-fetch vulnerabilities, and advanced window-widening primitives like FUSE slow filesystems and userfaultfd. Essential for security researchers targeting race-based privilege escalation in binaries, kernels, and container orchestrators.

This skill provides deep security review for GitHub Actions workflow files. It focuses on the unique Actions threat model—identifying vulnerabilities like script injection via ${{ }} interpolation, privilege escalation from triggers (e.g., pull_request_target), and ensuring least-privilege permissions for CI/CD pipelines. Use it to audit, secure, or harden existing workflows, preventing attacks from untrusted inputs and supply chain risks.

This tool audits Kubernetes Role-Based Access Control (RBAC) configurations to systematically identify overly permissive roles, dangerous wildcards, and insecure ClusterRoleBindings. It helps pinpoint potential privilege escalation paths, service account abuses, and compliance gaps in EKS, GKE, and AKS clusters, ensuring adherence to the principle of least privilege.

This skill uses Python and boto3 to analyze AWS CloudTrail logs. It establishes statistical baselines of normal API activity and detects various anomalies, such as unusual event sources, first-time API usage, geographic IP deviations, and high-frequency calls. This is critical for identifying credential compromise, privilege escalation, and unauthorized resource access in a security incident.

Finds over-permissive RBAC roles and service-account token abuse paths in a Kubernetes cluster using kubectl auth can-i, rbac-police, kubectl-who-can, and rakkess, tracing which subjects can escalate toward cluster-admin. Use when reviewing who can escalate privileges in a cluster, hunting exploitable RoleBindings during an authorized review, or validating least privilege after an RBAC change.

A specialized, read-only tool designed for penetration testing and red teaming. It performs comprehensive enumeration across AWS and Azure, allowing users to build a deep situational awareness of an environment. Key functions include identifying internet-exposed endpoints, retrieving sensitive secrets, and mapping critical trust relationships (like sts:AssumeRole) necessary for planning lateral movement or privilege escalation.

A comprehensive framework for authorized AWS penetration testing and red-teaming. This skill automates end-to-end cloud exploitation using Pacu, covering session management, deep IAM enumeration, automated privilege escalation scanning, and establishing persistence backdoors. It is designed to assess the full blast radius of compromised cloud credentials.

A comprehensive tool for authorized red-team engagements, designed to map complex on-prem Active Directory and cloud Entra ID attack paths. It uses SharpHound and AzureHound to collect rich data, ingesting it into BloodHound CE for analysis using built-in queries and custom Cypher. Effectively identifies privilege escalation chains leading to domain or tenant compromise, especially in hybrid identity environments.

GraphRunner is a powerful PowerShell toolset built on the Microsoft Graph API, designed for authorized red-teaming engagements against M365/Entra ID tenants. After obtaining a valid Graph token, it enables reconnaissance, establishes persistence (e.g., injecting OAuth apps and inbox rules), performs privilege escalation, and exfiltrates sensitive data from mailboxes, SharePoint, and Teams. Use only in authorized testing environments.

A comprehensive, authorized methodology for security assessments covering cloud platforms, container runtimes, and Kubernetes clusters. It guides users through checking critical areas such as IAM privilege escalation, metadata SSRF, container escape paths, and granular RBAC misconfigurations, ensuring testing is systematic and non-destructive.

This specialized skill is designed for deep forensic analysis in complex Windows environments, crucial for CTF and red teaming. It traces identity flows, including Active Directory (AD) origins, Kerberos ticket lifecycles, and OAuth authorization claims. Use it to correlate host artifacts (LSA, DPAPI, Sysmon) with identity evidence to map complete lateral movement and privilege escalation chains.

A specialized downstream skill for deep security analysis of JSON Web Tokens (JWT), JWS, and JWE. It guides the identification of vulnerabilities where token components (headers, claims, keying) lead to unauthorized identity assumption or privilege escalation. Use this to trace the full path from token supply to final application acceptance.