Skill UI

This guide details the process of performing Active Directory reconnaissance using BloodHound and SharpHound. It leverages graph theory to visualize hidden trust relationships, group memberships, and ACLs, mapping the shortest attack paths from a low-privilege compromised user all the way to Domain Admin rights. This is essential for red-teaming, security auditing, and identifying critical misconfigurations.

This skill utilizes Impacket to perform comprehensive audits and simulated attacks on Active Directory forest trust relationships. It enumerates trust boundaries, analyzes SID filtering configurations, detects SID history abuse vectors, and assesses inter-realm Kerberos ticket risks. Ideal for red-teaming multi-forest environments or performing deep security audits to find cross-forest privilege escalation paths.

This guide details the methodology and tools for conducting authorized privilege escalation assessments within AWS environments. It systematically utilizes specialized tools like Pacu and Principal Mapper (PMapper) to identify critical IAM misconfigurations, excessive permissions, and weak cross-account trust relationships. It is essential for validating the principle of least privilege and assessing the potential blast radius of compromised credentials during authorized penetration testing.

Cartography syncs multi-cloud assets (AWS, GCP, Azure) into a Neo4j graph database. It maps relationships like IAM chains, network paths, and cross-account trusts, allowing security teams to conduct comprehensive asset inventories, identify complex attack paths, and generate detailed security reports across heterogeneous cloud environments.

This skill provides advanced techniques for bypassing SSL/TLS certificate pinning in Android and iOS applications. It supports interception of HTTPS traffic during authorized security assessments, covering pinning mechanisms like OkHttp, TrustManager, NSURLSession, and utilizes tools such as Frida and Objection for comprehensive testing.

Guides teams through designing, implementing, and evidencing SOC 2 Type II controls aligned with the AICPA Trust Services Criteria, covering scoping, control mapping, evidence collection, remediation, and audit collaboration for a six- to twelve-month examination.

This skill covers the technical process of setting up SSL/TLS inspection (decryption) on next-generation firewalls and proxies. It details how to act as a trusted Man-in-the-Middle to intercept, decrypt, and inspect encrypted HTTPS traffic for malicious payloads, data exfiltration, and policy violations. The workflow includes generating internal Certificate Authority (CA) certificates and deploying them across various operating systems (Windows, macOS, Linux) to ensure visibility into the web's encrypted blind spot.

A comprehensive guide to hardening container registries using Harbor. Learn how to enforce strict image provenance and deployment security by integrating vulnerability scanning (Trivy), cryptographic image signing (Cosign/Notary), granular Role-Based Access Control (RBAC), immutable tag policies, and content trust. Essential for environments requiring high compliance and robust supply chain security.

A comprehensive guide to hardening GitHub Actions CI/CD workflows against modern supply chain attacks, credential theft, and privilege escalation. Learn techniques such as pinning actions to immutable SHA digests, minimizing GITHUB_TOKEN permissions, preventing script injection from untrusted inputs, and implementing required review gates for secure deployment pipelines. Essential for any project handling production secrets or elevated permissions.

A comprehensive guide for preparing SaaS and cloud infrastructure companies for SOC 2 Type I and Type II audits. Covers mapping Trust Service Criteria (TSC), generating control matrices, performing thorough gap analysis, collecting evidence, and assessing overall compliance readiness across Security, Availability, Confidentiality, and Privacy domains. Essential for demonstrating operational trustworthiness to enterprise clients.

AKF is the native metadata format specifically designed for tracking AI-generated or AI-modified content. It allows users to stamp files (including DOCX, PDF, images, and code) with detailed trust scores, source provenance, and compliance metadata. This tool is essential for professional workflows requiring strict auditing, compliance assurance, and verifiable data lineage, especially concerning regulations like the EU AI Act, HIPAA, and SOX.

Use Clarvia AEO (Agent Experience Optimization) to score any MCP server, API, or CLI tool for agent-readiness. It evaluates 15,400+ AI tools across four dimensions—API accessibility, data structuring, agent compatibility, and trust signals—ensuring the components are robust enough for advanced AI agent workflows and dynamic selection processes.