Skill UI

This guide details the methodology for conducting internal network penetration tests, simulating an attacker operating from an assumed breach state. It covers initial network reconnaissance, Active Directory enumeration, advanced credential harvesting techniques (e.g., Kerberoasting, Pass-the-Hash), and lateral movement exploitation to determine the full blast radius of a potential breach. Essential for comprehensive security auditing.

A comprehensive guide to conducting internal Active Directory reconnaissance using BloodHound Community Edition. This skill leverages graph theory to visualize hidden relationships, map shortest attack paths, and discover critical misconfigurations (like ACL weaknesses and Kerberoastable accounts) necessary for privilege escalation from low-privilege accounts to high-value targets like Domain Admins.

This guide outlines how to implement Google Cloud Identity-Aware Proxy (IAP) to enforce zero-trust, identity-based access control across various Google Cloud services (App Engine, Cloud Run, GKE, Compute Engine). It details configuring per-request authentication, context-aware policies (like device posture and location), and programmatic access management for highly secure internal applications.

Provides a comprehensive guide to configuring pfSense firewall rules, NAT policies, and VPN tunnels. It details best practices for enforcing network segmentation (DMZ, LAN, Guest, IOT), controlling traffic flow, and protecting internal network zones in SMB and enterprise environments. Covers VLAN setup, DHCP/DNS management, and granular access control.

This skill provides structured procedures and Python examples for detecting internal data exfiltration. It analyzes endpoint, cloud, and email logs by establishing behavioral baselines and performing statistical anomaly detection. Use cases include investigating insider threats, monitoring DLP policy violations, and building robust User and Entity Behavior Analytics (UEBA) rules for SOC teams.

This skill guides security testers in identifying excessive data exposure in REST and GraphQL APIs. It involves intercepting API responses and analyzing them for leaked Personally Identifiable Information (PII), internal identifiers, or sensitive business data that the client UI does not display but the API transmits. It maps directly to OWASP API3:2023 Broken Object Property Level Authorization, helping prevent data leaks via over-fetching.

A comprehensive guide detailing the methodology for identifying and exploiting Server-Side Request Forgery (SSRF). This technique is critical in authorized penetration testing, allowing attackers to pivot from public-facing applications to internal resources. Use cases include stealing cloud provider metadata (AWS, GCP), scanning private IP ranges, and accessing internal APIs and admin panels.

This utility integrates status updates and notifications with Feishu/Lark. It is designed as an internal, zero-impact tool that other complex skills (e.g., experiment runners, review loops) call to report key events like test completion, scoring results, or reaching a checkpoint. It supports both 'push' (fire-and-forget status updates) and 'interactive' (bidirectional approval/rejection) modes, ensuring seamless workflow visibility and robust operation even if configuration is missing.

API Security Posture Management (API-SPM) provides continuous, unified visibility into an organization's entire API attack surface. It automatically discovers, classifies, and risk-scores all APIs—including internal, external, and shadow endpoints. By aggregating findings from various sources (DAST, SAST, runtime logs), it helps enforce security policies, detect configuration drift, and maintain compliance across the entire API lifecycle.

This skill utilizes the Thinkst Canary REST API to programmatically deploy various decoy tokens, including web bugs, DNS records, MS Word documents, and AWS API keys. By monitoring these fake resources, the system detects unauthorized internal or external access attempts, providing early warnings and generating detailed deception coverage reports to strengthen security architecture.

This skill guides the deployment and configuration of Data Loss Prevention (DLP) controls directly on endpoints. It detects and prevents the unauthorized exfiltration of sensitive data (PII, PHI, PCI) via common vectors like email, USB drives, cloud storage uploads, and printing. Use this when establishing compliance policies (HIPAA, GDPR) or securing data against internal data movement risks.

The GCP Organization Policy Service allows administrators to enforce centralized security guardrails and governance policies across an entire resource hierarchy (organization, folder, project). By defining constraints (List, Boolean, Custom), users can restrict risky resource configurations, ensuring compliance with internal security standards and external regulations. Ideal for security architecture, compliance checks, and cloud governance implementation.