Skill UI

A comprehensive guide covering methodologies for conducting authorized penetration testing across major cloud platforms, including AWS, Azure, and GCP. It details the shared responsibility model, techniques for exploiting IAM misconfigurations, testing for SSRF vulnerabilities to cloud metadata services, and utilizing industry tools like Pacu and ScoutSuite. Findings are mapped to the MITRE ATT&CK Cloud matrix for robust reporting.

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.

Detect unauthorized crypto-mining in AWS, Azure, and GCP by correlating GuardDuty/Defender/SCC findings, compute anomalies, network flows, and container/serverless behaviors to validate threats and guide response.

A comprehensive guide for authorized penetration testers on identifying and exploiting insecure deserialization vulnerabilities across multiple languages (Java, PHP, Python, .NET). Covers techniques for generating payloads using tools like ysoserial and phpggc, and testing various application components such as cookies, HTTP parameters, and message queues to achieve potential Remote Code Execution (RCE).

This skill provides a comprehensive guide on implementing AES-256-GCM, a robust symmetric block cipher, for protecting sensitive data at rest. It covers best practices including secure key derivation (using PBKDF2 and Argon2id), proper management of initialization vectors (IVs) and nonces, and utilizing authenticated encryption to ensure data integrity and detect tampering.

A comprehensive guide for implementing Cloud Security Posture Management (CSPM) across multi-cloud environments (AWS, Azure, GCP). Learn how to use specialized tools like Prowler and ScoutSuite, combined with native cloud services (Security Hub, Defender, SCC), to continuously monitor for misconfigurations, compliance violations (CIS, SOC 2), and security drifts, thereby enforcing security guardrails in complex cloud architectures.

This utility implements comprehensive Cloud Workload Protection (CWPP) by monitoring compute workloads on cloud instances (EC2/GCE). It provides runtime security controls, detecting process anomalies, unauthorized binary execution, cryptomining activity, and suspicious network connections using AWS and Google APIs. Ideal for establishing robust security postures and meeting compliance requirements.

Cartography is a CNCF project designed to perform comprehensive cloud asset inventory across AWS, GCP, and Azure. It queries cloud APIs to aggregate infrastructure resources, map complex relationships (like IAM permissions and network paths), and store them in a Neo4j graph database. This allows security teams to visualize potential attack paths, conduct deep security audits, and identify cross-cloud misconfigurations.

Provides a workflow for authorized penetration testing across AWS, Azure, and GCP to discover IAM, storage, serverless, and compute weaknesses, leveraging Pacu, ScoutSuite, Prowler, and cloud-native tools.

This skill guide provides a comprehensive framework for automating the secure rotation of service account credentials. It addresses the challenge of managing long-lived secrets across diverse environments, including Active Directory, AWS, GCP, Azure, and databases. By implementing centralized secrets management (like HashiCorp Vault) and automated workflows, users can systematically eliminate stale credentials, dramatically reducing the risk of security breaches and non-compliance.

This comprehensive workflow guides the design, optimization, and deployment of scalable, cost-effective Google Cloud Platform (GCP) architectures for both startups and large enterprises. It covers the full lifecycle, from gathering detailed requirements (compliance, SLA) and recommending optimal patterns (Serverless, GKE, Data Pipelines) to estimating costs, generating Infrastructure as Code (IaC) using Terraform, setting up CI/CD pipelines, and completing a thorough security review.

Checks AWS, Azure, and GCP configurations for IAM escalation paths, public storage exposure, open security groups, and IaC gaps, providing preventive findings with MITRE mapping for cloud posture management workflows.