Skill UI

The Metasploit Framework is the industry standard platform for penetration testing and vulnerability validation. It provides numerous modules (exploits, payloads, auxiliaries) used to confirm if identified security weaknesses are genuinely exploitable. This guide details using Metasploit in a structured, risk-based workflow for authorized testing, including vulnerability checking, post-exploitation assessment, and patch verification.

A comprehensive guide and method for extracting and analyzing digital forensic artifacts from major web browsers, including Chrome, Firefox, and Edge. This process retrieves critical data such as web history, cookies, cached items, downloads, and bookmarks to reconstruct user web activity trails for deep cybersecurity and digital forensics investigations.

A comprehensive tool for security analysts to hunt for malicious PowerShell activity. It analyzes Windows Event Log (EVTX) files by parsing Script Block Logging (Event 4104), Module Logging (4103), and process creation events. Detects obfuscated commands, AMSI bypass attempts, encoded payloads, and credential dumping techniques crucial for incident response and threat hunting.

This skill provides advanced threat hunting techniques to detect unauthorized data exfiltration. It guides the analysis of network traffic, DNS queries, and cloud uploads to identify unusual data flows, DNS tunneling, and abuse of encrypted channels, essential for incident response and preventing data loss.

Provides a structured methodology for proactive threat hunting against Living-off-the-Land Binaries (LOLBins). It guides practitioners in identifying techniques where adversaries abuse legitimate system tools (like certutil, mshta, rundll32) to execute payloads while bypassing traditional security controls (AV/EDR). Ideal for incident response, red team validation, and improving detection coverage against fileless attacks.

Scans web server roots for high-entropy files, suspicious PHP/JSP/ASP payloads, and recent modifications to flag obfuscated webshells via entropy thresholds, regex signatures, and file metadata.

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.

This skill implements the Diamond Model framework, providing a structured approach to analyzing complex cyber intrusions. It allows users to programmatically classify and correlate events based on four core elements: Adversary, Capability, Infrastructure, and Victim. Key functionalities include building activity threads, identifying pivot points, and generating comprehensive, pivot-ready threat intelligence reports.

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.

This guide details how to implement Kubernetes Pod Security Standards (PSS) using the Pod Security Admission (PSA) controller. PSS defines three mandatory security levels—Privileged, Baseline, and Restricted—for container workloads. It is essential for enhancing security posture, ensuring compliance, and migrating away from deprecated PodSecurityPolicy (PSP) controls by applying namespace labels and defining compliant pod specifications.

This guide details the implementation of microsegmentation using Akamai Guardicore, enabling organizations to map complex application dependencies, visualize east-west traffic flows, and enforce least-privilege network policies. It is crucial for achieving zero-trust compliance by preventing lateral movement across heterogeneous workloads in data centers, cloud environments, and Kubernetes clusters.

This comprehensive guide details the deployment of HashiCorp Vault for robust, centralized secrets management in hybrid and multi-cloud environments. It covers configuring dynamic secret engines for databases (PostgreSQL) and cloud providers (AWS), integrating diverse authentication methods (OIDC, AppRole, Kubernetes), and securely delivering short-lived secrets to Kubernetes workloads via agents. The primary goal is to enforce zero-trust principles by eliminating hardcoded, long-lived credentials from application code and CI/CD pipelines.