Skill UI

This skill guides the systematic process of mitigating endpoint vulnerabilities. It involves calculating a comprehensive risk score by combining CVSS, EPSS, and CISA KEV data to prioritize findings. The workflow covers deployment of patches via platforms like WSUS/SCCM/Intune, applying necessary configuration changes, handling zero-day workarounds, and validating the fix to ensure endpoint compliance and system security.

This guide outlines systematic methodologies for reducing false positives in Security Information and Event Management (SIEM) systems. It covers advanced techniques including threshold tuning, multi-signal correlation enhancement, behavioral baseline integration, and threat intelligence filtering. Used by SOC analysts and detection engineers to combat alert fatigue and improve true positive detection rates.

A comprehensive guide for analyzing firmware images from embedded systems, IoT devices, routers, and specialized components like UEFI/BIOS. This skill covers advanced techniques including filesystem extraction, binary reverse engineering (using Ghidra/IDA), rootkit detection, and deep forensic analysis to uncover backdoors, implants, and supply chain compromises. Essential for cybersecurity professionals investigating compromised hardware.

This skill guides comprehensive Google Cloud Platform (GCP) security auditing. It uses GCPBucketBrute for enumerating storage buckets and testing access permissions. Furthermore, it analyzes gcloud IAM bindings to detect overly permissive roles, identify service account key exposure, and map potential privilege escalation paths, ensuring robust security assessment for cloud environments.

A comprehensive guide for performing authorized security assessments on GraphQL APIs. This skill covers key areas such as endpoint discovery, schema introspection, testing for authorization flaws (BOLA/BFLA), injection vulnerabilities (SQL/NoSQL), and denial-of-service risks. Essential for penetration testers and bug bounty researchers targeting modern web applications.

This skill provides a comprehensive, multi-stage guide for investigating insider threats. It covers the entire lifecycle, from receiving an allegation and ensuring legal authorization, to covert evidence collection (DLP logs, endpoint forensics), advanced user behavior pattern analysis, and reconstructing a detailed activity timeline for potential legal action. Essential for security incident response.

This guide provides a comprehensive methodology for assessing the security posture of Kubernetes etcd clusters. It covers critical areas including encryption at rest (for secrets), TLS transport security, access control validation, secure backup procedures, and network isolation checks, ensuring cluster data integrity and confidentiality.

A comprehensive guide for systematically evaluating Kubernetes cluster security. It simulates advanced attacker techniques against critical components like the API server, etcd, kubelet, RBAC, and network policies, identifying misconfigurations and vulnerabilities. Essential for security auditors, penetration testers, and DevOps teams performing deep cluster security assessments.

This guide details the comprehensive process of onboarding new log sources into Security Information and Event Management (SIEM) platforms. It covers critical steps including data source discovery, configuring collectors (e.g., Syslog, Splunk UF, CloudTrail), building parsers, normalizing fields to a common schema, and validating data quality. This systematic approach is essential for achieving complete security visibility and effective threat detection across the enterprise.

A comprehensive guide for digital forensics professionals on analyzing volatile memory dumps using Volatility 3. Learn to extract critical evidence, including running processes, network connections, loaded DLLs, system credentials, and detecting advanced threats like process hollowing and rootkits. Essential for incident response and malware analysis.

This comprehensive guide outlines the end-to-end workflow for mobile device forensics, covering data acquisition and analysis for both iOS and Android platforms. It details techniques using commercial tools like Cellebrite UFED and open-source utilities (ALEAPP, iLEAPP, ADB). This methodology is critical for investigating deleted messages, call logs, location data, and application artifacts in legal or corporate investigations.

Open Source Intelligence (OSINT) is the critical first phase of red team engagements. This guide details how to systematically collect publicly available data about a target organization. It covers mapping network assets (domains, IPs), identifying personnel for social engineering, discovering credential leaks, and mapping the entire technology stack. Use this skill during authorized security assessments to build comprehensive attack surface maps and initial access strategies.