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This skill provides a systematic methodology for investigating malware persistence mechanisms across Windows and Linux systems. It covers analyzing critical areas like the Windows Registry (SYSTEM, SOFTWARE, Run keys), Scheduled Tasks, and WMI artifacts. Use it during incident response, threat hunting, or digital forensics to ensure all unauthorized startup entries are found and remediated.

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.

Zeek is a powerful, open-source network security monitoring framework that generates high-fidelity structured logs and metadata from raw network traffic. This skill covers deploying Zeek, analyzing various protocol logs (HTTP, DNS, TLS, etc.), writing custom detection scripts to identify anomalies, and integrating resulting security insights with SIEM platforms for comprehensive threat detection and forensic investigation.

This skill utilizes the SpiderFoot REST API and CLI to automate Open-Source Intelligence (OSINT) collection. It performs comprehensive target profiling, reconnaissance, and attack surface mapping across 200+ data sources. Users can select specialized modules (e.g., footprint, investigate) to analyze domains, IPs, and credentials, generating structured intelligence reports essential for security assessments, incident response, and threat intelligence gathering.

This guide provides a comprehensive methodology for auditing essential HTTP security headers, including CSP, HSTS, X-Frame-Options, and Referrer-Policy. It helps identify missing or improperly configured browser-level protections, crucial for mitigating vulnerabilities like XSS, clickjacking, and mixed content issues, ensuring compliance with standards like PCI DSS and SOC 2.

This comprehensive guide details a multi-step workflow for detecting and extracting covert data hidden within images, audio, and video files. It covers initial metadata analysis, running advanced steganalysis tools (like zsteg, binwalk, stegoveritas), and performing low-level analysis such as Least Significant Bit (LSB) analysis to uncover hidden communication channels used in digital forensics and cybersecurity investigations.

A comprehensive guide to conducting security assessments on thick client (desktop) applications. This skill details techniques ranging from static analysis (using tools like dnSpy, IDA Pro) to dynamic analysis (process monitoring with Procmon, network interception via Burp Suite). It covers finding hardcoded credentials, identifying insecure local storage, mitigating DLL hijacking, and analyzing memory manipulation within local applications.

A comprehensive guide for Security Operations Center (SOC) teams to perform proactive threat hunting using Elastic SIEM. This skill teaches advanced techniques like KQL and EQL queries, analyzing event sequences, and investigating anomalies to uncover threats that bypass automated detection rules. Ideal for validating detection coverage gaps and responding to new TTPs based on the MITRE ATT&CK framework.

This guide demonstrates how to build comprehensive forensic super-timelines using Plaso (log2timeline) to correlate events across diverse sources. It covers the entire workflow, from processing disk images and various logs (MFT, registry, browser history) to generating standardized CSV, JSONL exports, and visualizing the results in tools like Timesketch for deep investigative analysis.

Leverage Eric Zimmerman's EZ Tools suite for comprehensive Windows forensic artifact analysis. This guide details how to parse critical system data, including the Master File Table (MFT), registry hives, prefetch files, and event logs. Essential for digital forensics investigators and incident responders conducting deep system analysis.

This guide details implementing robust, multi-layered security for public-facing API Gateway endpoints using AWS WAF. Key features include configuring managed rule groups for OWASP Top 10 protection, setting up granular rate limiting to prevent abuse, implementing bot mitigation, and performing IP reputation filtering. Essential for maintaining API integrity and availability.

This skill provides comprehensive security hardening guidelines for serverless compute platforms like AWS Lambda, Azure Functions, and Google Cloud Functions. It covers essential security pillars including enforcing least privilege IAM roles, integrating robust secrets management (e.g., AWS Secrets Manager), automating dependency vulnerability scanning within CI/CD pipelines, and implementing strict input validation to mitigate risks such as injection and credential theft. Ideal for DevSecOps practitioners and security architects.