Skill UI

This utility implements an append-only log integrity chain using SHA-256 hash chaining. It ensures tamper detection by linking each log entry to the previous one, forming a blockchain-like structure. Functions include log ingestion, chain verification, pinpoint tamper detection, and anchoring to external timestamping services for robust audit logging and compliance.

This skill provides a comprehensive guide to implementing advanced memory protection mechanisms on Windows endpoints. It covers critical techniques like Data Execution Prevention (DEP), Address Space Layout Randomization (ASLR), and Control Flow Guard (CFG). Use this when hardening systems against various memory corruption exploits, such as buffer overflows and ROP chains, to significantly boost overall security posture.

This skill guides the implementation and maintenance of compliance controls for North American Electric Reliability Corporation (NERC) Critical Infrastructure Protection (CIP) standards. It covers key areas including asset categorization (CIP-002), electronic security perimeters (CIP-005), system security management (CIP-007), and supply chain risk management. Use this when auditing, updating, or establishing compliance measures for Bulk Electric System (BES) cyber assets.

This guide details how to implement advanced SIEM correlation rules to detect sophisticated Advanced Persistent Threats (APTs). By chaining multiple event types—including Windows authentication events, process execution telemetry, and network connection logs—across hosts, users can surface complex attack sequences that are invisible to single-event detections. It utilizes Splunk SPL and Sigma rule formats for robust security posture enhancement.

In-toto is a CNCF standard project used to verify the integrity of software supply chains. It generates cryptographically signed attestations (link metadata) at every stage of the CI/CD pipeline, proving exactly what artifacts were produced and who authorized the process. This is crucial for securing container builds and ensuring compliance against tampering.

This skill defines the process and framework for establishing mandatory Service Level Agreements (SLAs) for mitigating identified vulnerabilities. It guides users on how to calculate remediation timeframes based on vulnerability severity (CVSS, KEV), asset criticality (Tier 1, 2, 3), and exploit availability. The process includes setting up escalation chains, defining exception processes, and tracking key performance indicators (KPIs) like Mean Time to Remediate (MTTR) to ensure robust security governance and compliance.

BloodHound is an open-source reconnaissance tool that leverages graph theory to analyze Active Directory relationships. This guide details the process of collecting AD data using SharpHound and visualizing complex attack paths. It helps identify potential privilege escalation chains, trust abuses, and misconfigurations necessary for an attacker to move from a low-privilege user account to Domain Admin, making it essential for advanced red-teaming and security auditing.

A comprehensive guide for analyzing binary exploitation techniques, covering buffer overflows, ROP chains, and memory corruption vulnerabilities. It details the use of specialized tools like pwntools, checksec, and ROPgadget for identifying and developing exploits in ELF binaries during authorized security assessments and CTF challenges. Focuses on advanced offensive security practices.

This skill demonstrates how to use Trivy, an open-source security scanner, to perform comprehensive container security assessments. It scans container images, Kubernetes manifests, and Infrastructure as Code (IaC) files for vulnerabilities, misconfigurations, exposed secrets, and license compliance issues. Key features include generating Software Bill of Materials (SBOM) for supply chain transparency and integrating scanning gates into CI/CD pipelines, supporting robust DevSecOps practices.

A detailed guide for conducting professional disk forensics investigations, covering the entire lifecycle from evidence acquisition to artifact analysis. This includes establishing a strict chain of custody, performing bit-for-bit forensic imaging using write blockers, identifying file system structures (MFT, inodes), recovering deleted files, analyzing key artifacts (Prefetch, Amcache), and reconstructing precise timelines of activity for incident response cases.

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 details implementing Software Composition Analysis (SCA) using Snyk. It helps security teams detect known vulnerabilities, check license compliance, and automate dependency remediation within CI/CD pipelines. Learn to integrate scanning into GitHub, GitLab, and Jenkins workflows, generate automated fix PRs, and continuously monitor deployed applications to safeguard the software supply chain.