Skill UI

A comprehensive guide for security professionals on detecting and preventing ARP spoofing and poisoning attacks. The skill covers multiple layers of defense, including implementing Dynamic ARP Inspection (DAI) on managed switches, utilizing ARPWatch for continuous monitoring, performing deep packet inspection with Wireshark, and developing custom Python scripts for real-time anomaly detection. Essential for mitigating Man-in-the-Middle (MitM) attacks at Layer 2.

This skill detects domain fronting, an advanced technique used by attackers to mask Command and Control (C2) traffic. It analyzes proxy/web gateway logs for mismatches between the TLS SNI field and the HTTP Host header, combined with deep TLS certificate inspection using pyOpenSSL. This is crucial for security teams investigating sophisticated network threats and validating detection coverage.

This skill provides a comprehensive guide to deploying AWS Security Hub for centralized Cloud Security Posture Management (CSPM). It covers aggregating security findings from multiple sources (GuardDuty, Inspector, Macie, and third-party tools), enabling compliance checks against standards like CIS and PCI-DSS, and automating remediation workflows across multi-account AWS organizations. Ideal for security teams needing continuous compliance monitoring and robust governance.

This guide details the process of deploying and configuring Tofino industrial firewalls for critical OT/ICS environments. It provides architectural blueprints and Python-based rule generators to implement deep packet inspection (DPI) for key industrial protocols like Modbus, EtherNet/IP, and S7comm. This ensures granular, protocol-aware access control and robust zone segmentation for safeguarding SCADA and PLCs.

Suricata is a high-performance, open-source network threat detection engine used for deep packet inspection. This skill details the deployment and configuration of Suricata in Intrusion Prevention System (IPS) mode. It covers setting up custom rules, integrating third-party rulesets (like Emerging Threats), and actively blocking malicious traffic in real time, making it essential for robust network security and compliance enforcement.

This guide details authenticated (credentialed) vulnerability scanning, which uses valid system credentials (SSH keys, domain passwords, etc.) to log into target hosts. Unlike external scanning, credentialed methods allow deep inspection of installed patches, local configurations, registry keys, and system files across diverse platforms (Linux, Windows, Network Devices). This significantly increases vulnerability detection rates and reduces false positives for comprehensive security assessments.

Grype is an open-source vulnerability scanner from Anchore. It inspects container images, filesystems, and SBOMs for known CVEs. It leverages Syft-generated SBOMs to match packages against multiple vulnerability databases (NVD, GitHub Advisories). Use it for security assessments, auditing, and integrating into CI/CD pipelines to enforce vulnerability standards and manage supply chain risks.

An advanced debugging skill designed for AI agents. It utilizes gdb-cli to provide intelligent assistance for C/C++ programs, enabling the analysis of core dumps, debugging live processes, and investigating complex issues like crashes, deadlocks, and memory corruption. It correlates runtime state inspection with source code context for deeper insights.

A comprehensive framework for advanced forensic analysis of UEFI firmware and boot process integrity. It details methods to detect firmware implants in SPI flash, audit UEFI variables (PK, KEK, DB), inspect the EFI System Partition (ESP) for unauthorized components, and analyze boot chain anomalies. Ideal for investigating advanced persistent threats (APTs) and verifying system security posture against rootkits and bootkit techniques.

This skill is designed for performing local, on-premise evaluations and benchmarking of models hosted on the Hugging Face Hub. It facilitates running specialized evaluation frameworks like `inspect-ai` and `lighteval` against local hardware. Users can select optimal inference backends, including `vllm` for high throughput, or fall back to Hugging Face Transformers or `accelerate`, ensuring comprehensive smoke testing and task selection for LLMs. It focuses purely on the local execution process, separate from remote jobs or publishing workflows.

This tool monitors Modbus TCP communication within SCADA and ICS environments to detect security anomalies. It performs deep packet inspection, baselines normal communication patterns (e.g., typical function code distribution, register access), and applies statistical analysis to identify unauthorized register writes, reconnaissance attempts, or denial-of-service attacks targeting industrial control devices.

A comprehensive guide detailing the workflow for firmware reverse engineering. It uses tools like binwalk to identify embedded filesystems (e.g., SquashFS, CramFS), perform entropy analysis to locate hidden data, and extract components. The process covers deep inspection, credential discovery, and reporting for IoT and embedded security assessments.