Skill UI

This comprehensive guide teaches advanced iOS reverse engineering techniques using Frida dynamic instrumentation. Users can analyze proprietary app logic, extract encryption keys, trace method calls, and bypass anti-tampering or anti-debugging mechanisms without needing source code. It is essential for authorized mobile security testing and protocol analysis.

A comprehensive guide and toolkit for advanced network reconnaissance using Nmap. It covers sophisticated techniques including service version detection, vulnerability scanning via Nmap Scripting Engine (NSE), firewall evasion methods (e.g., fragmentation, decoy addressing), and structured output parsing for integration into vulnerability management pipelines. Essential for authorized penetration testing.

This skill provides a comprehensive audit framework for securing process historian servers (e.g., OSIsoft PI, Honeywell PHD) within industrial Operational Technology (OT) environments. It guides users through assessing network exposure, implementing Purdue Model segmentation, and establishing secure data replication through a DMZ, ensuring process data integrity and preventing unauthorized access.

This guide details the design and configuration of secure, compliant remote access architectures for Operational Technology (OT) and Industrial Control Systems (ICS). It covers implementing jump server architectures, Multi-Factor Authentication (MFA), Privileged Access Management (PAM), session recording, and adhering to standards like IEC 62443 and NERC CIP-005. Ideal for network architects, security engineers, and operations teams needing to manage third-party vendor access securely.

This skill provides advanced techniques and code examples for monitoring, mapping, and pivoting across adversary-controlled infrastructure. It leverages Passive DNS, Certificate Transparency logs, Shodan/Censys scanning, and network fingerprinting (JARM/JA3S) to discover C2 servers, phishing domains, and exploitable assets over time, which is crucial for advanced security operations and threat intelligence gathering.

This guide implements a secure conduit architecture for Operational Technology (OT) remote access, adhering to IEC 62443 standards. It establishes a layered defense using DMZs, jump servers, and MFA gateways. Use it to secure third-party vendor access to SCADA/ICS equipment, replacing risky direct VPN connections and remediating audit findings on uncontrolled access.

A deep dive toolset for forensic investigation of advanced persistent threats (APT) at the firmware level. It analyzes UEFI variable modifications, SPI flash implants, Secure Boot bypass techniques, and unauthorized components within the EFI System Partition (ESP). Utilizes tools like chipsec, flashrom, and YARA for comprehensive integrity verification.

This skill performs in-depth literature reviews across complex communications domains, including 5G/6G, Wi-Fi, satellite networking, and advanced protocols. It systematically searches user-defined knowledge bases (Zotero, Obsidian, local files) and major academic databases (IEEE, ACM, ScienceDirect) to provide comprehensive survey summaries, related work analyses, and technical landscape overviews.

This guide details how to analyze comprehensive Zeek network logs (conn.log, smb_files.log, ntlm.log, dce_rpc.log, etc.) to detect advanced attacker techniques. It specifically targets indicators of compromise related to lateral movement, such as SMB admin share access, NTLM account spraying, and remote service execution (DCE/RPC patterns). It is a critical network forensics tool for post-incident investigation.

A comprehensive guide for optimizing query latency in Qdrant. This resource explains advanced performance tuning techniques, focusing on critical resource management like RAM utilization, segment count adjustments, and HNSW parameter tuning. It details strategies for scaling, quantization, and hardware considerations (e.g., local NVMe) to ensure consistently low-latency search performance, and outlines common pitfalls to avoid.

A comprehensive guide to optimizing CAST AI's core performance metrics, including node provisioning speed, autoscaler responsiveness, and API call efficiency. This skill covers techniques like configuring headroom, selecting optimal instance families, tuning evictors, and implementing caching for multi-cluster dashboards to ensure high availability and cost efficiency in cloud environments.

This script generates a comprehensive diagnostic bundle for CAST AI deployed on a Kubernetes cluster. It automatically collects crucial data including component logs, pod statuses, Helm releases, node inventories, and cluster events into a single archive. Use this tool when preparing a detailed support ticket or performing deep technical troubleshooting.