Skill UI

This script systematically investigates all persistence mechanisms on Windows and Linux systems. It analyzes critical areas like the Windows Registry (SYSTEM, SOFTWARE, HKCU), scheduled tasks, and common run keys to identify how malware maintains access and survives system reboots. It is essential for advanced incident response, threat hunting, and digital forensics investigations.

This guide details how to perform pre-execution static analysis of Windows PE malware samples using tools like PEStudio, Python's pefile, and FLOSS. It focuses on examining file headers, section entropy, import address tables (IAT), and embedded strings to identify malicious functionalities, packing techniques, and indicators of compromise (IOCs) without running the binary. Ideal for initial triage of suspicious executables.

This comprehensive guide details a step-by-step workflow for reverse engineering malware binaries using Ghidra. It guides users through static and dynamic analysis techniques to study internal logic, C2 communication protocols, cryptographic routines, and obfuscation methods at the assembly and pseudo-C code level. Use this when deep code review is required to extract configuration data, understand exploit mechanisms, or develop detection signatures.

A comprehensive workflow and guide for reverse engineering malware compiled using the Rust language. It specifically addresses complex challenges unique to Rust binaries, including non-null-terminated fat-pointer strings, monomorphization artifacts, and intricate error handling chains (Result/Option). Ideal for security analysts and red teams performing deep analysis of modern, resilient attack artifacts.

A comprehensive guide and technical framework for detecting and mitigating ransomware kill switch mechanisms. It details methods for analyzing mutex guards, domain-based communication, and registry checks. Learn how to deploy proactive mutex vaccination and use Sysmon/DNS monitoring to prevent malware execution during incident response and analysis.

A comprehensive workflow and deep technical guide for analyzing malicious Linux ELF binaries. Covers static analysis (reading ELF headers, checking entropy, identifying strings), dynamic tracing (monitoring system calls and library usage with strace/ltrace), and reverse engineering (using GDB) of threats like ransomware, botnets, and rootkits targeting Linux servers and containers (x86_64, ARM).

This specialized skill guides deep-dive analysis for binary-heavy challenges, including CTF, malware analysis, and advanced forensics. It covers reverse engineering binaries, unpacking samples, inspecting memory dumps, debugging crashes, and building exploit chains by correlating artifacts like files, memory, and network packets.

Creates task-oriented technical documentation with progressive disclosure for READMEs, API docs, architecture docs, and markdown. Also generates formal security reports (reverse engineering, penetration testing, CTF, malware/APT analysis) in the user's project directory with Evidence-Finding-Path chain.

This comprehensive guide details the methodology for reverse engineering macOS and Mach-O binaries. It covers analyzing application bundles, deciphering Objective-C/Swift symbols, examining code signing and hardened runtime features, and performing both static (using tools like Ghidra, IDA) and dynamic analysis (using lldb, Frida) to aid in malware analysis and platform security research.

Comprehensive workflow for analyzing suspected malware via static, dynamic, and behavioral techniques. Covers IOC extraction, YARA/Sigma rule generation, sandbox automation, and anti-analysis bypassing.

A comprehensive, structured guide for reverse engineering and analyzing managed .NET/C# binaries. This skill covers the full workflow, including initial identification (CLR check), deobfuscation (using tools like de4dot), static analysis via IL view (dnSpyEx), and dynamic debugging. It is essential for analyzing malware, red team tools, and patching compiled C# applications.

Provides IDA Pro reverse engineering capabilities for analyzing binaries, PE/ELF/APK/DLL/SO files, firmware, and malware. Supports decompilation, password discovery, vulnerability analysis, and software cracking workflows. Uses deterministic scripts for HTTP server management and file opening to avoid known MCP schema and lock issues.