Skill UI

A comprehensive playbook for defeating anti-debugging mechanisms in protected binaries. Covers advanced techniques across both Linux (ptrace, /proc/self/status, timing checks) and Windows (PEB flags, NtQueryInformationProcess). Provides detailed detection methods and corresponding bypass strategies (e.g., patching, hooking, kernel modules) essential for advanced binary reverse engineering.

This playbook provides expert techniques for reverse engineering custom virtual machines and proprietary bytecode. It guides users through identifying dispatchers (switch/table), mapping unknown opcodes, reconstructing custom ISAs, and writing dedicated disassemblers. Essential for solving complex CTF challenges, analyzing protected software, or tackling custom runtime environments.

This guide provides a deep dive into the cryptographic techniques used by ransomware, including AES, RSA, ChaCha20, and hybrid schemes. It covers identifying algorithms, analyzing key management patterns (strong, weak, flawed), and reverse engineering file encryption routines to assess decryption feasibility and support recovery efforts.

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 comprehensive guide helps authors determine the suitability and strategic framing for submitting manuscripts to the IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). It covers core scope alignment (reverse engineering, reengineering, code intelligence), required evidence standards (practical tools, benchmarks), and provides crucial guidelines for positioning the work relative to other top-tier CS venues.

This skill facilitates cross-version symbol migration and binary diffing. When existing symbols or reverse engineering results from an old version need to be quickly mapped to a new binary version, this tool is used. It leverages LLMs to perform structured structural comparisons between corresponding functions in different versions, enabling the programmatic transfer of function names and offsets even when original PDB files are lost. Ideal for kernel debugging, application updates, and binary analysis.

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 specialized skill provides a deep workflow for reverse engineering stripped Go and Rust binaries. It guides the recovery of lost runtime metadata, including symbols, pclntab data, and panic strings. The process addresses language-specific challenges, such as Go's interface structures and Rust's complex async state machines, serving as a crucial complement to general decompilers like IDA or Ghidra.

Guideline for front-end JavaScript reverse engineering using js-reverse MCP tools and jshookmcp. Covers locating signature and encrypted parameters, tracing request initiators, runtime sampling via hooks, local Node environment reconstruction, and evidence-first output for reproducing signing logic.

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.

A comprehensive methodology for deep security testing of both Android (APK) and iOS (IPA) applications. This guide covers the entire workflow, from initial information gathering and static analysis (decompilation, code structure analysis) to advanced dynamic instrumentation, network interception, and bypassing modern security measures like SSL Pinning, Root/Jailbreak detection, and anti-debugging.