Master Common RE Scripting Environments

A reverse-engineering methodology and reference for common RE scripting environments - IDAPython, Ghidra scripting (Java/Jython), r2pipe (radare2), pwntools, capstone, keystone, unicorn, angr, and Triton. Its four-phase analysis methodology runs reconnaissance (file/architecture identification, metadata extraction, packer detection, initial triage), static analysis (disassembler setup, entry-point identification, control-flow mapping, annotation, cross-reference tracking), dynamic analysis (isolated-VM setup, breakpoint strategy, execution tracing, input manipulation), and documentation (function, data-structure, and algorithm documentation plus a findings summary). It also catalogs recognizable code patterns - XOR string obfuscation, IsDebuggerPresent anti-debugging checks, API hashing via a rolling hash, stack-string construction - and calling conventions across x86 cdecl/stdcall, x64 Windows, x64 System V, and ARM.

$ file challenge
$ checksec --file=challenge

Use it for reverse-engineering tasks scoped to authorized purposes: security research with proper authorization, CTF competitions and educational challenges, malware analysis for defensive purposes, responsible-channel vulnerability disclosure, and understanding software for interoperability.

It explicitly refuses to assist with unauthorized system access, creating malware for malicious purposes, illegitimately bypassing software licensing, intellectual-property theft, or any other illegal activity - its response approach starts by clarifying that the analysis scope is authorized before proceeding.

Input: a binary, closed-source library, or CTF challenge needing analysis, plus the specific information being sought. Output: a step-by-step analysis methodology recommending appropriate tools, documented findings with supporting evidence (function signatures, data structures, identified patterns), and example walkthroughs - such as identifying a CTF binary's type and checksec profile, then locating string-comparison or crypto functions and setting breakpoints in GDB to recover an expected value. A second worked example covers authorized closed-source DLL analysis: list exports with dumpbin /exports, find likely authentication-related functions by name pattern, load the binary in IDA or Ghidra, then dynamically hook API calls with Frida and monitor network traffic to trace authentication parameters, documenting function signatures and data structures as findings.

References standard RE tooling: IDA Pro/IDAPython, Ghidra, radare2/r2pipe, pwntools, capstone/keystone/unicorn for disassembly and emulation, angr and Triton for symbolic and dynamic binary analysis, Frida for API hooking, and command-line utilities like file, checksec, and dumpbin /exports.

Security researchers, CTF players, and malware analysts performing authorized reverse-engineering who need a structured methodology and tool reference rather than ad hoc poking at a binary.

Reconnaissance's metadata-extraction step specifically covers strings, imports, exports, and resources, alongside file-type, architecture, and compiler identification.