Wavy

Prerequisites & Requirements

• Golang Binary Analysis: Understanding Go’s unique calling conventions, runtime metadata, and stripped function identification.
• x64 Assembly: Proficiency in tracing floating-point operations (SSE/AVX instructions like mulsd, addsd) used for mathematical modeling.
• Digital Audio Fundamentals: Basic knowledge of PCM (Pulse Code Modulation), sample rates (Hz), and sine wave generation (Amplitude/Phase/Frequency).

What will you learn?

• Algorithmic Reversing: Deconstructing a mathematical "Black Box" inside a binary to determine how input data (ASCII) is transformed into an output signal.
• DSP Forensics: Implementing Discrete Fourier Transform (DFT) or Fast Fourier Transform (FFT) to perform frequency-domain analysis on suspicious audio files.
• Automated Data Recovery: Developing a Python-based decoder to programmatically reverse-engineer encoded signal segments into their original plaintext format.

Tools

• Static Analysis: IDA Pro (for Go-specific disassembly and flow analysis).
• Identification: Detect-It-Easy (DIE).