Neural Decompiler

The Neural Decompiler is a specialized module for binary analysis. It enables SYNAPSEED to understand compiled binaries (like proprietary dependencies or legacy code) where source code is unavailable.

Supported Formats

• ELF (Linux)
• Mach-O (macOS)
• PE (Windows)

Capabilities

The Decompiler performs static analysis on binaries to extract:

1. Symbols: Exported functions and global variables.
2. Strings: Classified strings (URLs, file paths, SQL queries, error messages).
3. Call Graph: Inter-function call relationships.
4. Behavioral Inference: Uses heuristics to tag the binary's likely purpose (e.g., NetworkIO, Crypto, Database).

Usage

MCP Tool: analyze_binary

Analyze any binary file on disk.

synapseed analyze_binary --path /usr/bin/git

MCP Tool: explain_dependency

Analyze a compiled Rust dependency by crate name. Useful if you want to understand what a dependency really does in its compiled form.

synapseed explain_dependency --crate_name "tokio"

How it works

The Decompiler uses the goblin crate for parsing executable formats. It does not lift assembly to high-level code (C/Rust) yet; instead, it focuses on behavioral understanding through symbol and string analysis, providing a high-level summary of what the binary is capable of.