Binary Analysis Data Pipeline Python Zstandard Complete

Once Human Data Extraction Pipeline

A local research pipeline that identified the compression format used in the installed game client and successfully processed 90,626 files from the available package set.

Once Human Data Extraction Pipeline project preview

Overview

A local research pipeline built to process game-data files from a locally installed copy of Once Human. The pipeline successfully processed 90,626 files from the tested package set with a 100% success rate.

The Problem

Once Human stores game data in package files using Zstandard compression with a custom dictionary. Standard decompression tools cannot process these files without the correct dictionary, returning “Dictionary mismatch” errors on every entry.

Approach

The pipeline was built to analyze the installed client’s binary-format structure, identify the compression scheme, locate the required Zstandard dictionary embedded within the local client installation, determine the dictionary boundary through progressive validation, and apply it to process the full package set.

Results

  • 90,626 local client files processed (100% success across the tested set)
  • Dictionary identified: 256 KB embedded within the installed client
  • File types recovered: bytecode, protocol definitions, configuration, localization
  • All results validated against declared sizes in the package index

Purpose

The extracted data supports OHMM’s formula modeling and stat analysis. It provides the structural information needed to understand combat systems, attribute relationships, and formula graphs that cannot be observed through gameplay alone.

This research was conducted on lawfully obtained local client files from an installed copy of Once Human. SOAR Studios does not distribute proprietary game code, copyrighted archives, or turnkey extraction tools. This page describes the methodology and results of independent compatibility research.