35 APFS Corruptions Prove 98.5% Recovery Tool Success
Reverse-engineered APFS to build a C/Python recovery tool that handles missing superblocks, destroyed B-trees, and bit rot, validated by deliberately breaking filesystems 35 ways for 98.5% recovery on a 12TB disk.
Triggered by Real Data Loss on 12TB APFS Disk
Author lost critical data on a ~12TB APFS volume, recovered it via Disk Drill, then reverse-engineered Apple's filesystem by building a from-scratch read/write driver in Python. This exposed the gap: clean reads/writes fail against real corruptions like missing superblocks, destroyed B-tree nodes, and bit rot across blocks. Used open-source drat tool (github.com/jivanpal/drat) for initial read-only diagnostics on the failing disk.
Recovery Tool Tackles Corruption Realities
Extended the Python driver into a full recovery tool mixing C and Python for speed and precision. Targets messy disk failures beyond standard parsing—reconstructs data from scattered damage. Achieved 98.5% file recovery rate, far beyond basic tools, by directly addressing APFS's container, volume superblocks, and node structures.
Rigorous Validation: 35 Deliberate Breakage Methods
To prove reliability, created 35 distinct corruption scenarios mimicking crashes, hardware failures, and degradation. Each test broke a controlled APFS image, ran the tool, and measured recovery. This hands-on gauntlet confirmed the tool's robustness where commercial options like Disk Drill falter on edge cases, providing builders a blueprint for filesystem resilience testing.