ALDS v2.0.0 Native C++ & Win32 Core Rewrite

Hi everyone,

Security & Clean Build:
Unlike the previous packaged Python releases, the new native C++ build contains no bundled runtime wrappers or false positives.
The project remains 100% open source and verified. Check the latest VirusTotal Report (1 false positive)

I am pleased to share version 2.0.0 of ALDS. (Anti-Leak Document Sanitizer)
This release is a complete rewrite of the project from Python and PyQt into native C++ using the Win32 API. The primary goal was to get rid of the Python runtime and external dependencies entirely, making the tool a fast, lightweight, standalone executable that launches instantly.
Here is a summary of what changed in this version:

• Fully standalone: No Python installation or extra libraries required. You just run the executable.
• Native Win32 UI: Switched to a clean, classic Windows interface with native controls, full drag-and-drop support for files and folders, and a live log window.
• Complete feature parity: All original cleaning capabilities are preserved. The app removes core and extended metadata, comments, revision traces, and embedded scripts from PDF, DOCX, XLSX, and PPTX files.
• Native cryptography: MD5/SHA-256 calculations and cryptographic hash randomization now run directly through Windows CryptoAPI.
• Multithreaded processing: Queue sanitization runs in a background thread, so the interface remains smooth and responsive even during large batch jobs.
• Clean build: The executable is statically linked and compiled with standard Windows security mitigations (ASLR, DEP, Control Flow Guard) along with embedded version info to prevent false-positive antivirus detections.
  Thank you for using the project. If you run into any issues or have feedback, please feel free to open an issue in the repository.

ALDS v.1.0.0

DocSanitizer (ALDS) — desktop utility designed for deep metadata stripping, revision history cleaning, and anti-leak document sanitization.

Note on Antivirus Detections:
Standalone Windows executables built with packaging tools may trigger 2-3 false positive detections on some antivirus engines.
The project is 100% open source. Check our VirusTotal Report.

Features

• Deep Metadata Removal: Clears author names, company info, creation/modification dates, and hidden system paths.
• OOXML Cleaning: Strips comments, revision history, and personal references from DOCX, XLSX, and PPTX files.
• PDF Sanitization: Removes /Info dicts, XMP streams, and optional deep flattening (strips JavaScript, AcroForms, and annotations).
• Hash Randomization: Changes cryptographic hashes (MD5, SHA-256) without corrupting file validity.
• Non-Destructive Workflow: Saves sanitized documents separately to prevent accidental data loss.
• Multi-threaded GUI: Modern PyQt6 dark interface with drag-and-drop support.