GoKawiilDEDA Toolkit Enables Extraction and Anonymisation of Printer Tracking Dots
The DEDA software allows users to extract, decode, and anonymise colour tracking dots embedded in printed documents, which encode information about the printer source. It supports both command-line and graphical interfaces, requiring Python 3 and optional dependencies for full functionality. The tool can analyze scanned images to identify unique printer patterns or generate custom tracking dots for document embedding.
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This toolkit highlights the ongoing challenge of printer-based tracking, which can compromise user privacy by revealing device identities through printed materials. Its ability to decode and mask such forensic features suggests that users and organizations may need to consider countermeasures against document-based tracking. The availability of open-source tools like DEDA could influence privacy practices and forensic analysis in digital security contexts.
- DEDA enables decoding of printer-embedded tracking dots.
- The software supports anonymisation to protect privacy.
- It can also generate custom tracking patterns for documents.
Source: github.com, 2026-10-04
Published there as: “DEDA – Tracking Dots Extraction, Decoding and Anonymisation Toolkit”
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