Technical Analysis and Improvements to Kindle Web Deobfuscation Method
By
ColinWright
The bagel they save for the regulars. Don't skim, savour.
Summary
This article analyzes and improves upon PixelMelt's method for extracting text from Amazon Kindle books by reverse-engineering the web-based reading interface. The original approach involved spoofing a web browser, downloading JSON files, reconstructing obfuscated SVGs used to render letters, and applying OCR. The author identifies several limitations in PixelMelt's method, including hard-coded domain restrictions, inefficient SVG processing, and OCR accuracy issues. The article then presents improvements such as dynamic domain handling, optimized SVG processing, enhanced OCR techniques, and better error handling to create a more robust Kindle web deobfuscator.
Key quotes
· 4 pulledIn their post 'How I Reversed Amazon's Kindle Web Obfuscation Because Their App Sucked' they describe the process of spoofing a web browser, downloading a bunch of JSON files, reconstructing the obfuscated SVGs used to draw individual letters, and running OCR on them to extract text.
The downloader was hard-coded to only work with the .com site. That fix was simple - do a search and replace for the domain.
The OCR step was particularly problematic because it was trying to recognize individual letters from reconstructed SVGs, which often had poor quality and inconsistent rendering.
By implementing these improvements, we created a more robust and efficient Kindle web deobfuscator that could handle various Amazon domains and produce cleaner text output.
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