About this document
Breaking Dark Web CAPTCHAs with ML by calah59619 is a document available to read on EtoBox.
This research project investigates methods to bypass CAPTCHAs on dark web websites using Machine Learning and Optical Character Recognition (OCR) tools, specifically TensorFlow and Tesseract. The study found that TensorFlow achieved a high success rate of up to 99.7% in solving CAPTCHAs, while Tesseract performed significantly worse. The project also categorized 634 dark web websites, revealing that 12% inhibit scraping, with 51.9% of those using CAPTCHAs.
- Author
- calah59619
- Language
- EN