Showing Articles About
machine learning
- 20 May 2020
Releasing the CAPTCHA Cracken
A tool called CAPTCHA Cracken was developed to bypass text-based CAPTCHAs on an Outlook Web App portal. Advanced image preprocessing techniques and browser automation with Pyppeteer were used to overcome significant CAPTCHA recognition challenges. The project demonstrated the vulnerability of traditional text-based CAPTCHAs to machine learning-based automated attacks.
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Tinus Green - 17 Jan 2019
CAPTCHA-22: Breaking Text-Based CAPTCHAs with Machine Learning
A machine learning technique was developed to break text-based CAPTCHAs using an Attention-based OCR model. By manually labeling training data from a large dataset of CAPTCHA images, near-perfect accuracy was achieved in solving various CAPTCHA implementations. The study demonstrated how machine learning can effectively bypass traditional text-based CAPTCHA systems with minimal computational resources.