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Course 24 - Machine Learning for Red Team Hackers | Episode 1: Building an Automated CAPTCHA-Breaking Bot
In this lesson, you’ll learn about:
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cybercode_academy
- How CAPTCHA systems (like Really Simple CAPTCHA for WordPress) are designed to prevent automated abuse
- The role of reconnaissance in identifying security mechanisms on web applications (for defensive testing with permission)
- How OpenCV is used in computer vision for:
- Grayscale conversion
- Image thresholding
- Noise reduction and morphological operations (e.g., dilation)
- Contour detection and character segmentation
- The fundamentals of building a Convolutional Neural Network (CNN) using frameworks like Keras
- Why preprocessing (normalization, resizing, padding) is critical for image-based ML accuracy
- How browser automation tools such as Selenium function in legitimate contexts (e.g., QA testing, regression testing, accessibility testing)
- Why CAPTCHA systems can be vulnerable to ML advances—and how modern defenses evolve in response
- Strengthen bot mitigation strategies
- Implement more resilient human verification systems
- Detect automated abuse patterns
- Transition toward modern solutions like behavioral analysis and risk-based authentication
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cybercode_academy
View all episodes
By CyberCode AcademyIn this lesson, you’ll learn about:
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cybercode_academy
- How CAPTCHA systems (like Really Simple CAPTCHA for WordPress) are designed to prevent automated abuse
- The role of reconnaissance in identifying security mechanisms on web applications (for defensive testing with permission)
- How OpenCV is used in computer vision for:
- Grayscale conversion
- Image thresholding
- Noise reduction and morphological operations (e.g., dilation)
- Contour detection and character segmentation
- The fundamentals of building a Convolutional Neural Network (CNN) using frameworks like Keras
- Why preprocessing (normalization, resizing, padding) is critical for image-based ML accuracy
- How browser automation tools such as Selenium function in legitimate contexts (e.g., QA testing, regression testing, accessibility testing)
- Why CAPTCHA systems can be vulnerable to ML advances—and how modern defenses evolve in response
- Strengthen bot mitigation strategies
- Implement more resilient human verification systems
- Detect automated abuse patterns
- Transition toward modern solutions like behavioral analysis and risk-based authentication
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cybercode_academy