"Phishing Screenshots Dataset"
"This dataset was developed as part of a cybersecurity research initiative focused on detecting phishing attacks through visual analysis of webpage screenshots. It contains approximately 2,759 unique labeled screenshot images with 4,935 detailed visual, structural, and content-based features. The dataset includes 1,316 legitimate webpage screenshots and 1,443 phishing webpage screenshots. Features include deep spatial representations extracted using EfficientNetB3, along with handcrafted forensic features such as Error Level Analysis (ELA) variance, GLCM texture descriptors, and color-space statistical moments. The dataset supports research in machine learning, computer vision, web security, and phishing detection, enabling models to distinguish between legitimate and phishing webpages based on visual characteristics. It can be used for visual phishing detection, browser security, explainable AI, multimodal threat intelligence, adversarial robustness testing, and cybersecurity education."