CIC-Trap4Phish: A Unified Multi-Format Dataset for Phishing and Quishing Attachment Detection

CIC-Trap4Phish is a multi-format dataset designed to improve detection of phishing and quishing attacks through malicious email attachments. The dataset covers five common file types (Word, Excel, PDF, HTML, and QR code images) and uses execution-free static feature pipelines for the first four types, while employing CNNs and lightweight language models for QR code-based phishing detection. Machine learning models including Random Forest, XGBoost, and Decision Tree demonstrated high detection accuracy across all formats.