The objective of this project is to build an email attachment malware detection system that scans attachments for malicious content before delivery. The system prevents malware spread through phishing emails and infected attachments.
Study email transmission protocols and attachment handling mechanisms.
Research common malware delivery methods through email attachments.
Design an attachment scanning system integrated with email servers.
Implement file type validation and suspicious extension detection.
Integrate signature-based or machine learning scanning techniques.
Detect macro-based malware in document files.
Develop quarantine functionality for suspicious attachments.
Generate alerts and detailed scan reports.
Test the system using safe simulated malware samples.
Evaluate detection accuracy and false positives.
Document system deployment strategies and limitations.
