Email Analysis System for Detecting Phishing and Malicious E-Mails

Phishing and malicious emails continue to be major cybersecurity risks for people and organizations around the world. This study introduces an automated email analysis system for identifying, evaluating, and categorizing potentially dangerous and harmless emails that was created with FastAPI. Email headers, embedded URLs, sender IP addresses, and attachments are just a few of the attributes that the system extracts and assesses. Through the integration of APIs like VirusTotal, AbuseIPDB, and MalwareBazaar, the system calculates a comprehensive threat score and validates malicious indicators. By automating manual analysis tasks, the suggested solution improves email forensics, facilitates rapid threat identification, and aids in incident response. According to experimental results, the system efficiently and quickly detects malicious and phishing patterns.