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Itsolutio


AI in Phishing Email Detection

AI detects phishing emails by analyzing email metadata, sender behavior, and message content. NLP models assess text structure, embedded links, and attachments to classify emails as legitimate or malicious.

Key AI Approaches:

  • Tokenization & Feature Extraction: Identifies keywords associated with phishing.
  • TF-IDF & Word Embeddings: Detects unnatural text patterns in email bodies.
  • Graph Neural Networks (GNNs): Analyze sender-receiver relationships to detect anomalies.
  • Image Recognition: Detects fake logos and brand impersonation in email attachments.

Phishing Detection Metrics:

Feature Phishing Indicator
Email Header Mismatch between sender domain and email address
URL Analysis Use of short links, typosquatting domains
Attachment Analysis Macros in Office documents, hidden executables
Language Analysis Urgency phrases, poor grammar, impersonation attempts