Detecting phishing attacks using AI involves employing machine learning algorithms to analyze various attributes of emails or websites to identify patterns indicative of phishing
1. Email Analysis:Analyze email headers, sender's address, and content for inconsistencies or suspicious patterns.
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2. Link and Attachment Inspection:Check links for known phishing domains or URLs resembling legitimate ones (e.g., using URL blacklists)
3. Image Analysis:Use computer vision techniques to analyze embedded images for hidden URLs or malicious content.
4.Real-time Detection:Implement AI models that can adapt to new phishing techniques and trends in real-time