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    Home»Machine Learning»How I Built a Machine Learning Model to Detect Phishing Attacks | by Aj | Aug, 2025
    Machine Learning

    How I Built a Machine Learning Model to Detect Phishing Attacks | by Aj | Aug, 2025

    Team_AIBS NewsBy Team_AIBS NewsAugust 19, 2025No Comments1 Min Read
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    When a Colleague Nearly Bought Hacked: My Journey from Panic to Python Prototype

    Press enter or click on to view picture in full measurement

    Photograph by Ryan Born on Unsplash

    The Slack message froze my blood: “Hey, are you able to approve this bill? Pressing!” My teammate Sarah had clicked a hyperlink mimicking our CFO’s signature. As our SOC workforce raced to comprise the breach, I stared on the malicious URL: https://payroll-company-invoices[.]com/login?redirect=azureonline[.]phish. That evening, I swore I’d construct one thing higher than reactive alerts.

    Three months later, my customized phishing detector intercepted 12,000+ assaults earlier than they reached workers. Right here’s how I constructed it and how one can too.

    Current options missed Sarah’s assault as a result of:

    1. Signature-based instruments couldn’t catch zero-day domains
    2. Heuristic filters flagged apparent typos (g00gle.com) however missed homographs (mícrosoft.com)
    3. Worker coaching failed beneath urgency (that “Pressing!” topic line)

    The perception? We wanted AI that understood:

    • Linguistic manipulation patterns
    • Behavioral context
    • Infrastructure fingerprints



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