We Built a 270m Local Model to Detect Phishing Urls
Posted2 months agoActive2 months ago
charlemagnelabs.aiTechstory
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Artificial IntelligencePhishing DetectionMachine LearningCybersecurity
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Artificial Intelligence
Phishing Detection
Machine Learning
Cybersecurity
The post discusses building a 270M parameter local AI model to detect phishing URLs, with commenters raising questions about the model's methodology and potential edge cases.
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Nov 6, 2025 at 4:16 PM EST
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As small models continue to improve, and edge hardware becomes more capable, we would really like to run larger models that could incorporate full page content and screengrab data, which would be more likely to catch these kinds of attacks.
But we also find that sites that do one shady thing usually do others, which is a big reason why a tiny model like this can work - and why we are betting on low latency being a differentiating factor in real-world impacts.