AI & Language Infrastructure

PhishScout

131 KB On-Device Phishing URL Detector

90% precision, ~4ms per lookup. Sub-100KB on-device ML model for network-level scam protection. Trained and benchmarked with reproducible pipeline on Hugging Face.

ViewCodeAll Projects
PythonOn-Device MLModel QuantizationEdge Inference

Project Facts

NamePhishScout
CategoryAI & Language Infrastructure
Primary LanguagePython
TechnologiesPython, On-Device ML, Model Quantization, Edge Inference
Sourcehttps://github.com/instax-dutta/PhishScout
Live Athttps://huggingface.co/saidutta69/PhishScout

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What is PhishScout?

PhishScout is an open-source project by Sai Dutta Abhishek Dash, a founder and engineer based in Odisha, India. It belongs to the AI & Language Infrastructure category, and is a 131 KB On-Device Phishing URL Detector. 90% precision, ~4ms per lookup. Sub-100KB on-device ML model for network-level scam protection. Trained and benchmarked with reproducible pipeline on Hugging Face. The primary implementation language is Python. It uses Python, On-Device ML, Model Quantization, Edge Inference. Trained on curated phishing datasets from OpenPhish, Phishing.Database, and PhishStats. Small enough to run on home routers, browser extensions, and lightweight VPS instances. Other systems in the same track are ornith-flight, AgentLoop, MarkItDownJS, and Hinglish-Bench. A live instance or published model is available at https://huggingface.co/saidutta69/PhishScout. The full source code is public at https://github.com/instax-dutta/PhishScout. Sai Dutta Abhishek Dash has shipped 22 open-source production systems, maintains 85+ public repositories on GitHub, and has published 46+ models and 22+ datasets on Hugging Face.