[name] is a part of Project ChongLuaDao by using Model Deep Learning to detect the Phishing Website
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Table of Contents
- Python 3.7.x | 3.8.x
- python
pip install -r requirement.txt
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HomePage : /
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Dashboard : /dashboard
Distributed under the MIT License. See LICENSE for more information.
- https://www.academia.edu/10918579/A_WEB_CONTENT_ANALYTICS_ARCHITECTURE_FOR_MALICIOUS_JAVASCRIPT_DETECTION
- https://www.sciencedirect.com/science/article/pii/S1568494619305022
- https://www.just.edu.jo/~munzer/MyPubs/MALURLs_ITA2011.pdf
- https://www.researchgate.net/publication/228906286_Visual-Similarity-Based_Phishing_Detection
- https://www.mdpi.com/2073-8994/12/10/1681/pdf
- https://phishingreel.io/api/v1/panels/today
- https://api.chongluadao.vn/v1/blacklist
- http://data.phishtank.com/data/online-valid.csv (update every hour)
- https://raw.githubusercontent.com/mitchellkrogza/Phishing.Database/master/phishing-links/output/domains/ACTIVE/list (update every day)
- https://api.chongluadao.vn/v1/whitelist
- https://www.alexa.com/topsites/countries/VN
- https://webrank.vn/top-website-vietnam
- https://majestic.com/reports/majestic-million
- https://github.com/csirtgadgets/suspect-domains-dataset/blob/master/whitelist.txt
- http://docnum.univ-lorraine.fr/public/DDOC_T_2015_0058_MARCHAL.pdf
- https://research.aalto.fi/en/datasets/phishstorm-phishing-legitimate-url-dataset
- https://www.sciencedirect.com/science/article/pii/S1877050920310966
- https://www.atlantis-press.com/proceedings/iccsee-13/4487
- https://repository.asu.edu/attachments/189603/content/Namasivayam_asu_0010N_17146.pdf
Thanks goes to these wonderful people
 Le Duy Son |
 Cao Hoang Tung |
 Nguyen Ngoc Anh |
Vo Chi Dat |
 Nguyen Viet Dung |
 Dinh Quang Minh |
 Duong Dang Hung |