Phishing Detection Using Random Forest
Detect phishing websites using machine learning
cross checking function -> compare_with_google can be used to cross check the results of the model.
usage :
- detect:
from phishing_detection import phishing_detection print(phishing_detection.detect(‘google.com’))
- compare_with_google:
url=<some url> api=<your google cloud console api key>
print(compare_with_google(url,api))
Free software: MIT license
Documentation: https://phishing-detection.readthedocs.io.
Features
TODO
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1 (2019-07-20)
First release on PyPI.
0.2
bug fixes
0.2.1
fixed model.sav path bug added other dependencies in setup.py
Metadata
Release files for phishing-detection 0.1.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| phishing_detection-0.1.2.tar.gz | 1.5 MB | Without provenance | Details |
Release files / phishing_detection-0.1.2.tar.gz
| Download URL | phishing_detection-0.1.2.tar.gz |
|---|---|
| Size | 1.5 MB |
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SHA-256 checksum How to use checksums |
fece269955da14025a919921835bf242c679e12278bebf0d2296d492d71d4cb0
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BLAKE2b-256 checksum How to use checksums |
9a5d0c0b74886d1ed468cd7f09cb9a830d97ed5eeb0f9105fb220b8899c7bbb6
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.8
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