Phishytics – Machine Learning for Detecting Phishing Websites
Hallo zusammen, sofern nicht selber schon gesehen/-lesen hier [0] FYI "Phishytics – Machine Learning for Detecting Phishing Websites" (den Quell-Code gibt es auf [1]) VG Bernd [0] https://faizanahmad.tech/blog/2020/02/phishytics-machine-learning-for-phishi... [1] https://github.com/faizann24/phishytics-machine-learning-for-phishing -- Bernd Kohler IT Center Abteilung: Netze RWTH Aachen University Wendlingweg 10 52074 Aachen Tel: +49 241 80-29793 Fax: +49 241 80-22666 kohler@itc.rwth-aachen.de https://www.itc.rwth-aachen.de
python test_pretrained_model.py --tokenizer_folder pretrained_models/ --threshold 0.5 --model_dir pretrained_models --website_to_test 'https://sso.rwth-aachen.de/idp/profile/SAML2/Redirect/SSO?execution=e1s1'
Tokenizer files have been loaded and the vocab size is 10000...
Model loaded...
Document frequency dictionary loaded...
Loading webpage...
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--> Probability that the website is phishing: 54.00
--> Based on your threshold of 0.50, this website is +++'PHISHING'+++
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Gefährlich, diese Loginseiten… Am 28.02.20 um 12:05 schrieb Bernd Kohler:
Hallo zusammen,
sofern nicht selber schon gesehen/-lesen hier [0] FYI
"Phishytics – Machine Learning for Detecting Phishing Websites"
(den Quell-Code gibt es auf [1])
VG
Bernd
[0] https://faizanahmad.tech/blog/2020/02/phishytics-machine-learning-for-phishi...
[1] https://github.com/faizann24/phishytics-machine-learning-for-phishing
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Hallo Robin. Am 28.02.20 um 12:53 schrieb Robin Sonnabend:
... Gefährlich, diese Loginseiten… ...
OK, ist novch ausbaufähig, aber da gehtg die Reis ehin, siehe z.B. [0] VG Bernd [0] https://www.wired.com/story/gmail-catching-more-malicious-attachments-deep-l... -- Bernd Kohler IT Center Abteilung: Netze RWTH Aachen University Wendlingweg 10 52074 Aachen Tel: +49 241 80-29793 Fax: +49 241 80-22666 kohler@itc.rwth-aachen.de https://www.itc.rwth-aachen.de
participants (2)
-
Bernd Kohler -
Robin Sonnabend