A Gmail-Based Phishing Detection Prototype for Nigerian Fintech Emails Using Sender Checks and BiLSTM Classification
A Gmail extension prototype detects Nigerian fintech phishing with sender checks and a BiLSTM classifier.
Researchers describe a Gmail browser extension that checks sender domains and URLs for eight Nigerian fintech platforms and scores messages with a locally hosted BiLSTM classifier. On 8,943 test emails from a cleaned set of 59,622 messages, they report 4,308 true negatives, no false positives, one false negative, and 4,634 true positives, or 99.99% accuracy and F1. They note 5.79% token overlap between train and test sets, and say the full extension was demonstrated but not evaluated end to end on a labeled set.
- Extension compares senders and links against profiles for eight fintech platforms.
- BiLSTM scored 99.99% accuracy on 8,943 messages, with one false negative.
- A 5.79% training-test token overlap may inflate reported performance.
- The Gmail demo was not evaluated on a labeled end-to-end test set.
From the original article
1 min read at arxiv.orgPhishing emails that impersonate Nigerian fintech providers can combine deceptive sender addresses, lookalike links, and locally familiar language. This study presents a Gmail browser extension that integrates sender-domain and URL checks with a bidirectional long short-term memory (BiLSTM) classifier.
By Gideon Francis Oghie · arxiv.org
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