# Towards Text-based Phishing Detection

arXiv: https://arxiv.org/abs/2111.01676 · HTML: https://mlsanity.com/paper/2111.01676/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 33 references that are in the map.
- First posted on arXiv 2 Nov 2021.

## Abstract (arXiv)

This paper reports on an experiment into text-based phishing detection using readily available resources and without the use of semantics. The developed algorithm is a modified version of previously published work that works with the same tools. The results obtained in recognizing phishing emails are considerably better than the previously reported work; but the rate of text falsely identified as phishing is slightly worse. It is expected that adding semantic component will reduce the false positive rate while preserving the detection accuracy.