  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.
