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authorLukenShiro <lukenshiro@ngi.it>2010-04-09 18:58:32 +0100
committerHeinz Wiesinger <pprkut@slackbuilds.org>2010-05-15 10:26:14 +0200
commitaed3e235d3d30e1686f9a2ba0752467b166f9ed4 (patch)
tree386688ced4c422ab38de955aecedcc2da1262cf2 /network/spamassassin/README
parentb74aec2963b071349c332c848563118d2f67e87b (diff)
downloadslackbuilds-aed3e235d3d30e1686f9a2ba0752467b166f9ed4.tar.gz
network/spamassasin: Updated for version 3.3.1
Diffstat (limited to 'network/spamassassin/README')
-rw-r--r--network/spamassassin/README5
1 files changed, 2 insertions, 3 deletions
diff --git a/network/spamassassin/README b/network/spamassassin/README
index 824d692028..f005db8bfb 100644
--- a/network/spamassassin/README
+++ b/network/spamassassin/README
@@ -1,9 +1,9 @@
spamassassin - perl e-mail filter to identify spam
Spamassassin is an intelligent email filter which uses a diverse range
-of tests to identify unsolicited bulk email, more commonly known as Spam.
+of tests to identify unsolicited bulk email, more commonly known as Spam.
These tests are applied to email headers and content to classify email using
-advanced statistical methods. It has a modular architecture that allows
+advanced statistical methods. It has a modular architecture that allows
other technologies to be quickly wielded against spam and is designed for
easy integration into virtually any email system.
@@ -22,4 +22,3 @@ You may want to install pyzor, too.
All required packages are available from SlackBuilds.org.
Before using, please read README.SLACKWARE file.
-