http://bugzilla.spamassassin.org/show_bug.cgi?id=3112
Summary: Division by zero errors when 0 significant Bayes tokens
using Robinson comb.
Product: Spamassassin
Version: SVN Trunk (Latest Devel Version)
Platform: Other
OS/Version: other
Status: NEW
Severity: normal
Priority: P5
Component: spamassassin
AssignedTo: [EMAIL PROTECTED]
ReportedBy: [EMAIL PROTECTED]
The Bayesian classifier (Bayes::scan) will attempt to score a message
with zero significant tokens (with at least one in the database)
leading to division-by-zero errors in the
robinson_naive_bayes_probs_combine routine.
The patch below aborts Bayesian classification if there are zero
significant tokens (regardless of how
REQUIRE_SIGNIFICANT_TOKENS_TO_SCORE is set).
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