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Analyzed 8 months ago. based on code collected over 1 year ago.

Project Summary

Are you tired of the constant bombardment of your inbox by unwanted email pushing everything from porn to get rich quick schemes? Have you tried other spam filters but become disenchanted with them when you realized that their manually generated rule sets weren't updated fast enough to keep up with spammers wording changes? Or that they generated unwanted false positive scores?

SpamProbe operates on a different basis entirely. Instead of using pattern matching and a set of human generated rules SpamProbe relies on a Bayesian analysis of the frequency of words used in spam and non-spam emails received by an individual person. The process is completely automatic and tailors itself to the kinds of emails that each person receives.

Tags

antispam bayesian email filter smtp spam

In a Nutshell, SpamProbe...

Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

Did You Know...

  • ...
    use of OSS increased in 65% of companies in 2016
  • ...
    search using multiple tags to find exactly what you need
  • ...
    55% of companies leverage OSS for production infrastructure
  • ...
    compare projects before you chose one to use
About Project Security

Languages

Languages?height=75&width=75
C++
51%
Autoconf
33%
shell script
6%
6 Other
10%

30 Day Summary

Feb 22 2019 — Mar 24 2019

12 Month Summary

Mar 24 2018 — Mar 24 2019

Ratings

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