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{{Infobox Software
'''Mailwasher''' is an [[e-mail filtering]] software for [[Microsoft Windows|Windows]] that can detect and delete [[E-mail spam|spam]] from a user's e-mail when it is on the mail server, before being downloaded to the user's computer.
| name = Mailwasher
| developer = [[Firetrust]]
| latest_release_version = 7.11.6
| latest_release_date = {{Start date and age|2018|07|27}}
| operating_system = [[Microsoft Windows]]
| size = 19.5 [[Megabyte|MB]]
| genre = [[email filtering|Email filterer]]
| license = [[Freeware]]
| website = {{URL|http://www.mailwasher.net/}}
}}
'''Mailwasher''' is an [[email filtering]] software for [[Microsoft Windows|Windows]] that can detect and delete [[Email spam|spam]] from a user's email when it is on the mail server, before being downloaded to the user's computer.


Mailwasher was developed by the [[New Zealand]] based company Firetrust. It uses a combination of user defined filters, spam databases and [[Bayesian spam filtering|Bayesian]] filtering. The filter works on a small portion of each email, and then allows unwanted emails to be directly deleted from the user's [[POP3]] inbox, without downloading them to the [[e-mail client]] on the user's computer. This approach is intended to prevent the downloading of spam and other messages infected with malware.
Mailwasher was developed by the [[New Zealand|New Zealand{{En dash}}]]<nowiki/>based company Firetrust. It uses a combination of user defined filters, spam databases and [[Bayesian spam filtering|Bayesian]] filtering. The filter works on a small portion of each email, and then allows unwanted emails to be directly deleted from the user's [[POP3]] inbox, without downloading them to the [[email client]] on the user's computer. This approach is intended to prevent the downloading of spam and other messages infected with malware.


There are two versions of the program. The free version can access only a single mail account and does not contain the Bayesian learning filter. The Pro version can access multiple accounts and has additional features.
There are two versions of the program. The free version can access only a single mail account and does not contain the Bayesian learning filter. The Pro version can access multiple accounts and has additional features.


== References ==
== References ==
* [http://www.pcworld.com/article/id,103299-page,1/article.html Article on ''Mailwasher''] by ''[[PC World (magazine)|PC World]]''
* [https://www.pcworld.com/article/231672/mailwasher_free.html Article on ''Mailwasher Free''] by ''[[PC World (magazine)|PC World]]''
* [https://www.pcworld.com/article/232887/mailwasher_pro.html ''Article on Mailwasher Pro''] by [[PC World (magazine)|''PC World'']]


== External links ==
== External links ==
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* [http://forum.firetrust.com/ Official User Assistance Forum]
* [http://forum.firetrust.com/ Official User Assistance Forum]


[[Category:Spam filtering]]
[[Category:Anti-spam]]
{{compu-soft-stub}}
{{Windows-software-stub}}

Latest revision as of 06:56, 18 May 2024

Mailwasher
Developer(s)Firetrust
Stable release
7.11.6 / July 27, 2018; 6 years ago (2018-07-27)
Operating systemMicrosoft Windows
Size19.5 MB
TypeEmail filterer
LicenseFreeware
Websitewww.mailwasher.net

Mailwasher is an email filtering software for Windows that can detect and delete spam from a user's email when it is on the mail server, before being downloaded to the user's computer.

Mailwasher was developed by the New Zealand–based company Firetrust. It uses a combination of user defined filters, spam databases and Bayesian filtering. The filter works on a small portion of each email, and then allows unwanted emails to be directly deleted from the user's POP3 inbox, without downloading them to the email client on the user's computer. This approach is intended to prevent the downloading of spam and other messages infected with malware.

There are two versions of the program. The free version can access only a single mail account and does not contain the Bayesian learning filter. The Pro version can access multiple accounts and has additional features.

References

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