Plugin:Spamotron/en - Revision history

FuzzyBot: Updating to match new version of source page

2024-07-10T19:40:33Z

Updating to match new version of source page

← Older revision		Revision as of 22:40, 10 July 2024
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	<languages/>{{PluginCard}}		<languages/>{{PluginCard}}
			{{TNT\|Message/Deprecated plugin\|Plugin development is discontinued because ICQ OSCAR protocol is no longer supported.}}
	Anti-spam plugin for {{Plugin\|ICQ}} with captcha and Bayes filtering.		Anti-spam plugin for {{Plugin\|ICQ}} with captcha and Bayes filtering.

FuzzyBot: Updating to match new version of source page

2024-07-10T18:46:51Z

Updating to match new version of source page

← Older revision		Revision as of 21:46, 10 July 2024
Line 1:		Line 1:
	<languages/>{{PluginCard}}		<languages/>{{PluginCard}}
	Anti-spam plugin with captcha and Bayes filtering.		Anti-spam plugin for {{Plugin\|ICQ}} with captcha and Bayes filtering.

	== Description ==		== Description ==
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	The logic of Spam-o-tron is simple. By default, any message or authorization request from a not-in-list contact is blocked and contact is hidden until verified to be a human. You have several options to do that: a challenge request with static/regexp response ("no-spam" by default, multiple answers can be provided with all/round-robin/random selection) and a simpe dynamic math expression like 3 + 2 (generated randomly). Numbers are 1 to 10 so that no one needs a calculator to get an answer. Upon receiving correct answer contact gets approved and optionally gets added to the contact list.		The logic of Spam-o-tron is simple. By default, any message or authorization request from a not-in-list contact is blocked and contact is hidden until verified to be a human. You have several options to do that: a challenge request with static/regexp response ("no-spam" by default, multiple answers can be provided with all/round-robin/random selection) and a simpe dynamic math expression like 3 + 2 (generated randomly). Numbers are 1 to 10 so that no one needs a calculator to get an answer. Upon receiving correct answer contact gets approved and optionally gets added to the contact list.

	By default Bayes is in learning mode. That is no actions are being done to block or pass through a message or authorization request. If a contact gets approved, his previous messages are considered ham and are added to a Bayes database. If a contact doesn't respond with a correct answer for 2 days all previous messages are considered spam. The database is an SQLite database located in <tt>Plugins/spamotron</tt> folder. Since IM spam is not that frequent as email spam, you might need some time for Bayes engine to learn sufficient number of messages. To speed things up you have an option to manually learn any message as spam or ham. A good place to start is a System history. Usually it has a lot of e. g. spam authorization requests. Having learned at least 50 of spam and 20 of ham messages you may try to enable blocking of messages with a high spam score and/or automatically approve contacts with a low score. Both are configurable.		By default Bayes is in learning mode. That is no actions are being done to block or pass through a message or authorization request. If a contact gets approved, his previous messages are considered ham and are added to a Bayes database. If a contact doesn't respond with a correct answer for 2 days all previous messages are considered spam. The database is an SQLite database located in <tt>Plugins/spamotron</tt> folder. Since ICQ spam is not that frequent as email spam, you might need some time for Bayes engine to learn sufficient number of messages. To speed things up you have an option to manually learn any message as spam or ham. A good place to start is a System history. Usually it has a lot of e. g. spam authorization requests. Having learned at least 50 of spam and 20 of ham messages you may try to enable blocking of messages with a high spam score and/or automatically approve contacts with a low score. Both are configurable.

	When multiple answers are specified %response% variable is populated with the first response value for the simple mode, random value for the random mode and a value sequentially rotated with each message from a contact for round-robin mode. Each response value can be a perl regular expression (examples: <tt>/^no[-_]?spam$/i</tt>, <tt>/no-Spam/</tt>). For simple mode the message is matched against all of the responses and for round-robin/random modes for the one used in a last challenge request that was sent to the contact. You can also use %response-n% (%response-1%, %response-2%, and so on) variables to insert a specific response in the challenge request (which makes sense only for the simple mode).		When multiple answers are specified %response% variable is populated with the first response value for the simple mode, random value for the random mode and a value sequentially rotated with each message from a contact for round-robin mode. Each response value can be a perl regular expression (examples: <tt>/^no[-_]?spam$/i</tt>, <tt>/no-Spam/</tt>). For simple mode the message is matched against all of the responses and for round-robin/random modes for the one used in a last challenge request that was sent to the contact. You can also use %response-n% (%response-1%, %response-2%, and so on) variables to insert a specific response in the challenge request (which makes sense only for the simple mode).

FuzzyBot: Updating to match new version of source page

2024-06-26T15:06:44Z

Updating to match new version of source page

← Older revision		Revision as of 18:06, 26 June 2024
Line 1:		Line 1:
	<languages/>{{PluginCard}}		<languages/>{{PluginCard}}
	Anti-spam plugin ~~for {{Plugin\|ICQ}}~~ with captcha and Bayes filtering.		Anti-spam plugin with captcha and Bayes filtering.

	== Description ==		== Description ==
Line 6:		Line 6:
	The logic of Spam-o-tron is simple. By default, any message or authorization request from a not-in-list contact is blocked and contact is hidden until verified to be a human. You have several options to do that: a challenge request with static/regexp response ("no-spam" by default, multiple answers can be provided with all/round-robin/random selection) and a simpe dynamic math expression like 3 + 2 (generated randomly). Numbers are 1 to 10 so that no one needs a calculator to get an answer. Upon receiving correct answer contact gets approved and optionally gets added to the contact list.		The logic of Spam-o-tron is simple. By default, any message or authorization request from a not-in-list contact is blocked and contact is hidden until verified to be a human. You have several options to do that: a challenge request with static/regexp response ("no-spam" by default, multiple answers can be provided with all/round-robin/random selection) and a simpe dynamic math expression like 3 + 2 (generated randomly). Numbers are 1 to 10 so that no one needs a calculator to get an answer. Upon receiving correct answer contact gets approved and optionally gets added to the contact list.

	By default Bayes is in learning mode. That is no actions are being done to block or pass through a message or authorization request. If a contact gets approved, his previous messages are considered ham and are added to a Bayes database. If a contact doesn't respond with a correct answer for 2 days all previous messages are considered spam. The database is an SQLite database located in <tt>Plugins/spamotron</tt> folder. Since ~~ICQ~~ spam is not that frequent as email spam, you might need some time for Bayes engine to learn sufficient number of messages. To speed things up you have an option to manually learn any message as spam or ham. A good place to start is a System history. Usually it has a lot of e. g. spam authorization requests. Having learned at least 50 of spam and 20 of ham messages you may try to enable blocking of messages with a high spam score and/or automatically approve contacts with a low score. Both are configurable.		By default Bayes is in learning mode. That is no actions are being done to block or pass through a message or authorization request. If a contact gets approved, his previous messages are considered ham and are added to a Bayes database. If a contact doesn't respond with a correct answer for 2 days all previous messages are considered spam. The database is an SQLite database located in <tt>Plugins/spamotron</tt> folder. Since IM spam is not that frequent as email spam, you might need some time for Bayes engine to learn sufficient number of messages. To speed things up you have an option to manually learn any message as spam or ham. A good place to start is a System history. Usually it has a lot of e. g. spam authorization requests. Having learned at least 50 of spam and 20 of ham messages you may try to enable blocking of messages with a high spam score and/or automatically approve contacts with a low score. Both are configurable.

	When multiple answers are specified %response% variable is populated with the first response value for the simple mode, random value for the random mode and a value sequentially rotated with each message from a contact for round-robin mode. Each response value can be a perl regular expression (examples: <tt>/^no[-_]?spam$/i</tt>, <tt>/no-Spam/</tt>). For simple mode the message is matched against all of the responses and for round-robin/random modes for the one used in a last challenge request that was sent to the contact. You can also use %response-n% (%response-1%, %response-2%, and so on) variables to insert a specific response in the challenge request (which makes sense only for the simple mode).		When multiple answers are specified %response% variable is populated with the first response value for the simple mode, random value for the random mode and a value sequentially rotated with each message from a contact for round-robin mode. Each response value can be a perl regular expression (examples: <tt>/^no[-_]?spam$/i</tt>, <tt>/no-Spam/</tt>). For simple mode the message is matched against all of the responses and for round-robin/random modes for the one used in a last challenge request that was sent to the contact. You can also use %response-n% (%response-1%, %response-2%, and so on) variables to insert a specific response in the challenge request (which makes sense only for the simple mode).

FuzzyBot: Updating to match new version of source page

2017-12-31T13:40:43Z

Updating to match new version of source page

← Older revision		Revision as of 16:40, 31 December 2017
Line 1:		Line 1:
	{{PluginCard}}		<languages/>{{PluginCard}}
	Anti-spam plugin for {{Plugin\|ICQ}} with captcha and Bayes filtering.		Anti-spam plugin for {{Plugin\|ICQ}} with captcha and Bayes filtering.

			== Description ==

	~~== Description ==~~
	The logic of Spam-o-tron is simple. By default, any message or authorization request from a not-in-list contact is blocked and contact is hidden until verified to be a human. You have several options to do that: a challenge request with static/regexp response ("no-spam" by default, multiple answers can be provided with all/round-robin/random selection) and a simpe dynamic math expression like 3 + 2 (generated randomly). Numbers are 1 to 10 so that no one needs a calculator to get an answer. Upon receiving correct answer contact gets approved and optionally gets added to the contact list.		The logic of Spam-o-tron is simple. By default, any message or authorization request from a not-in-list contact is blocked and contact is hidden until verified to be a human. You have several options to do that: a challenge request with static/regexp response ("no-spam" by default, multiple answers can be provided with all/round-robin/random selection) and a simpe dynamic math expression like 3 + 2 (generated randomly). Numbers are 1 to 10 so that no one needs a calculator to get an answer. Upon receiving correct answer contact gets approved and optionally gets added to the contact list.

Line 10:		Line 10:
	When multiple answers are specified %response% variable is populated with the first response value for the simple mode, random value for the random mode and a value sequentially rotated with each message from a contact for round-robin mode. Each response value can be a perl regular expression (examples: <tt>/^no[-_]?spam$/i</tt>, <tt>/no-Spam/</tt>). For simple mode the message is matched against all of the responses and for round-robin/random modes for the one used in a last challenge request that was sent to the contact. You can also use %response-n% (%response-1%, %response-2%, and so on) variables to insert a specific response in the challenge request (which makes sense only for the simple mode).		When multiple answers are specified %response% variable is populated with the first response value for the simple mode, random value for the random mode and a value sequentially rotated with each message from a contact for round-robin mode. Each response value can be a perl regular expression (examples: <tt>/^no[-_]?spam$/i</tt>, <tt>/no-Spam/</tt>). For simple mode the message is matched against all of the responses and for round-robin/random modes for the one used in a last challenge request that was sent to the contact. You can also use %response-n% (%response-1%, %response-2%, and so on) variables to insert a specific response in the challenge request (which makes sense only for the simple mode).

			== External links ==

	~~== External links ==~~
	* Description taken from the [http://vu1tur.eu.org/spamotron author's website].		* Description taken from the [http://vu1tur.eu.org/spamotron author's website].

	{{PluginGroups}}		{{PluginGroups}}

RMN: for ICQ only

2013-08-15T12:25:56Z

for ICQ only

← Older revision		Revision as of 15:25, 15 August 2013
Line 1:		Line 1:
	{{PluginCard}}		{{PluginCard}}
	Anti-spam plugin with captcha and Bayes filtering.		Anti-spam plugin for {{Plugin\|ICQ}} with captcha and Bayes filtering.


	== Description ==		== Description ==
Line 8:		Line 9:

	When multiple answers are specified %response% variable is populated with the first response value for the simple mode, random value for the random mode and a value sequentially rotated with each message from a contact for round-robin mode. Each response value can be a perl regular expression (examples: <tt>/^no[-_]?spam$/i</tt>, <tt>/no-Spam/</tt>). For simple mode the message is matched against all of the responses and for round-robin/random modes for the one used in a last challenge request that was sent to the contact. You can also use %response-n% (%response-1%, %response-2%, and so on) variables to insert a specific response in the challenge request (which makes sense only for the simple mode).		When multiple answers are specified %response% variable is populated with the first response value for the simple mode, random value for the random mode and a value sequentially rotated with each message from a contact for round-robin mode. Each response value can be a perl regular expression (examples: <tt>/^no[-_]?spam$/i</tt>, <tt>/no-Spam/</tt>). For simple mode the message is matched against all of the responses and for round-robin/random modes for the one used in a last challenge request that was sent to the contact. You can also use %response-n% (%response-1%, %response-2%, and so on) variables to insert a specific response in the challenge request (which makes sense only for the simple mode).


	== External links ==		== External links ==

RMN at 17:13, 27 May 2013

2013-05-27T17:13:01Z

← Older revision		Revision as of 20:13, 27 May 2013
Line 2:		Line 2:
	Anti-spam plugin with captcha and Bayes filtering.		Anti-spam plugin with captcha and Bayes filtering.

	==Description ==		== Description ==
	The logic of Spam-o-tron is simple~~. We will leave Bayes alone for now~~. By default, any message or authorization request from a not-in-list contact is blocked and contact is hidden until verified to be a human. You have several options to do that: a challenge request with static/regexp response (~~“no~~-~~spam”~~ by default, multiple answers can be provided with all/round-robin/random selection) and a simpe dynamic math expression like 3 + 2 (generated randomly). Numbers are 1 to 10 so that no one needs a calculator to get an answer. Upon receiving correct answer contact gets approved and optionally gets added to the contact list.		The logic of Spam-o-tron is simple. By default, any message or authorization request from a not-in-list contact is blocked and contact is hidden until verified to be a human. You have several options to do that: a challenge request with static/regexp response ("no-spam" by default, multiple answers can be provided with all/round-robin/random selection) and a simpe dynamic math expression like 3 + 2 (generated randomly). Numbers are 1 to 10 so that no one needs a calculator to get an answer. Upon receiving correct answer contact gets approved and optionally gets added to the contact list.

	By default Bayes is in learning mode. That is no actions are being done to block or pass through a message or authorization request. If a contact gets approved, his previous messages are considered ham and are added to a Bayes database. If a contact ~~doesn’t~~ respond with a correct answer for 2 days all previous messages are considered spam. The database is an SQLite database located in Plugins/spamotron folder. Since ICQ spam is not that frequent as email spam, you might need some time for Bayes engine to learn sufficient number of messages. To speed things up you have an option to manually learn any message as spam or ham. A good place to start is a System history. ~~Mine had~~ a lot of spam authorization requests. Having learned at least 50 of spam and 20 of ham messages you may try to enable blocking of messages with a high spam score and/or automatically approve contacts with a low score. Both are configurable.		By default Bayes is in learning mode. That is no actions are being done to block or pass through a message or authorization request. If a contact gets approved, his previous messages are considered ham and are added to a Bayes database. If a contact doesn't respond with a correct answer for 2 days all previous messages are considered spam. The database is an SQLite database located in <tt>Plugins/spamotron</tt> folder. Since ICQ spam is not that frequent as email spam, you might need some time for Bayes engine to learn sufficient number of messages. To speed things up you have an option to manually learn any message as spam or ham. A good place to start is a System history. Usually it has a lot of e. g. spam authorization requests. Having learned at least 50 of spam and 20 of ham messages you may try to enable blocking of messages with a high spam score and/or automatically approve contacts with a low score. Both are configurable.

	When multiple answers are specified %response% variable is populated with the first response value for the simple mode, random value for the random mode and a value sequentially rotated with each message from a contact for round-robin mode. Each response value can be a perl regular expression (examples: /^no[-_]?spam$/i, /no-Spam/). For simple mode the message is matched against all of the responses and for round-robin/random modes for the one used in a last challenge request that was sent to the contact. You can also use %response-n% (%response-1%, %response-2%, and so on) variables to insert a specific response in the challenge request (which makes sense only for the simple mode).		When multiple answers are specified %response% variable is populated with the first response value for the simple mode, random value for the random mode and a value sequentially rotated with each message from a contact for round-robin mode. Each response value can be a perl regular expression (examples: <tt>/^no[-_]?spam$/i</tt>, <tt>/no-Spam/</tt>). For simple mode the message is matched against all of the responses and for round-robin/random modes for the one used in a last challenge request that was sent to the contact. You can also use %response-n% (%response-1%, %response-2%, and so on) variables to insert a specific response in the challenge request (which makes sense only for the simple mode).

	== External links ==		== External links ==

Wishmaster: description from authors website

2013-05-27T15:57:37Z

description from authors website

← Older revision		Revision as of 18:57, 27 May 2013
Line 1:		Line 1:
	{{PluginCard}}		{{PluginCard}}
	Anti-spam plugin with captcha and Bayes filtering.		Anti-spam plugin with captcha and Bayes filtering.

			==Description ==
			The logic of Spam-o-tron is simple. We will leave Bayes alone for now. By default, any message or authorization request from a not-in-list contact is blocked and contact is hidden until verified to be a human. You have several options to do that: a challenge request with static/regexp response (“no-spam” by default, multiple answers can be provided with all/round-robin/random selection) and a simpe dynamic math expression like 3 + 2 (generated randomly). Numbers are 1 to 10 so that no one needs a calculator to get an answer. Upon receiving correct answer contact gets approved and optionally gets added to the contact list.

			By default Bayes is in learning mode. That is no actions are being done to block or pass through a message or authorization request. If a contact gets approved, his previous messages are considered ham and are added to a Bayes database. If a contact doesn’t respond with a correct answer for 2 days all previous messages are considered spam. The database is an SQLite database located in Plugins/spamotron folder. Since ICQ spam is not that frequent as email spam, you might need some time for Bayes engine to learn sufficient number of messages. To speed things up you have an option to manually learn any message as spam or ham. A good place to start is a System history. Mine had a lot of spam authorization requests. Having learned at least 50 of spam and 20 of ham messages you may try to enable blocking of messages with a high spam score and/or automatically approve contacts with a low score. Both are configurable.

			When multiple answers are specified %response% variable is populated with the first response value for the simple mode, random value for the random mode and a value sequentially rotated with each message from a contact for round-robin mode. Each response value can be a perl regular expression (examples: /^no[-_]?spam$/i, /no-Spam/). For simple mode the message is matched against all of the responses and for round-robin/random modes for the one used in a last challenge request that was sent to the contact. You can also use %response-n% (%response-1%, %response-2%, and so on) variables to insert a specific response in the challenge request (which makes sense only for the simple mode).

	== External links ==		== External links ==
	* [http://vu1tur.eu.org/spamotron ~~Author~~'s website]		* Description taken from the [http://vu1tur.eu.org/spamotron author's website].

	{{PluginGroups}}		{{PluginGroups}}

RMN: link to the website

2013-05-22T21:59:11Z

link to the website

← Older revision		Revision as of 00:59, 23 May 2013
Line 1:		Line 1:
	{{PluginCard}}		{{PluginCard}}
	Anti-spam plugin with captcha and Bayes filtering.		Anti-spam plugin with captcha and Bayes filtering.

			== External links ==
			* [http://vu1tur.eu.org/spamotron Author's website]

	{{PluginGroups}}		{{PluginGroups}}

GBot: PluginGroups added

2013-05-19T16:50:54Z

PluginGroups added

← Older revision		Revision as of 19:50, 19 May 2013
Line 1:		Line 1:
	{{PluginCard}}		{{PluginCard}}
	Anti-spam plugin with captcha and Bayes filtering.		Anti-spam plugin with captcha and Bayes filtering.

			{{PluginGroups}}

Watcher at 06:13, 19 May 2013

2013-05-19T06:13:55Z

← Older revision		Revision as of 09:13, 19 May 2013
Line 1:		Line 1:
	{{PluginCard}}		{{PluginCard}}
	Anti-spam plugin ~~for Miranda NG~~.		Anti-spam plugin with captcha and Bayes filtering.