Filtro de Spam

An inbox free of annoyances. Tired of slogging through a neverending torrent of spam? Sick of wasting precious time trying…

An inbox free of annoyances.

Tired of slogging through a neverending torrent of spam? Sick of wasting precious time trying to find your emails through the muck of unsolicited content? Let us help.

Filtering features:

Anti Spam Protection
The SpamAssassin backend provides blacklist and whitelist functionality, text and header analysis, Bayesian (learning) filters, and DNSBL support. User mailboxes are kept clean of unwanted Spam messages that clutter the filesystem and waste user productivity. Spamassassin is designed and optimized to function under Linux/Unix.

Group and User Filtering
Email filters can be defined for specific email accounts, groups, and domain names.

Extensive logs
Email filtering can be logged to facilitate tracking of denied/filtered messages. Using the WebAdmin interface the administrator can track incoming Spam messages and view log file activity graphically.

User Level Antispam Settings
Using the Atmail WebMail interface users can define custom antispam settings for their account. Users can choose the level of antispam-filtering, where to route Spam messages, define user-level white/blacklists, and enable Bayesian filtering.

Whitelist & Blacklist support
The Administrator and/or individual users can define Blacklists — lists of domain names & email addresses from which undesired mail is known to originate, and should be ignored. Adding a domain name or email address to a Blacklist automatically qualifies messages from those locations as Spam. The Whitelist feature allows the admin to enter trusted domain names & email addresses so that messages from those senders will be bypassed by the anti spam filter. Adding a domain name or email address to a Whitelist ensures that messages from those locations will not be handled as Spam.

Bayesian filtering
The Bayesian filters identify Spam by searching incoming messages for tokens (words or short character sequences that are commonly found in Spam). As the filter rules qualify messages as Spam, characteristic strings are logged which can be used to identify future instances of undesired content. The filters will be trained automatically as email is delivered to Atmail. Optionally, users can train the Bayesian filter by moving selected messages to the anti spam folder via the Webadmin interface.

DNS Blacklist (DNSBL) support
DNSBL is a network of services that provide blacklists of known Spammers. Incoming messages can be checked on the fly against the DNSBL network to determine if the originating address is known to be a source of Spam.

Pattern matching engine
Messages are parsed through various tests to determine if the message is Spam. Keywords and regular expressions are pattern-matched with incoming emails to identify unwanted messages. The pattern-matching engine is optimized for maximum performance and does not slow down email delivery.

Message redirection
Email marked as Spam can be diverted in several ways: Messages can be deleted from the system, moved to the anti spam folder for the local recipient’s account, or delivered to the user’s Inbox with the Email subject modified to indicate that the message is Spam. The latter ensures that no legitimate messages are accidentally lost or deleted from the system.

Easy to maintain
Using the WebAdmin interface, the admin can easily set up filter rules, monitor the volume of incoming Spam, and quickly blacklist malicious senders.

Interface demo

By utilizing the Anti-Spam features of Atmail, user accounts can be reliably protected from unwanted Spam messages. See the Atmail WebAdmin to view an example of the interface which controls and manages the email filtering. Full server reporting is included for Spam messages, and user-level Spam settings configurable via the Webmail interface

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