The analysis of messages, received from Dr.Web MailD (or any other external application) for the signs of spam is performed using a third-party anti-spam solution. Analysis of messages is performed in a standalone mode, without requests to external sources of information on spam. This solution also provides a high rate of message processing and constant improvement of the message analysis quality due to the dynamic update of the database of rules for spam classification of messages (update is performed automatically via Dr.Web Updater).
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Users are provided with the opportunity to create own component (external application) using Dr.Web Anti-Spam for anti-spam scans of email messages. For this, Dr.Web Anti-Spam contains a special API, based on Google Protobuf. To obtain Dr.Web Anti-Spam API guide and examples of client application using Dr.Web Anti-Spam, contact Doctor Web partner care department (https://partners.drweb.com/). |
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Dr.Web Anti-Spam component is not included into the version of Dr.Web for UNIX Mail Servers for ARM64 and E2K architectures. |
Note that Dr.Web Anti-Spam normalizes points granted to email messages by the third-party anti-spam library by modifying them into a number from zero to one (percentage rating). Approximate concordance table of third-party anti-spam library points and ratings (percentage) of Dr.Web Anti-Spam is below.
Third-party Anti-spam Library Points |
Dr.Web Anti-Spam Percentage |
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0 or less |
0.00 |
0–10 |
0.00–0.19 |
10–50 |
0.19–0.63 |
50–100 |
0.63–0.80 |
100–150 |
0.80–0.86 |
150–200 |
0.86–0.90 |
200–300 |
0.90–0.93 |
300–400 |
0.93–0.95 |
400–500 |
0.95–0.96 |
500 and more |
0.96–1.00 |
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To obtain the precise value of p percentage of Dr.Web Anti-Spam for the specified amount of the third-party anti-spam library points b you can use the following formula: p = 2 · arctg(0.030777 · b) / π.
If any email messages are falsely detected by the email anti-spam component Dr.Web Anti-Spam, we recommend you to forward them to special addresses for analysis and improvement of spam filter quality. To do that, save each message to a separate .eml file. Then attach the files to an email message and forward it to the special address. •nonspam@drweb.com—if it contains email files, erroneously considered spam; •spam@drweb.com—if it contains spam email files, failed to be recognized as spam. |