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Rspamd helper for CommuniGate Pro 6.x, version 3.0.0

Introduction

The rspamd-cgp Helper (external message filter) is designed for spam filtering. It receives messages from CommuniGate Pro and passes them to Rspamd for processing.

Features

  • High Performance: Starting with version 3.0.0, the Helper utilizes streaming data processing. This ensures near-constant memory consumption and a significant reduction in allocations, regardless of the processed message size.

  • The Helper receives messages from CommuniGate Pro via the External Filter Interface protocol and transmits them to Rspamd using the Rspamd protocol.

  • If a message is received from an authenticated source, the Helper passes the Auth: header in the Rspamd protocol.

  • The Helper determines the SMTP HELO/EHLO identity based on the first Received: header of the message and passes the Helo: header in the Rspamd protocol.

  • The Helper performs reverse DNS lookup for the message source IP address. If successful, it passes the Hostname: header in the Rspamd protocol. Lookup results are cached.

  • The Helper distinguishes between messages received from external sources and those generated by CommuniGate Pro. When passing generated messages to Rspamd, the Helper marks them as originating from a trusted source.

  • The Helper generates the X-Junk-Score: header based on the action returned by Rspamd. This header is processed by the built-in Spam Management rules configured in the CommuniGate Pro user interface.

  • The Helper adds all headers received from Rspamd to the message. The decision to include these headers is made on the Rspamd side.

  • Upon receiving an action: rewrite subject, the Helper rewrites the message Subject: as specified in the Rspamd response. This operation triggers the message to pass through the CommuniGate Pro PIPE.

  • In certain scenarios, to prevent double processing or message looping, the Helper adds an X-Rspamd-Seen: header to the processed message.

  • The Helper can perform additional message processing based on its configuration file using data from the Rspamd response. Additional processing can be applied to both actions and symbols. If multiple actions and symbols match in the configuration file for a specific message, the results are aggregated.

  • The Helper can process outbound messages. This allows utilizing various Rspamd modules to reduce False Positives (FP).

Installation

The Helper configuration file rspamd-cgp.yml is located by default in the same directory as the rspamd-cgp executable. An alternative configuration file path can be specified via the command line. All available settings are described in detail within the configuration file.

Below are the Helper settings and Rules within the CommuniGate Pro interface.

For Inbound Messages

Settings -> General -> Helpers

Settings -> Mail -> Rules -> RSPAMD_in

For Outbound Messages

Settings -> General -> Helpers

Settings -> Mail -> Rules -> RSPAMD_out

Command Line Arguments

    Usage of rspamd-cgp:
      -config string
            Set configuration file (default "rspamd-cgp.yml")
      -configdump
            Perform configuration file dump
      -configtest
            Perform configuration file test
      -debug
            Run in debug mode
      -outbound
            Outbound message flow processing
      -version
            Print version and exit

config

Specifies an alternative configuration file.

configdump

Outputs the configuration file in a formatted view.

configtest

Verifies the syntactic correctness of the configuration file.

debug

Outputs the Rspamd response (JSON) in a formatted view. Can be used to monitor symbols and other data returned by Rspamd. The input file must be in the CommuniGate Pro queue file format. Use only when running from the command line!!!

outbound

Processes the outbound message flow. If outbound messages are sent to external MTAs, spam check headers are not added. The specific messages to be processed in this mode are determined by the CommuniGate Pro Rule.


License

BSD License, LICENSE.md

Author

Andrey Igoshin <ai@vsu.ru>

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