provide geographic information about mail senders.
Use MaxMind's GeoIP databases to report geographic information about senders. This plugin has support for both the maxmind and geoip-lite node modules.
Install the npm geoip module you prefer:
npm install maxmind or npm install -g geoip-lite
If both are installed, maxmind will be preferred as it's faster and also provides ASN data. The maxmind module requires manual download of the GeoIP databases. The npm module
maxmind-geolite-mirror will download the files and keep them up-to-date if you run it periodically.
mkdir -p /usr/local/share/GeoIP npm install -g maxmind-geolite-mirror /usr/local/bin/maxmind-geolite-mirror
GeoIP results are stored in connection.notes.geoip and connection.results .connect.geoip. The following information is typically available:
continent: NA, country: US,
If the GeoIP city database is available, the following may also be available:
region: CA, city: San Francisco, ll: [37.7484, -122.4156], distance: 1539 // in kilometers range: [ 3479299040, 3479299071 ],
connect.geoip also adds entries like this to your logs:
[connect.geoip] US [connect.geoip] US, WA [connect.geoip] US, WA, Seattle [connect.geoip] US, WA, Seattle, 1319km
Calculating the distance requires the public IP of this mail server. This may
be the IP that Haraka is bound to. If not, make sure that
can figure it out (via STUN or in
Perform the geodesic distance calculations. Calculates the distance "as the crow flies" from the remote mail server.
This calculation requires a 'from' IP address. This will typically be the
public IP of your mail server. If Haraka is bound to a private IP, net_utils
will attempt to determine your public IP. If that doesn't work, edit
config/smtp.ini and set
show city data in logs and headers. City data is less accurate than country.
- show_region in logs and headers. Regional data are US states, Canadian provinces and such.
Set a connection result to true if the distance exceeds this many kilometers.
Permits reporting the ASN as another plugin (such as connect.asn).
SPAM PREDICTION WITH DISTANCE
Spatio-temporal Network-level Automatic Reputation Engine
"For ham, 90% of the messages travel about 4,000 km or less. On the other hand, for spam, only 28% of messages stay within this range."
Observations in 2014 suggest that geodesic distance continues to be an excellent predictor of spam.
The distance calculations are more concerned with being fast than accurate. The MaxMind location data is collected from whois and is of limited accuracy. MaxMind offers more accurate data for a fee.
For distance calculations, the earth is considered a perfect sphere. In reality, it is not. Accuracy should be within 1%.
This plugin does not update the GeoIP databases. You may want to.
Keep an eye on node-geoip and see if they add ASN support. This would be an alternative to connect.asn which uses a DNS lookup to retrieve the ASN.