Licensing & Copyright

New all-in-one Python script to auto-generate a single unified GeoIP.acl file for BIND that spans both the IPv4 and IPv6 address space!

#!/bin/env python3
#
# All-in-one Python script for auto-generating the GeoIP.acl file for BIND,
# the Berkeley Internet Name Domain.
#
# It sources GeoIP data from MaxMind/IP2Location/DB-IP and processes it to
# generate a unified GeoIP.acl file, in the current working directory,
# containing country specific ACLs for both the IPv4 and IPv6 address space.
#
# For the latest version, including any updates and/or bug fixes, visit
# https://geoip.site/GeoIP.py
#
# Copyright © 2020 Mark Hedges <[email protected]>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
#   * Redistributions of source code must retain the above copyright
#     notice, this list of conditions and the following disclaimer.
#
#   * Redistributions in binary form must reproduce the above copyright
#     notice, this list of conditions and the following disclaimer in the
#     documentation and/or other materials provided with the distribution.
#
#   * Neither the name of the copyright holder nor the
#     names of its contributors may be used to endorse or promote products
#     derived from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.


import re
import gzip
import pandas
import socket
import struct
import fnmatch
import zipfile
import requests

from sys import argv
from mpmath import mag
from datetime import date
from tempfile import mkstemp
from os import environ, remove


USER_AGENT = 'https://geoip.site/GeoIP.py'


def fetch(url):
    '''
    Helper function for fetching a file.
    '''

    filename = mkstemp()[1]

    try:
        open(filename, 'wb').write(requests.get(url, headers={'User-Agent': USER_AGENT}).content)

    except:
        remove(filename)
        raise

    return filename


def MaxMind(url, kwargs):
    '''
    Custom function for processing MaxMind GeoLite2 Country & City CSV databases.
    '''

    def read(pattern, **kwargs):
        pattern = f'GeoLite2-{db}-CSV_*/GeoLite2-{db}-{pattern}.csv'
        files = fnmatch.filter(i.namelist(), pattern)
        if len(files) != 1:
            remove(filename)
            raise Exception('Failed to locate exactly one file matching:\n  %s\nwithin:\n  %s' % (pattern, url))
        return pandas.read_csv(i.open(files[0]), **kwargs)

    db = kwargs['db']
    key = kwargs['key']
    dtype = {x: str for x in key}
    dtype['postal_code'] = str

    filename = fetch(url)
    i = zipfile.ZipFile(filename)
    locations = read('Locations-en', keep_default_na=False)

    acls = {}

    for v in '46':
        seen = set()
        for geoname_id in ['geoname_id', 'registered_country_geoname_id', 'represented_country_geoname_id']:
            blocks = read('Blocks-IPv' + v, dtype=dtype).fillna(0)
            blocks[geoname_id] = blocks[geoname_id].astype(int)
            df = pandas.merge(locations, blocks, left_on='geoname_id', right_on=geoname_id)[key + ['network']]
            if df.empty:
                continue
            df['key'] = df[key].apply(lambda x: ':'.join(filter(None, x)) or 'ZZ', axis=1)
            for acl in df.key.unique():
                networks = df.loc[acl == df.key].network.to_list()
                acls.setdefault(acl, []).extend(x for x in networks if x not in seen)
                seen.update(networks)

    remove(filename)

    return acls


'''
Define source of GeoIP data and how to process it.
'''
PROVIDERS = {

    'DB-IP': [
        [
            dict(range=[0, 1], key=[2]),
            'https://download.db-ip.com/free/dbip-country-lite-{}.csv.gz'.format(date.today().strftime('%Y-%m')),
            None,
        ],
    ],

    'DB-IP.continent': [
        [
            dict(range=[0, 1], key=[2]),
            'https://download.db-ip.com/free/dbip-city-lite-{}.csv.gz'.format(date.today().strftime('%Y-%m')),
            None,
        ],
    ],

    'DB-IP.region': [
        [
            dict(range=[0, 1], key=[3, 4]),
            'https://download.db-ip.com/free/dbip-city-lite-{}.csv.gz'.format(date.today().strftime('%Y-%m')),
            None,
        ],
    ],

    'IP2Location': [
        [
            dict(range=[0, 1], key=[2]),
            'https://download.ip2location.com/lite/IP2LOCATION-LITE-DB1.CSV.ZIP',
            'IP2LOCATION-LITE-DB1.CSV',
        ],
        [
            dict(range=[0, 1], key=[2]),
            'https://download.ip2location.com/lite/IP2LOCATION-LITE-DB1.IPV6.CSV.ZIP',
            'IP2LOCATION-LITE-DB1.IPV6.CSV',
        ],
    ],

    'MaxMind': [
        [
            MaxMind,
            'https://download.maxmind.com/app/geoip_download?edition_id=GeoLite2-Country-CSV&suffix=zip&license_key=' + environ['MAXMIND_LICENSE_KEY'],
            dict(db='Country', key=['country_iso_code']),
        ],
    ],

    'MaxMind.area': [
        [
            MaxMind,
            'https://download.maxmind.com/app/geoip_download?edition_id=GeoLite2-City-CSV&suffix=zip&license_key=' + environ['MAXMIND_LICENSE_KEY'],
            dict(db='City', key=['country_iso_code', 'subdivision_1_iso_code', 'subdivision_2_iso_code', 'metro_code']),
        ],
    ],

    'MaxMind.continent': [
        [
            MaxMind,
            'https://download.maxmind.com/app/geoip_download?edition_id=GeoLite2-Country-CSV&suffix=zip&license_key=' + environ['MAXMIND_LICENSE_KEY'],
            dict(db='Country', key=['continent_code']),
        ],
    ],

    'MaxMind.region': [
        [
            MaxMind,
            'https://download.maxmind.com/app/geoip_download?edition_id=GeoLite2-City-CSV&suffix=zip&license_key=' + environ['MAXMIND_LICENSE_KEY'],
            dict(db='City', key=['country_iso_code', 'subdivision_1_iso_code']),
        ],
    ],

}


'''
Upper limit for IPv4 global unicast address space, excluding multicast.
This value also acts as a boundary for considering when integers are to
be treated as IPv4 or IPv6 addresses; IPv4 for integers less than this,
IPv6 for integers greater than or equal to this.
'''
IPv4 = 7 * 1 << 29


'''
Network and mask for 2000::/3 IPv6 global unicast address space.
'''
IPv6n = 1 << 125
IPv6m = 7 * IPv6n


def _i(s):
    '''
    Converts a string to an integer IP address. If no '.' or ':'
    characters are found, assumes that the string represents a number
    and returns the direct integer conversion, otherwise proceeds with
    conversion on the presumption that the existence of '.' characters
    indicates an IPv4 address and ':' characters an IPv6 address.
    '''

    if ':' in s:
        x, y = struct.unpack('!2Q', socket.inet_pton(socket.AF_INET6, s))
        return y | x << 64
    elif '.' in s:
        return struct.unpack('!I', socket.inet_aton(s))[0]
    else:
        return int(s)


def _a(x):
    '''
    IP range aggregator and splitter function.
    First merges adjacent ranges together. Then
    splits those ranges on network boundaries.
    '''

    for k, v in x.items():
        i, v = 1, sorted(map(_r, v))
        while i < len(v):
            b1, e1 = v[i]
            b0, e0 = v[i-1]
            if b1 == e0 + 1:
                v[i] = (b0, e1)
                del v[i-1]
                continue
            i += 1
        x[k] = []
        for r in v:
            x[k].extend(_s(*r))

    return x


def _r(x):
    '''
    Given a network range, as a string containing a '-' character,
    or a network address and netmask, as a string containing a '/'
    character, returns the actual IP range as a two element tuple
    containing the begin and end integers for that network.
    '''

    if '-' in x:
        return tuple(map(_i, x.split('-')))
    elif '/' in x:
        n, m = map(_i, x.split('/'))
        return n, n-1+2**((32 if n < IPv4 else 128)-m)


def _s(b, e):
    '''
    Recursive IP range splitter function.
    '''

    if 'x' not in locals():
        x = []

    if e < b:
        b, e = e, b

    if e < IPv4:
        '''Range is IPv4'''
        s = 32
    else:
        '''Presume range is IPv6 and force beginning to be at least the IPv4 boundary'''
        s, b = 128, max(b, IPv4)

    l = mag(e-b+1)-1
    m = 2**s-2**l
    n = m & e

    if n == m & b:
        _v(b) and x.append((b, s-l))
    else:
        x.extend(_s(b, n-1))
        x.extend(_s(n, e))

    return x


def _v(n):
    '''
    Rudimentary IP address validation function.
    Checks IP address resides in global unicast address space.
    '''

    return n < IPv4 or IPv6n == n & IPv6m


def main():

    ARG = argv[1] if len(argv) > 1 else None

    PROVIDER = PROVIDERS.get(ARG)

    if not PROVIDER:
        print('First argument must be one of the following:\n')
        for s in sorted(PROVIDERS):
            print(' * ' + s)
        exit(1)

    ACLs, RE = {}, re.compile('[^\w-]+')

    for META, URL, FILE in PROVIDER:

        if callable(META):
            ACLs = META(URL, FILE)
            break

        l = URL.lower()
        filename = fetch(URL)

        key = META['key']
        range = META['range']
        begin, end = range

        try:
            if l.endswith('.gz'):
                i = gzip.open(filename)
            elif l.endswith('.zip'):
                i = zipfile.ZipFile(filename).open(FILE)
            df = pandas.read_csv(i, header=None, keep_default_na=False, dtype={x: str for x in key + range})
            df['key'] = df[key].apply(lambda x: ':'.join(filter(None, map(lambda x: RE.sub('.', x), x))), axis=1)
            df['range'] = df[range].apply(lambda x: '-'.join(x), axis=1)
            if ARG == 'DB-IP.region':
                df.key = df.key.str.replace('.Og.', '.og.')
            df = df[['key', 'range']]
            for acl in df.key.unique():
                ACLs.setdefault(acl if len(acl) > 1 else 'ZZ', []).extend(df.loc[acl == df.key].range.to_list())

        except:
            raise

        finally:
            remove(filename)

    with open('GeoIP.acl', 'w') as file:
        for k, v in sorted(_a(ACLs).items()):
            file.write('acl ' + k + ' {\n')
            for n, m in sorted(v):
                file.write('\t{}/{};\n'.format(
                    socket.inet_ntop(socket.AF_INET, struct.pack('!I', n)) if n < IPv4 else
                    socket.inet_ntop(socket.AF_INET6, struct.pack('!2Q', n >> 64, n & (1 << 64) - 1)),
                    m)
                )
            file.write('};\n\n')


if __name__ == '__main__':
    main()

BUG FIX ANNOUNCEMENT

1. The first is a change to the fastest recursive script. The change is nothing major but effectively reduces execution time slightly by splitting IP ranges when generating the GeoIP.acl file rather than splitting IP ranges when creating the CBE (Country,Begin,End) CSV file. The change is purely in relation to where the range splitting takes place, resulting in grep pattern matching against fewer lines, thus marginally reducing the execution time of the script.
2. The second fix has been made to all scripts and was discovered when noticing that the recursive awk function could not correctly split extremely large IP ranges, with an order of magnitude exceeding about 2³¹. For example, giving the script the range 0 to 2147483647 would result in it printing 0.0.0.0/0 rather than 0.0.0.0/1. I located this issue to a rounding anomaly with the printf function within awk and the solution is to simply ensure that all occurrences of the logarithmic division calculation in each script are truncated to a whole number using the int function. This bug has probably not caused people too much grief because the ranges supplied within the MaxMind GeoIP CSV file are nowhere near a magnitude of 2³¹ (the largest IP range listed as of writing is of magnitude 2²⁶, representing the network 28.0.0.0/6 in the United States). Nevertheless, this was a bug and has now been fixed in the scripts published below.

Overview

Linux BASH script(s) to fetch, unzip, reformat and generate the GeoIP.acl include file for BIND

Iterative Version (slowest)

#!/bin/bash

[ -f GeoIPCountryCSV.zip ] || wget -T 5 -t 1 https://geolite.maxmind.com/download/geoip/database/GeoIPCountryCSV.zip

echo -n "Creating initial CBE (Country,Begin,End) CSV file..."
unzip -p GeoIPCountryCSV.zip GeoIPCountryWhois.csv | awk -F \" '{print $10","$6","$8}' > cbe0.csv
echo -ne "DONE\nSplitting CBE CSV file..."

lc0=0; lc1=$(wc -l cbe0.csv | awk '{print $1}')

while [ $lc0 -lt $lc1 ]
do
  lc0=$lc1; echo -ne "\n$lc0\t"
  awk -F , '{m = 2^32-2^int(log($3-$2+1)/log(2)); n = and(m,$3); if (n == and(m,$2)) print; else printf "%s,%u,%u\n%s,%u,%u\n",$1,$2,n-1,$1,n,$3}' cbe0.csv > cbe1.csv
  mv -f cbe1.csv cbe0.csv; lc1=$(wc -l cbe0.csv | awk '{print $1}')
  echo -ne "+$[$lc1-$lc0]\t"; [ $lc0 -lt $lc1 ] && echo -n "OK"
done

echo -ne "DONE\nGenerating BIND GeoIP.acl file..."

(for c in $(awk -F , '{print $1}' cbe0.csv | sort -u)
do
  echo "acl $c {"
  grep "^$c," cbe0.csv | awk -F , '{printf "\t%u.%u.%u.%u/%u;\n",$2/2^24%256,$2/2^16%256,$2/2^8%256,$2%256,32-int(log($3-$2+1)/log(2))}'
  echo -e "};\n"
done) > GeoIP.acl

rm -f cbe0.csv
echo "DONE"

exit 0

Here's this script in action!

$ ./GeoIP.sh
--00:00:00--  https://geolite.maxmind.com/download/geoip/database/GeoIPCountryCSV.zip
           => `GeoIPCountryCSV.zip'
Resolving geolite.maxmind.com... 64.246.48.99
Connecting to geolite.maxmind.com|64.246.48.99|:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 1,556,500 (1.5M) [application/zip]

100%[================================================================================>] 1,556,500    820.41K/s

00:00:02 (818.35 KB/s) - `GeoIPCountryCSV.zip' saved [1556500/1556500]

Creating initial CBE (Country,Begin,End) CSV file...DONE
Splitting CBE CSV file...
106184  +31276  OK
137460  +23038  OK
160498  +11755  OK
172253  +6413   OK
178666  +3544   OK
182210  +1905   OK
184115  +949    OK
185064  +463    OK
185527  +202    OK
185729  +94     OK
185823  +38     OK
185861  +19     OK
185880  +5      OK
185885  +2      OK
185887  +0      DONE
Generating BIND GeoIP.acl file...DONE

Recursive Version (fastest)

#!/bin/bash

[ -f GeoIPCountryCSV.zip ] || wget -T 5 -t 1 https://geolite.maxmind.com/download/geoip/database/GeoIPCountryCSV.zip

echo -n "Creating CBE (Country,Begin,End) CSV file..."
unzip -p GeoIPCountryCSV.zip GeoIPCountryWhois.csv | awk -F \" '{print $10","$6","$8}' > cbe.csv
echo -ne "DONE\nGenerating BIND GeoIP.acl file..."

(for c in $(awk -F , '{print $1}' cbe.csv | sort -u)
do
  echo "acl $c {"
  grep "^$c," cbe.csv | awk -F , 'function s(b,e,l,m,n) {l = int(log(e-b+1)/log(2)); m = 2^32-2^l; n = and(m,e); if (n == and(m,b)) printf "\t%u.%u.%u.%u/%u;\n",b/2^24%256,b/2^16%256,b/2^8%256,b%256,32-l; else {s(b,n-1); s(n,e)}} s($2,$3)'
  echo -e "};\n"
done) > GeoIP.acl

rm -f cbe.csv
echo "DONE"

exit 0

Here's this script in action!

$ ./GeoIP.sh
--00:00:00--  https://geolite.maxmind.com/download/geoip/database/GeoIPCountryCSV.zip
           => `GeoIPCountryCSV.zip'
Resolving geolite.maxmind.com... 64.246.48.99
Connecting to geolite.maxmind.com|64.246.48.99|:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 1,556,500 (1.5M) [application/zip]

100%[================================================================================>] 1,556,500    820.41K/s

00:00:02 (818.35 KB/s) - `GeoIPCountryCSV.zip' saved [1556500/1556500]

Creating CBE (Country,Begin,End) CSV file...DONE
Generating BIND GeoIP.acl file...DONE

acl A1 {
        64.46.32.0/23;
        64.46.35.0/24;
        64.46.40.64/26;
        64.46.42.0/23;
        64.46.47.0/24;
        66.38.243.0/24;
        67.15.183.0/25;
        69.10.130.128/26;
        69.10.139.0/25;
        69.10.140.192/26;

...

acl GB {
        2.6.190.56/29;
        9.20.0.0/17;
        12.129.72.32/29;
        23.0.0.0/9;
        25.0.0.0/8;
        32.58.57.0/29;
        32.58.58.0/28;
        32.58.59.0/29;
        32.60.34.96/27;
        51.0.0.0/8;

...

        217.204.159.96/29;
        217.204.159.104/30;
        217.204.159.112/28;
        217.204.159.128/25;
        217.204.160.0/19;
        217.204.192.0/18;
        217.205.0.0/16;
        217.206.0.0/15;
        217.237.189.240/29;
        217.243.204.144/29;
};

...

        217.194.132.0/24;
        217.194.145.144/29;
        217.194.146.192/26;
        217.194.147.240/28;
        217.194.149.32/28;
        217.194.149.168/29;
        217.194.156.0/26;
        217.194.157.48/28;
        217.194.157.144/29;
        217.194.157.168/29;
};

How do these scripts work?

include "/path/to/GeoIP.acl";

view "north_america" {
  match-clients { US; CA; MX; };
  recursion no;
  zone "example555.com" {
    type master;
    file "pri/example555-north-america.db";
  };
};

view "south_america" {
  match-clients { AR; CL; BR; PY; PE; EC; CO; VE; BO; UY; };
  recursion no;
  zone "example555.com" {
    type master;
    file "pri/example555-south-america.db";
  };
};

view "other" {
  match-clients { any; };
  recursion no;
  zone "example555.com" {
    type master;
    file "pri/example555-other.db";
  };
};

Summary

Recursive Versions (smallest)

#!/bin/bash

[ -f GeoIPCountryCSV.zip ] || wget -T 5 -t 1 https://geolite.maxmind.com/download/geoip/database/GeoIPCountryCSV.zip
unzip GeoIPCountryCSV.zip || exit 1

(for c in $(awk -F \" '{print $10}' GeoIPCountryWhois.csv | sort -u)
do
  echo "$c" >&2
  echo "acl $c {"
  awk -F \" 'function s(b,e,l,m,n) {l = int(log(e-b+1)/log(2)); m = 2^32-2^l; n = and(m,e); if (n == and(m,b)) printf "\t%u.%u.%u.%u/%u;\n",b/2^24%256,b/2^16%256,b/2^8%256,b%256,32-l; else {s(b,n-1); s(n,e)}} c == $10 {s($6,$8)}' c=$c GeoIPCountryWhois.csv
  echo -e "};\n"
done) > GeoIP.acl

rm -f GeoIPCountryWhois.csv

exit 0

#!/bin/bash

[ -f GeoIPCountryCSV.zip ] || wget -T 5 -t 1 https://geolite.maxmind.com/download/geoip/database/GeoIPCountryCSV.zip
unzip GeoIPCountryCSV.zip || exit 1

(for c in $(awk -F \" '{print $10}' GeoIPCountryWhois.csv | sort -u)
do
  echo "$c" >&2
  echo "acl $c {"
  awk -F \" 'function s(b,e,l,m,n) {l = int(log(e-b+1)/log(2)); m = 2^32-2^l; n = and(m,e); if (n == and(m,b)) printf "\t%u.%u.%u.%u/%u;\n",b/2^24%256,b/2^16%256,b/2^8%256,b%256,32-l; else {s(b,n-1); s(n,e)}} '"/,\"$c\",/"' {s($6,$8)}' GeoIPCountryWhois.csv
  echo -e "};\n"
done) > GeoIP.acl

rm -f GeoIPCountryWhois.csv

exit 0

#!/bin/bash

[ -f GeoIPv6.csv.gz ] || wget -T 5 -t 1 https://geolite.maxmind.com/download/geoip/database/GeoIPv6.csv.gz

echo -n "Creating CBE (Country,Begin,End) CSV file..."
gunzip -c GeoIPv6.csv.gz | awk -F \" '{print $10","$6","$8}' > cbe.csv
echo -e "DONE\nGenerating BIND GeoIPv6.acl file..."

(for c in $(awk -F , '{print $1}' cbe.csv | sort -u)
do
  echo "$c" >&2
  echo "acl ${c}v6 {"
  grep "^$c," cbe.csv | ./GeoIPv6.pl | sed 's \(:0\)\+/ ::/ '
  echo -e "};\n"
done) > GeoIPv6.acl

rm -f cbe.csv
echo "DONE"

exit 0

#!/usr/bin/perl

use strict;
use bignum;
use IPC::Open2; open2(*BCOUT,*BCIN,'bc -l');

sub rs {
  my ($b,$e) = @_;
  print BCIN "scale=40; l($e-$b+1)/l(2)\n";
  my ($l) = split('\.',<BCOUT>);
  my $m = 2**128-2**$l;
  my $n = $m & $e;
  if ($n == ($m & $b)) {
    my @x; for (my $p = 112; $p > 0; $p -= 16) {
      print BCIN "scale=0; $b/2^$p\n";
      push(@x,<BCOUT>%65536);
    }
    printf "\t%x:%x:%x:%x:%x:%x:%x:%x/%u;\n",$x[0],$x[1],$x[2],$x[3],$x[4],$x[5],$x[6],$b%65536,128-$l;
  } else {
    rs($b,$n-1); rs($n,$e);
  }
}

while (<STDIN>) {chomp($_); my ($c,$b,$e) = split(',',$_); rs($b,$e)}

$ echo 'l(2^128-1)/l(2)' | bc -l
128.00000000000000000132
$ echo 'scale=20; l(2^128-1)/l(2)' | bc -l
128.00000000000000000132
$ echo 'scale=39; l(2^128-1)/l(2)' | bc -l
128.000000000000000000000000000000000000088
$ echo 'scale=40; l(2^128-1)/l(2)' | bc -l
127.9999999999999999999999999999999999999956

acl ADv6 {
        2001:4df8::/32;
};

acl AEv6 {
        2001:8f8::/32;
        2a00:d30::/32;
        2a00:f28::/32;
};

acl AMv6 {
        2001:1bb0::/32;
        2001:4d00::/32;
        2a00:f38::/32;
        2a00:1290::/32;
        2a00:1500::/32;
        2a02:d18::/32;

...

acl GBv6 {
        2001:630::/32;
        2001:678:4::/47;
        2001:67c:18::/48;
        2001:67c:90::/48;
        2001:67c:b4::/48;
        2001:67c:c0::/48;
        2001:67c:d4::/48;
        2001:6f8::/32;
        2001:710::/32;
        2001:768::/32;

...

        2a02:ce8::/32;
        2a02:da0::/32;
        2a02:df8::/32;
        2a02:e38::/32;
        2a02:e68::/32;
        2a02:eb0::/32;
        2a02:ef8::/32;
        2a02:f70::/32;
        2a02:fb0::/32;
        2a02:fb8::/32;
};

...

        2001:43d8::/32;
        2001:43f8:20::/48;
        2001:43f8:30::/48;
        2001:43f8:40::/48;
        2001:43f8:50::/48;
        2001:43f8:70::/45;
        2001:43f8:90::/48;
        2001:43f8:a0::/48;
        2001:43f8:d0::/48;
};

acl ZWv6 {
        2001:42b0::/32;
};

Faster Python Implementation of the above Perl Script

#!/usr/bin/python

from sys import stdin
from mpmath import mag

def s(b,e):

    l = mag(e-b+1)-1
    m = 2**128-2**l
    n = m & e

    if n == m & b:

        print '\t%x:%x:%x:%x:%x:%x:%x:%x/%u;' % tuple([b/2**p%65536 for p in xrange(112,-1,-16)]+[128-l])

    else:

        s(b,n-1)
        s(n,e)

for r in (map(int,l.split(',')[1:3]) for l in stdin): s(*r)

  grep "^$c," cbe.csv | ./GeoIPv6.pl | sed 's \(:0\)\+/ ::/ '

  grep "^$c," cbe.csv | ./GeoIPv6.py | sed 's \(:0\)\+/ ::/ '

Performance versus Maintainability (pros/cons for/against this ACL method compared to BIND source code patching)

match-clients { A1; A2; AD; AE; AF; AG; AI; AL; AM; AN; ... VI; VN; VU; WF; WS; YE; YT; ZA; ZM; ZW; };

Last updated on 1st January 2020 12:00am UTC by