anonip - a tool to anonymize IPv4 and IPv6 addresses in existing or via pipe created logfiles.

anonip was written by the Swiss Privacy Foundation, which is now part of the Digitale Gesellschaft e.V.

       usage: anonip [-h] [-4 INTEGER] [-6 INTEGER] [-i INTEGER] [-o FILE]

              [--input  FILE]  [-c  INTEGER [INTEGER ...]] [-l STRING] [--regex STRING [STRING ...]] [-r STRING]
              [-p] [-d] [-v]

       Anonip is a tool to anonymize IP-addresses in log files.

   options:-h, --help
              show this help message and exit

       -4, --ipv4mask INTEGER
              truncate the last n bits (default: 12)

       -6, --ipv6mask INTEGER
              truncate the last n bits (default: 84)

       -i, --increment INTEGER
              increment the IP address by n (default: 0)

       -o, --output FILE
              file to write to

       --input FILE
              File or FIFO to read from (default: stdin)

       -c, --column INTEGER [INTEGER ...]
              assume IP address is in column n (1-based indexed; default: 1)

       -l, --delimiter STRING
              log delimiter (default: " ")

       --regex STRING [STRING ...]
              regex for detecting IP addresses (use optionally instead of -c)

       -r, --replace STRING
              replacement string in case address parsing fails (Example: 0.0.0.0)

       -p, --skip-private
              do not mask addresses in private ranges. See IANA Special-Purpose Address Registry.

       -d, --debug
              print debug messages

       -v, --version
              show program's version number and exit

       Example-usage    in    apache-config:     CustomLog     "|     /usr/bin/anonip     [OPTIONS]     --output
       ${APACHE_LOG_DIR}/access.log" combined

       anonip - a tool to anonymize IPv4 and IPv6 addresses in existing or via pipe created logfiles.

       Full   documentation   for   the   anonip   tool   wit   several  additional  examples  is  available  in
       /usr/shar/doc/anonip/README.md.gz

anonip 1.1.0                                      January 2025                                         ANONIP(1)