Anonip is a tool to anonymize IP-addresses in log-files.
Digitale Gesellschaft https://www.digitale-gesellschaft.ch
Formerly Swiss Privacy Foundation https://www.privacyfoundation.ch/
Anonip is a tool to anonymize IP addresses in log files.
It masks the last bits of IPv4 and IPv6 addresses. That way most of the relevant information is preserved, while the IP-address does not match a particular individuum anymore.
The log entries get directly piped from Apache to Anonip. The unmasked IP addresses are never written to any file.
With the help of cat, it's also possible to rewrite existing log files.
For usage with nginx see here: https://github.com/DigitaleGesellschaft/Anonip/issues/1
- Masks IP addresses in log files
- Configurable amount of masked bits
- The column containing the IP address can freely be chosen
- Works for both access.log- and error.log files
Officially supported python versions
If you're using python version >=3.3, there are no external dependencies.
For python versions <3.3:
usage: anonip.py [-h] [-4 INTEGER] [-6 INTEGER] [-i INTEGER] [-o FILE] [-c INTEGER [INTEGER ...]] [-l STRING] [-r STRING] [-p] [-d] [-v] Anonip is a tool to anonymize IP-addresses in log files. optional arguments: -h, --help show this help message and exit -4 INTEGER, --ipv4mask INTEGER truncate the last n bits (default: 12) -6 INTEGER, --ipv6mask INTEGER truncate the last n bits (default: 84) -i INTEGER, --increment INTEGER increment the IP address by n (default: 0) -o FILE, --output FILE file to write to -c INTEGER [INTEGER ...], --column INTEGER [INTEGER ...] assume IP address is in column n (1-based indexed; default: 1) -l STRING, --delimiter STRING log delimiter (default: " ") -r STRING, --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
In the Apache configuration (or the one of a vhost) the log output needs to get piped to anonip:
CustomLog "|/path/to/anonip.py [OPTIONS] --output /path/to/log" combined
That's it! All the IP addresses will be masked in the log now.
cat /path/to/orig_log | /path/to/anonip.py [OPTIONS] --output /path/to/log
As a python module
Read from stdin:
from anonip import Anonip anonip = Anonip() for line in anonip.run(): print(line)
Manually feed lines:
from anonip import Anonip data = ['22.214.171.124', '126.96.36.199', '188.8.131.52'] anonip = Anonip() for line in data: print(anonip.process_line(line))
Python 2 or 3?
For compatibility reasons, anonip uses the shebang
#! /usr/bin/env python.
This will default to python2 on all Linux distributions except for Arch Linux.
The performance of anonip can be improved by running it with python3. If
python3 is available on your system, you should preferrably invoke anonip
python3 -m anonip [OPTIONS]
python3 /path/to/anonip.py [OPTIONS]
In most cases IP addresses are personal data as they refer to individuals (or at least their Internet connection). IP addresses - and the data associated with them - may therefore only be lawfully processed in accordance with the principles of the applicable data protection laws.
Storage of log files from web servers, for example, is only permitted within close time limits or with the voluntary consent of the persons concerned (as long as the information about the IP address is linkable to a person).
Anonip tries to avoid exactly that, but without losing the benefit of those log files.
With the masking of the last bits of IP addresses, we're still able to distinguish the log entries up to a certain degree. Compared to the entire removal of the IP-adresses, we're still able to make a rough geolocating as well as a reverse DNS lookup. But the otherwise distinct IP addresses do not match a particular individuum anymore.
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