The purpose of the anonymize_log.py script is to make access logs of the
Apache web server compliant with
GDPR while keeping them
processable by log analysis software.
A typical user will be a web server administrator in the EU, who wants to generate visitor statistics from access logs and does not want to break the law.
I am not a lawyer, and I have not even read the whole GDPR. I read some excerpts, explanations, and discussions on the web, and I wrote the script according to my best understanding of the topic. I do not provide any warranty on the script or on the information in this document (see also Section 15 of the license).
If you want to make sure that your log-processing procedures are GDPR-compliant, please consult a lawyer.
I wrote the script because I needed it, but I am not planning to further develop it. I have published it on GitHub, because I think it may be useful for more people. I am ready to watch issues and pull requests, and I will likely implement simple bug fixes and accept reasonable pull requests. However, it will probably be best if someone forks the project and continues its development independently.
Presumably, the main limitation of the present script is its support of only one log format, Apache Combined.
GDPR puts restrictions on the handling of personal data. anonymize_log.py
removes personal data from access logs and thus also lifts those restrictions
from handling of the logs.
The script removes two types of personal data:
IP addresses or hostnames of the clients are replaced by pseudonyms in the form hash.TLD, where
- hash is the MD5 hash of the hostname (or of the IP address if no hostname is available) with a cryptographic salt appended,
- TLD is the actual top-level domain (or "ip" if unknown).
The use of a hash function effectively hides real IP addresses but keeps it possible to
- identify requests from the same host,
- identify requests from a specified host (by a known IP address). This may be useful for excluding specific hosts from statistical analysis.
Maintaining real TLDs is vital for statistical analysis—you can estimate how many visitors come from each country.
By "referrer", I mean the URL of the referring page (if any), as stored in the
access log. The query string (the part starting with ?) may occasionally
contain personal data (such as if a user of a badly designed webmail interface
opens a link in an email). anonymize_log.py therefore removes query strings
from referrers, except for search queries at known search engines. (It is
useful to know the search queries that led to your website, and they hopefully
shouldn't contain the visitors' personal data. Unfortunately, Google prevents
queries from being sent within referrers—you have to use the Google Search
Console.)
- Download
anonymize_log.py. You do not need the readme and license files, because the script itself includes a brief readme and a reference to the license. - Install Python 3 on your server if it is not installed yet.
- Read the readme included in the script (it's in the beginning). It contains more detailed technical information.
- Write a control script (see below).
- Add the control script to your
crontab.
anonymize_log.py will not do all the necessary log management—it will only
read a log from stdin and send its anonymized version to stdout. You have to
write a control script that will be specific for your server. Here I give a few
hints.
First of all, the raw, non-anonymized access logs should be stored very securely and only for a short time. As I understand GDPR, you may process personal data without the subjects' consent only to the extent necessary for your legitimate interests, such as resolving technical problems or attacks on your server. Only those persons who would really be solving the technical problems may have access to the raw logs.
Then, for the IP address pseudonymization to be really irreversible, you should
always use a cryptographic salt. The salt should be randomly generated,
different for each website (if there are several on the server), and changed
over time. You can generate a random salt with this command (in bash):
SALT="$(dd if=/dev/urandom bs=8 count=1 status=none | base64)"Finally, used salts should not be stored any longer than necessary.
The rest is up to you, good luck!
Jan Lachnitt