50 lines
1.7 KiB
Markdown
50 lines
1.7 KiB
Markdown
# py-squid-blacklists
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Squid helper handling squidguard blacklists written in python
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* Only supports domains blacklists actually (ie : google.com, www.google.com, mail.google.com, etc.)
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* In config specified blacklists are loaded in RAM or CDB backend using https://github.com/acg/python-cdb (testing flavour is available)
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* Usable as an external acl plugin of squid
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* Written because of poor developpement on squidguard and bad support of blacklists files using squid3
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* Tested on Debian 8 / python 2.7.9 / squid 3.4.8
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## Usage
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Add this configuration to squid.conf :
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```
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external_acl_type urlblacklist_lookup ttl=5 %URI /usr/bin/python /usr/local/blacklists/py-squid-blacklists.py
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...
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acl urlblacklist external urlblacklist_lookup
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...
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http_access deny urlblacklist
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```
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config.py file must be include following statements
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```
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url = "http://dsi.ut-capitole.fr/blacklists/download/blacklists.tar.gz"
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base_dir = "/usr/local/py-squid-blacklists/blacklists/"
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categories = ["adult","malware"]
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db_backend = "ram"
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```
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* url : squidguard-like blacklists files, this variable is not already usable
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* categories : blacklists to use for filtering
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* base_dir : path containing blacklists files
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* db_backend : database flavour (ram|cdb)
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## TODO
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* Auto-fetcher using url if blacklists are not already downloaded or stored on the squid machine
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* Compatibility with python3 only
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* Filters for regex urls
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* Reduce memory footprint (wip with CDB backend alternative)
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* Code optimisation (wip)
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* Object oriented programming (wip)
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* Tests (wip)
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* ...
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## DBs support ideas
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* High performance but heavy RAM usage when using dict()
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* Sqlite3 tested, light memory footprint, but very slow
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* CDB backend testing
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