Skip to main content

Spam related services interface

Project description

https://secure.travis-ci.org/fmarani/spam.png

A library to verify whether an url has been classified as spam

Supports:

  • SpamHaus zen
  • Surbl multi

Planned:

  • PhishTank

For any further information, you can watch the tutorial here: http://www.youtube.com/watch?v=anwy2MPT5RE

Install

From PyPI (stable):

pip install spam-blocklists

From Github (unstable):

pip install git+git://github.com/fmarani/spam.git#egg=spam-blocklists

Use

Spamhaus:

>>> from spam.spamhaus import SpamHausChecker
>>> checker = SpamHausChecker()

# google.com is a good domain
>>> checker.is_spam("http://www.google.com/search?q=food")
False

# this domain does not exist
>>> checker.is_spam("http://buyv1agra.com/")
Traceback (most recent call last):
    ...
DomainInexistentException

# this is a scam
>>> checker.is_spam("http://mihouyuan.com/login.htm")
True

Surbl:

>>> from spam.surbl import SurblChecker
>>> checker = SurblChecker()

# google.com test
>>> checker.is_spam("http://www.google.com/search?q=food")
False

# spamhaus says it is spam, surbl does not
>>> checker.is_spam("http://mihouyuan.com/login.htm")
False

# test endpoint for surbl
>>> checker.is_spam("http://surbl-org-permanent-test-point.com/")
True

Contribute

Clone and install testing dependencies:

pip install -r requirements.txt

Ensure tests pass:

./runtests.sh

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for spam-blocklists, version 0.9.3
Filename, size File type Python version Upload date Hashes
Filename, size spam-blocklists-0.9.3.tar.gz (18.9 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page