Find where to report a domain for abuse
Project description
abuse_whois
Yet another way to find where to report an abuse.
This tool is highly inspired from the following libraries:
Requirements
- Python 3.7+
- whois
Installation
pip install abuse_whois
# or if you want to use built-in REST API
pip install abuse_whois[api]
Usage
As a library
from abuse_whois import get_abuse_contacts
get_abuse_contacts("1.1.1.1")
get_abuse_contacts("github.com")
get_abuse_contacts("https://github.com")
get_abuse_contacts("foo@example.com")
As a CLI tool
$ abuse_whois 1.1.1.1 | jq .
As a REST API
$ uvicorn abuse_whois.api.app:app
INFO: Started server process [2283]
INFO: Waiting for application startup.
INFO: Application startup complete.
INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
$ http localhost:8000/api/whois/ address=https://github.com
With Docker
git clone https://github.com/ninoseki/abuse_whois
cd abuse_whois
docker build . -t abuse-whois
docker run -i -d -p 8000:8000 abuse-whois
Settings
All settings can be done via environment variables or .env
file.
Name | Type | Default | Desc. |
---|---|---|---|
WHOIS_LOOKUP_TIMEOUT | int | 10 | Timeout value for whois lookup (seconds) |
WHOIS_LOOKUP_CACHE_SIZE | int | 1024 | Cache size for whois lookup |
WHOIS_LOOKUP_CACHE_TTL | int | 3600 | Cache TTL value for whois lookup (seconds) |
IP_ADDRESS_LOOKUP_TIMEOUT | int | 10 | Timeout value for IP address lookup (seconds) |
IP_ADDRESS_LOOKUP_CACHE_SIZE | int | 1024 | Cache size for IP address lookup |
IP_ADDRESS_LOOKUP_CACHE_TTL | int | 3600 | Cache TTL value for IP address lookup (seconds) |
Contributions
abuse_whois
works based on a combination of static rules and a parsing result of whois response.
Please submit a PR (or submit a feature request) if you find something missing.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
abuse_whois-0.4.0.tar.gz
(16.2 kB
view hashes)
Built Distribution
Close
Hashes for abuse_whois-0.4.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 21ad83ad77c81214fdced1017cf5962b395c6115901502ed70d0bc8d5eb65c9b |
|
MD5 | 4af1867b5a005e921b61d6ca14c67dd8 |
|
BLAKE2b-256 | e48ec5d2ff2f4ac066d152445a227cb5047f5b6cc6d5d97f3e21bf31a4999ede |