abuse_whois
A Sigma and RDAP/Whois based abuse contacts finder.
This tool is highly inspired from the following libraries:
How It Works
- Query a given address via RDAP (fallback to Whois is if RDAP fails)
- Check a query result with Sigma rules and find contacts (fallback to regex if there is no match)
Requirements
- Python 3.10+
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
await get_abuse_contacts("1.1.1.1")
await get_abuse_contacts("github.com")
await get_abuse_contacts("https://github.com")
await get_abuse_contacts("foo@example.com")
As a CLI tool
abuse_whois 1.1.1.1
abuse_whois example.com
abuse_whois foo@example.com
abuse_whois http://example.com
As a REST API
$ uvicorn abuse_whois.api.main: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. |
|---|---|---|---|
| QUERY_TIMEOUT | int | 10 | Timeout value for whois lookup (seconds) |
| QUERY_CACHE_SIZE | int | 1024 | Cache size for whois lookup |
| QUERY_CACHE_TTL | int | 3600 | Cache TTL value for whois lookup (seconds) |
| QUERY_MAX_RETRIES | int | 3 | Max retries on timeout error |
| ADDITIONAL_WHOIS_RULE_DIRECTORY | str | Additional contains contain whois rule files | |
| ADDITIONAL_SHARED_HOSTING_RULE_DIRECTORY | str | Additional directory contains shared hosting rule files |
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.
Metadata
Release files for abuse-whois 0.10.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| abuse_whois-0.10.2.tar.gz | 225.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| abuse_whois-0.10.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 260.1 kB
Release files / abuse_whois-0.10.2.tar.gz
| Download URL | abuse_whois-0.10.2.tar.gz |
|---|---|
| Size | 225.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
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Transparency logRelease files / abuse_whois-0.10.2-py3-none-any.whl
| Download URL | abuse_whois-0.10.2-py3-none-any.whl |
|---|---|
| Size | 34.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
68a206dad95dde9bc8d345808641c8e71e9ee49e97607178e408c2ce13e7a72c
|
|
BLAKE2b-256 checksum How to use checksums |
f5ad6bba308700371a72a317ff8e9878b54e9b67374051af748765409849d7c3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jan 25, 2025.
Transparency log