dnstwist VS abwhose

Compare dnstwist vs abwhose and see what are their differences.

dnstwist

A tool to monitor for potential spear phishing domains and send to Slack. (by hazcod)

abwhose

The simplest way to find how to report abusive domains (by bradleyjkemp)
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dnstwist abwhose
2 1
22 56
- -
6.1 0.0
3 months ago about 1 year ago
Go Go
Apache License 2.0 MIT License
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dnstwist

Posts with mentions or reviews of dnstwist. We have used some of these posts to build our list of alternatives and similar projects.

abwhose

Posts with mentions or reviews of abwhose. We have used some of these posts to build our list of alternatives and similar projects.
  • Show HN: Phish.Report – a shortcut to report phishing wherever it's hosted
    1 project | news.ycombinator.com | 16 Jul 2021
    As well as reporting to SafeBrowsing, etc. for each site you also need to look up the domain registrar and hosting provider (via WHOIS) and email them.

    Rather than do this manually every time, I wrote a small CLI to automate the lookups and even open pre-templated emails: https://github.com/bradleyjkemp/abwhose

    I'm now redoing this as a web app so that I can do the entire reporting process without leaving the browser: https://phish.report

    Kinda fun trying to "speedrun" the process down to as few clicks as possible. And I'm pretty pleased with how fast I've gotten the process.

    Now I'm looking to add some more account/user features e.g. a history of sites you've submitted.

What are some alternatives?

When comparing dnstwist and abwhose you can also consider the following projects:

phishflood - Pollute phishing kits with fake credentials

Modlishka - Modlishka. Reverse Proxy.

myLG - Network Diagnostic Tool

crowdsec - CrowdSec - the open-source and participative security solution offering crowdsourced protection against malicious IPs and access to the most advanced real-world CTI.

gophish - Open-Source Phishing Toolkit

Chronos - Chronos - A static race detector for the go language

mimetype - A fast Golang library for media type and file extension detection, based on magic numbers