ThePhish: an automated phishing email analysis tool
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Updated
Aug 1, 2024 - Python
ThePhish: an automated phishing email analysis tool
The openSquat is an open-source tool for detecting domain look-alikes by searching for newly registered domains that might be impersonating legit domains and brands.
TweetFeed collects Indicators of Compromise (IOCs) shared by the infosec community at Twitter. Here you will find malicious URLs, domains, IPs, and SHA256/MD5 hashes.
A suite for hunting suspicious targets, expose domains and phishing discovery
An actively maintained JSON & txt List containing 22'000+ malicious Domains which are used for phishing on Discord.
emailrep.io Public API
Chrome extension for detecting phishing web sites
Exposing phishing kits seen from phishunt.io
Repository of Yara rules dedicated to Phishing Kits Zip files
Collection of phishing and malicious links that focuses on Steam and Discord scams.
Official Implementation of "Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages" USENIX'21
A free and open platform for detecting and preventing email attacks like BEC, malware, and credential phishing. Gain visibility and control, hunt for advanced threats, collaborate with the community, and write detections-as-code.
IOK (Indicator Of Kit) is an open source language and ruleset for detecting phishing threat actor tools and tactics
A database of over 24000 scam links used for Discord, Steam and more.
Phishers use the websites which are visually and semantically similar to those real websites. So, we develop this website to come to know user whether the URL is phishing or not before using it. URL - http://phishing-url-detector-api.herokuapp.com/
This little tool is to calculate a MurmurHash value of a favicon to hunt phishing websites on the Shodan platform.
A basic phishing kit scanner for dedicated and semi-dedicated hosting
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW23)
NLP model and tech for cyber security tasks
Useful resources about phishing email analysis
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