Prevent Phishing Emails with Cutting-Edge Detection-as-Code
Phish-catcher prevents phishing emails and email attacks using Detection-as-Code. Analyze, identify, and prevent advanced email threats through a blazing-fast phishing detection engine on the client side.
About the Project
Defending email attacks at scale, with privacy in mind.
Phishing detection framework that detects phishing and email attacks on the client side by analyzing emails on the user's client side without leaking emails to external party services.
Runs the complete analysis locally and is equipped with several detection modules. It provides up to 96% detection accuracy on tested datasets.
It's designed with over 100 detection modules that can be customized to different businesses and use cases.
Defending email attacks at scale, with privacy in mind.
Phishing detection framework that detects phishing and email attacks on the client side by analyzing emails on the user's client side without leaking emails to external party services.
Runs the complete analysis locally and is equipped with several detection modules. It provides up to 96% detection accuracy on tested datasets.
It's designed with over 100 detection modules that can be customized to different businesses and use cases.
integration
Phish-Catcher is an agnostic library that can be integrated into:
Browser Extensions
NodeJS Backend
Mobile Apps
Email Clients
Ready to Dive into Technical Details?
detection-as-code for advanced email threats
Developed by the team that built FullHunt.io
capabilities
End-to-end encryption support
Phish-catcher fully runs on the client-side, making it possible to analyze end-to-end encrypted emails.
Modular Architecture
Phish-Catcher’s architecture is fully modular, offering over 100 detection modules that you can tailor to your precise technical needs.
Data-Driven Detection
Trained with thousands of real-world phishing emails, Phish-Catcher archives up to 96% detection accuracy based on research.
Detection as code
phish-catcher is trained with thousands of active phishing emails.
Accuracy
It’s tested and provides up to 96% detection accuracy on real-world phishing email datasets.
Advanced phishing rules
unlike traditional phishing detection solutions, phish-catcher detects advanced attacks, including phishing with PunyCode, Homograph IDN domains, Mailsploit, and phishing evasion techniques.
Speed
The entire execution of the phish-catcher completes in less than 50 milliseconds (0.005 seconds).
modules
- Better converage analysis
- Phishing emails through impersonation.
- Potential BEC Attack.
- CVE-1234
- Better converage analysis
- Better converage analysis
- Phishing emails through impersonation.
- Potential BEC Attack.
- CVE-1234
- Better converage analysis
demo
