Keerthiraj-Nagaraj/Fishing-The-Phish
ShellHacks 2019 "Akamai Security Challenge" 1st place winning project - Data Science, Natural Language Procesing and Machine Learning techniques for detection of phishing links.
This project helps identify deceptive links that attempt to steal sensitive information by mimicking legitimate websites. It takes suspicious web addresses (URLs) as input and determines whether they are legitimate or phishing attempts. This tool is designed for security analysts, IT administrators, and anyone responsible for protecting users and systems from cyber threats.
No commits in the last 6 months.
Use this if you need a reliable way to automatically flag potentially malicious phishing links and protect your organization from cyberattacks.
Not ideal if you need to analyze network traffic patterns or detect malware residing directly on a system, as this focuses specifically on URL-based phishing detection.
Stars
9
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Dec 07, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Keerthiraj-Nagaraj/Fishing-The-Phish"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
TelecomsXChangeAPi/OpenTextShield
Open Text Shield (OTS) is an open-source AI-driven system for fast real-time classification of...
IBM/nlc-email-phishing
Detect email phishing with Watson Natural Language Classifier
selfcontrol7/Korean_Voice_Phishing_Detection
All codes implemented on Korean voice phishing detection papers
Anthonyive/DSCI-550-Assignment-1
📧 Analysis of Cyber Phishing Emails: Fraudulent Emails and Social Engineering.
sid321axn/Detection_of_Malicious_URLs
In this project, we have detected the malicious URLs using lexical features and boosted machine...