Siddhi259/ThreatSense
🛡 ThreatSense — Detects social engineering cyber attacks by analyzing emotional manipulation patterns (fear, urgency, authority, greed) in messages. Rule-based scoring + ML ensemble (93.3% accuracy). Built with Python, scikit-learn & Streamlit. Third Year MiniProject — CSE 2025–26.
Stars
1
Forks
—
Language
Python
License
—
Category
Last pushed
Mar 22, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Siddhi259/ThreatSense"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mandiant/stringsifter
A machine learning tool that ranks strings based on their relevance for malware analysis.
wesleyraptor/streamingphish
Python-based utility that uses supervised machine learning to detect phishing domains from the...
deepeshdm/Phishing-Attack-Domain-Detection
Identifying Malicious Phishing URLs through Machine Learning
akamai/luda
Malicious actors often reuse code to deploy their malware, phishing website or CNC server. As a...
faizann24/phishytics-machine-learning-for-phishing
Machine Learning for Phishing Website Detection