tegridydev/open-malsec
Open-MalSec is an open-source dataset curated for cybersecurity research and application
This project provides a curated dataset of cybersecurity information to help you train AI models for threat detection and analysis. It brings together real-world and synthetic examples of phishing, malware, exploits, and vulnerabilities. Cybersecurity analysts, incident responders, and security researchers can use this data to build tools that identify threats, classify attacks, and automate forensic analysis.
No commits in the last 6 months.
Use this if you need high-quality, labeled cybersecurity data to train machine learning models for tasks like phishing detection, malware analysis, or vulnerability assessment.
Not ideal if you plan to deploy models trained solely on this dataset into critical production systems without extensive additional validation and expert review.
Stars
8
Forks
—
Language
—
License
MIT
Category
Last pushed
Mar 20, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/tegridydev/open-malsec"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
rednaga/APKiD
Android Application Identifier for Packers, Protectors, Obfuscators and Oddities - PEiD for Android
0xfke/Malware-Detection-and-Analysis-using-Machine-Learning
Malware🦠Detection and Analysis using Machine Learning (MDAML) is designed to provide users with...
rieck/malheur
A Tool for Automatic Analysis of Malware Behavior
AFAgarap/malware-classification
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support...
Kiinitix/Malware-Detection-using-Machine-learning
Anomaly based Malware Detection using Machine Learning (PE and URL)