emr4h/CyberMachine
Detects cyber threats to the end user with machine learning. This tool can do malware analysis of given exe file, spam analysis of given url and mail.
This tool helps cybersecurity professionals and IT administrators quickly identify potential threats. By inputting an executable file, a suspicious URL, or an email message, you receive an immediate assessment of whether it contains malware or spam. It's designed for anyone responsible for protecting digital assets from cyberattacks.
No commits in the last 6 months.
Use this if you need to rapidly screen files, links, or emails for known cyber threats without deep manual analysis.
Not ideal if you require a comprehensive, in-depth forensic analysis or a full-suite endpoint detection and response (EDR) solution.
Stars
25
Forks
6
Language
Python
License
MIT
Category
Last pushed
May 28, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/emr4h/CyberMachine"
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)