trongbui1105/Malware-Detection-And-Classification
Detect and classify malicious code from PE files
This project helps cybersecurity researchers analyze executable files (PE files) to detect and classify malware. It takes PE files as input, extracts their static features, and uses machine learning models to identify if they are malicious and what type of malware they might be. Researchers working in cybersecurity, malware analysis, or machine learning for security would use this.
No commits in the last 6 months.
Use this if you are a cybersecurity researcher needing to benchmark or develop new machine learning models for static malware detection and classification using PE files.
Not ideal if you are looking for a ready-to-use antivirus solution or dynamic malware analysis tools.
Stars
9
Forks
—
Language
CSS
License
—
Category
Last pushed
Dec 25, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/trongbui1105/Malware-Detection-And-Classification"
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...
CalebFenton/apkfile
Android app analysis and feature extraction library