avdhoot0303/Malware-detection-of-PE-files
This project is Malware detection API using ML and CNN techniques
This project helps cybersecurity analysts quickly identify malicious executable files and categorize them into specific malware families. You input a Portable Executable (PE) file, and the system tells you if it's malware and, if so, which of 25 known families it belongs to. This is ideal for security researchers, incident responders, or anyone managing system security.
No commits in the last 6 months.
Use this if you need an initial, automated assessment of a PE file's threat level and specific malware classification to speed up your analysis.
Not ideal if you require real-time, high-volume endpoint protection or if your primary focus is on detecting zero-day threats not covered by known malware families.
Stars
25
Forks
6
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Apr 29, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/avdhoot0303/Malware-detection-of-PE-files"
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)