cmikke97/Automatic-Malware-Signature-Generation
Automatic Malware Signature Generation Tool
This tool helps cybersecurity analysts automatically generate robust signatures for new and evolving Windows malware. It takes a collection of Windows executable files, both malicious and benign, and outputs a model that can identify unseen malware, categorize it into families, and provide descriptive tags. Malware analysts benefit from this by speeding up the classification of new threats and understanding their characteristics.
No commits in the last 6 months.
Use this if you need an automated way to generate malware detection signatures for Windows Portable Executables (PE files) and want to categorize new malware into known families with high accuracy.
Not ideal if you need to analyze non-Windows executables or rely on dynamic analysis for behavioral characteristics, as this tool focuses on static analysis of PE file headers.
Stars
16
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 13, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/cmikke97/Automatic-Malware-Signature-Generation"
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)