A BASH script to automate simple tasks related to static malware analysis
Static malware detection using transfer learning techniques on MMCC_2015 dataset.
To perform (1) structural similarities among 2,436 cryptographic Windows ransomware samples per calendar year between 2017 and 2021 and (2) structural dissimilarities against 3,014 benign applications using machine learning classifiers.
Python program to automate simple tasks related to static malware analysis.
Retrieval-Enhanced eXploration of Infected Software - LLM+RAG based static software analyser
Awesome Static Windows Malware Analysis
Awesome Static Linux Malware Analysis
Awesome Static Android Malware Analysis
This is a all-in-one static malware analysis platform
A Static Malware Analysis Automation Framework (SMAAF), based on a Penetration Testing and Ethical Hacking project.
Malware classification project using static analysis, where applications are converted into bytecode, the byte sequences are transformed into grayscale images, and deep learning–based image classification is applied to categorize malware into 31 distinct subclasses for accurate detection without executing the files.
Add a description, image, and links to the static-malware-analysis topic page so that developers can more easily learn about it.
To associate your repository with the static-malware-analysis topic, visit your repo's landing page and select "manage topics."