BinaryAlert: Serverless, Real-time & Retroactive Malware Detection.
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Updated
Dec 12, 2023 - Python
BinaryAlert: Serverless, Real-time & Retroactive Malware Detection.
a tool to perform static analysis of known vulnerabilities, trojans, viruses, malware & other malicious threats in docker images/containers and to monitor the docker daemon and running docker containers for detecting anomalous activities
An open source framework for enterprise level automated analysis.
Machine Learning for Computer Security
Pandora is an analysis framework to discover if a file is suspicious and conveniently show the results
AssemblyLine 4: File triage and malware analysis
This repository contains indicators of compromise (IOCs) of our various investigations.
🤖Android malware detection using deep learning, contains android malware samples, papers, tools etc.🐛
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
A customizable, easy-to-navigate tool for researching, pen testing, and defending with the power of Shodan.
Macaron is an extensible supply-chain security analysis framework from Oracle Labs that supports a wide range of build systems and CI/CD services. It can be used to prevent supply chain attacks or check conformance to frameworks, such as SLSA.
A machine learning malware analysis framework for Android apps.
Visually inspect and force decode YARA and regex matches found in both binary and text data. With Colors.
Drebin - NDSS 2014 Re-implementation
YARA rule analyzer to improve rule quality and performance
Simple Malware Scanner written in python
This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adversarial sample crafting.
stoQ Public Plugins
基于深度学习的恶意软件检测研究;MalConv;
A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
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