# malware
4 results found across projects, research, and posts.
2019
project
Trapdroid
Trapdroid is a bare-metal Android malware analysis framework that runs unknown apps on real phones, captures their kernel-level behavior, and classifies them as malicious or benign with over 98% accuracy.
+17
#android#arch-linux#cnn#deep-learning#elasticsearch#flask#gradient-boosting#lkm#machine-learning#malware#mongodb#python#random-forest#raspberry-pi#scapy#selinux#svm
2015
project
Korgavus
Hardware-based intrusion detection system (IDS) for email traffic running on Raspberry Pi.
+13
#arch-linux#bootstrap#c#django#ids#libnids#malware#mongodb#postgresql#python#rabbitmq#raspberry-pi#yara
2014
project
Gurz
A desktop application for static analysis of Android malware, built with Python and PySide.
+11
#androguard#android#apk#dex#gui#malware#pyside#python#qt#reverse-engineering#static-analysis
2019
research
Bare-metal android malware behavior analysis framework
ICACT 2019
A scalable dynamic malware analysis framework focused on capturing unified behavior profiles of Android applications by analyzing them on physical devices in real-time.
+8
#android#bare-metal#binder#dynamic-analysis#lkm#machine-learning#malware#pmu