# machine-learning
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
2016
project
Leiurus
AI-powered vulnerability scanner that fingerprints pages and prioritizes attack vectors.
+6
#dast#fuzzing#machine-learning#penetration-testing#python#vulnerability-assessment
2020
research
Towards prioritizing vulnerability testing
QRS-C 2020
A machine learning approach to accelerate vulnerability scanning by prioritizing security tests based on web page features.
+7
#automated-testing#cwe#machine-learning#neural-network#test-prioritization#vulnerability#vulnerability-assessment
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