Joint Advanced Application Defect Assessment for Android Application (JAADAS) Logo

Joint Advanced Application Defect Assessment for Android Application (JAADAS)

0
Free
Visit Website

Joint Advanced Defect Assessment framework for android applications (JAADAS, original name JADE renamed to avoid potential trademark issue), written in 2014. JAADAS is a tool written in Java and Scala with the power of Soot to provide both interprocedure and intraprocedure static analysis for android applications. Its features include API misuse analysis, local-denial-of-service (intent crash) analysis, inter-procedure style taint flow analysis (from intent to sensitive API, i.e. getting a parcelable from intent, and use it to start activity). JAADAS can also combines multidex into one and analysis them altogether. Most of JAADAS's detection capabilities can be defined in groovy config file and text file (soot's source and sink file). USAGE JAADAS is packed into a single jar archive and I provide a default vulnerability rules file. There're two major mode for JAADAS. FullAnalysis FullAnalysis unleash the full power of JAADAS and Soot, including inter-procedure whole-application analysis and inter-procedure dataflow analysis. But it may also consume much time and may not finish on machines with small memory

FEATURES

ALTERNATIVES

A free online tool to scan for DOM-based XSS vulnerabilities in HTML, JavaScript, and CSS files.

A Burp Suite content discovery plugin that adds smart functionality to the Buster plugin.

An automated code security tool that analyzes repositories, identifies vulnerabilities, and generates pull requests with fixes while integrating with existing development workflows.

A static code analysis tool for parsing common data formats to detect hardcoded credentials and dangerous functions.

A web-based tool for instrumenting and analyzing Android applications using Flask, Jinja, and Redis.

YLS Language Server for YARA Language with comprehensive features and Python 3.8 support.

An integrated application security platform that combines software composition analysis, container scanning, and runtime security monitoring to identify and prioritize vulnerabilities based on actual usage and risk.

ffufai is an AI-enhanced wrapper for ffuf that automatically suggests file extensions for web fuzzing based on the target URL and headers.

PINNED