apkx

apkx - Android APK Decompilation for the Lazy A Python wrapper to popular free dex converters and Java decompilers. Extracts Java source code directly from the APK. Useful for experimenting with different converters/decompilers without having to worry about classpath settings and command line arg...

pmd

PMD - source code analyzer PMD is an extensible multilanguage static code analyzer. It finds common programming flaws like unused variables, empty catch blocks, unnecessary object creation, and so forth. It's mainly concerned with Java and Apex , but supports 16 other languages. It comes with 400...

APKDeepLens

APKDeepLens Android security insights in full spectrum. Features • Detection • Installation • Usage • Reports Featured atBlack Hat MEA 2023 and Black Hat ASIA 2024 What is APKDeepLens? APKDeepLens is a Python-based static analysis tool for Android APK files. It decompiles APKs using JADX and runs...

androwarn

Androwarn Yet another static code analyzer for malicious Android applications Description Androwarn is a tool whose main aim is to detect and warn the user about potential malicious behaviours developped by an Android application. The detection is performed with the static analysis of the...

vuln-bank-mobile

💳 Aplicación Móvil de Vulnerable Bank Vulnerable Bank es una aplicación móvil intencionalmente insegura construida para ingenieros de seguridad, testers de penetración y estudiantes de seguridad de aplicaciones móviles para practicar y demostrar la explotación de prácticas de codificación insegur...

[CVE-2014-0647] Insecure Data Storage of User Data Elements in Starbucks v2.6.1 iOS mobile application

Title: CVE-2014-0647 Insecure Data Storage of User Data Elements in Starbucks v2.6.1 iOS mobile application Published: January 13, 2014 Reported to Vendor: December 2013 no direct response CVE Reference: CVE-2014-0647 Credit: This issue was discovered by Daniel E. Wood...

Starbucks 2.6.1 Information Disclosure

Title: CVE-2014-0647 Insecure Data Storage of User Data Elements in Starbucks v2.6.1 iOS mobile application Published: January 13, 2014 Reported to Vendor: December 2013 no direct response CVE Reference: CVE-2014-0647 Credit: This issue was discovered by Daniel E. Wood...