Essential tools and best practices for securing software applications throughout their lifecycle. Task: Mobile Security
Explore 13 curated tools and resources
StaCoAn is a cross-platform tool for static code analysis on mobile applications, emphasizing the identification of security vulnerabilities.
App-Ray offers comprehensive security analysis and compliance solutions for mobile applications.
Hackazon is a free, vulnerable test site with an online storefront to train and test IT security professionals on various vulnerabilities like SQL Injection and cross-site scripting.
Automated framework for monitoring and tampering system API calls of native macOS, iOS, and Android apps.
A collection of mobile security resources with tools, white papers, ebooks, and webinars.
APKiD is a tool that identifies compilers, packers, obfuscators, and other weird stuff in APK files.
An open-source tool for detecting and analyzing Android apps' vulnerabilities and security issues.
A tool for dynamic analysis of mobile applications in a controlled environment.
A web-based tool for instrumenting and analyzing Android applications using Flask, Jinja, and Redis.
Argus-SAF is a static analysis framework for security vetting Android applications.
ConDroid performs concolic execution of Android apps to observe 'interesting' behavior in dynamic analysis.
Integrates static APK analysis with Yara and requires re-compilation of Yara with the androguard module.
Enhance your Android experience with the AMAaaS Agent APK for better performance and improved user experience.
Fabric Platform is a cybersecurity reporting solution that automates and standardizes report generation, offering a private-cloud platform, open-source tools, and community-supported templates.
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Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.
Adversa AI is a cybersecurity company that provides solutions for securing and hardening machine learning, artificial intelligence, and large language models against adversarial attacks, privacy issues, and safety incidents across various industries.