Data Theorem Mobile Secure vs SEBASTiAn

Data Theorem Mobile Secure is a cloud application security platform for iOS and Android apps. It scans code and binaries, performs static, dynamic, and behavioral analysis on real devices for every release, and helps block runtime attacks. The Analyzer Engine is described as completing these analyses in minutes. The service can assess apps from the Apple App Store, Google Play, staging builds, and third-party stores. It reviews third-party SDK and open-source risks alongside first-party code, including reachability and licensing context. Auto-triaged findings can go to Slack, Microsoft Teams, or email, and developers receive secure code samples and remediation summaries. CI/CD plugins and REST APIs connect release pipelines; named integrations include Jira, GitHub, Jenkins, and VS Code. Supported frameworks include React Native, Flutter, Xamarin, Cordova, and Unity. Reports cover PCI DSS, HIPAA, GDPR, FedRAMP, SOC 2, and ISO 27001. Pricing is available on request.

SEBASTiAn is a self-hosted tool for static security assessment of Android APK and iOS IPA applications. It runs on Linux, macOS, and Windows, and can generate a unified JSON report with vulnerabilities, remediation suggestions, further reading, and the location of vulnerable code or configuration. Android checks include insecure networking, cryptography, permissions, exported components, and WebView configuration. iOS checks cover binary encryption and signatures, insecure APIs and TLS settings, weak cryptography, and memory-protection flags. The project describes the tool as modular and extensible, and offers running it from source or using its official Docker image. The command-line option --generate-report saves identified vulnerabilities as JSON, with reports available in English or Italian. The default analysis timeout is 1,200 seconds, and users can change it. Installation guidance requires Python 3 and CMake; Python 3.12 or later may require manually installing LIEF. The AGPL-3.0 open-source plan is free for open-source projects. Commercial or closed-source use requires a commercial license, with pricing not listed.