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Saved February 14, 2026
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The article details the author's experience using AI, specifically Claude Opus 4.5, to reverse engineer and intercept network traffic from the Cronometer app, built with Flutter. It covers challenges related to SSL pinning and proxy routing, and how AI-assisted debugging streamlined the process.
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The article dives into the challenges of proxying traffic from the Cronometer app, which is built on the Flutter framework, using Frida and Claude Opus 4.5. The author's initial attempts with a rooted Android emulator and mitmproxy were unsuccessful due to Flutter's unique architecture. Unlike typical Android apps, Flutter doesn't rely on the Android TrustManager and has its own SSL/TLS implementation via BoringSSL. Additionally, Flutter's Dart runtime ignores system proxy settings, making traffic interception tricky. The app's certificate pinning is embedded in `libflutter.so`, complicating traditional interception methods.
After moving to a rooted Pixel 6, the author successfully detected `libflutter.so` using Frida, allowing for further manipulation. A critical step was using NVISOβs `disable-flutter-tls.js` script, which bypassed SSL pinning by patching the method responsible for SSL verification. With this hurdle cleared, the next challenge was to force the app's traffic through mitmproxy without modifying the original APK. The article highlights how AI assistance from Claude streamlined the process, particularly in adapting the existing bypass script to include socket connection monitoring, leading to successful traffic interception.
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