Using & improving frida-trace

This blog explains practical techniques for using and improving frida-trace to dynamically instrument Android applications at scale, including wildcard-based method hooking, excluding noisy classes, and refining output formatting. It demonstrates modifying frida-trace’s tracer and handler scripts, introducing a reusable betterPrint class to intelligently render complex Java types (e.g., byte[] as ASCII or bytes, vectors, and char arrays), and provides workflow tips for attaching to running processes. The result is faster reconnaissance of obfuscated mobile apps by revealing method arguments and return values in a clear, searchable format.