Android port of Radamsa vs Linkedin2username: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
Android port of Radamsa is a free offensive security tool. Linkedin2username is a free offensive security tool. Compare features, ratings, integrations, and community reviews side by side to find the best offensive security fit for your security stack.
CST VerdictBased on our analysis of available product data, here is our conclusion:
Mobile security teams testing native Android libraries and system components need Android port of Radamsa because it's one of the few fuzzers that generates valid mutation sequences across ARM and x86 ABIs without requiring app recompilation. The tool's 68 GitHub stars and zero-dependency native compilation via Android NDK make it fast to integrate into CI/CD pipelines for pre-release fuzzing of C/C++ code. Skip this if you're fuzzing Kotlin/Java app logic or need guided feedback-driven fuzzing; Radamsa is mutation-based and dumb, which is exactly why it finds edge cases that smarter fuzzers miss.
Penetration testers and red teamers running targeted social engineering campaigns will extract immediate value from Linkedin2username because it automates the messiest part of username enumeration, turning a company's public LinkedIn roster into attack-ready lists in seconds. The tool's 1,642 GitHub stars and zero friction deployment (free, no auth required) make it the fastest way to build realistic credential lists for phishing simulations without writing custom scrapers. Skip this if your scope is broader than social engineering testing; it does one thing and ignores everything else upstream like email validation or domain correlation.
