Android port of Radamsa is a free offensive security tool. getallurls (gau) 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.
Based 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 bug bounty hunters doing reconnaissance will move faster with getallurls than manually querying individual URL sources; it aggregates results from CommonCrawl, URLScan, and Wayback Machine in a single pass. The tool has 4,549 GitHub stars and runs for free, making it a no-friction addition to any recon workflow. Skip this if you need real-time monitoring or filtered results; getallurls surfaces historical URLs without deduplication or relevance ranking, leaving you to sort signal from noise.
An Android port of the Radamsa fuzzing tool compiled with Android NDK to support Android ABIs for security testing on mobile platforms.
Fetches known URLs from various sources for a given domain
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Common questions about comparing Android port of Radamsa vs getallurls (gau) for your offensive security needs.
Android port of Radamsa: An Android port of the Radamsa fuzzing tool compiled with Android NDK to support Android ABIs for security testing on mobile platforms..
getallurls (gau): Fetches known URLs from various sources for a given domain..
Both serve the Offensive Security market but differ in approach, feature depth, and target audience.
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