Crash deduplication in stripped binaries with address space layout randomization (ASLR) is a significant challenge for embedded systems engineers. This article presents a three-phase algorithm that uses a 'Crash Flag' to group similar crashes, enabling efficient triage. The approach is demonstrated on a global video application running on an embedded Linux smart TV platform, where crash data is exported weekly as Excel files. The algorithm's phases include preprocessing, feature extraction, and clustering, designed to handle the obfuscation caused by stripping and ASLR. This method reduces manual effort and improves accuracy in identifying root causes. For teams dealing with production crash dumps, this offers a practical, scalable solution. The article's technical depth and real-world context make it a valuable resource for reliability engineering.
A novel three-phase algorithm for crash deduplication in stripped, ASLR-enabled binaries, with real-world application on embedded Linux TV platforms.