The significant performance improvements of BLens in the cross-project setting can be leveraged to assist reverse engineers in several ways. First, the model's ability to generate meaningful function names from stripped binaries can significantly reduce the cognitive load on reverse engineers, allowing them to navigate unfamiliar codebases more efficiently. By providing contextually relevant names, BLens can help reverse engineers quickly identify key functions and their purposes, facilitating a more effective analysis of the binary.
Moreover, BLens can be integrated into existing reverse engineering tools, such as disassemblers and decompilers, to provide real-time function name predictions as engineers analyze binaries. This integration would enhance the usability of these tools, making them more intuitive and user-friendly. Additionally, the model's capacity for generalization across different projects means that it can be trained on a diverse set of binaries, allowing it to adapt to various coding styles and conventions encountered in unfamiliar projects.
Finally, the insights gained from BLens's predictions can be used to inform the development of automated analysis tools that assist in vulnerability discovery and malware analysis. By providing accurate function names and summaries, reverse engineers can focus their efforts on high-risk areas of the code, improving the overall efficiency and effectiveness of the reverse engineering process.