Symbol Preference Aware Generative Models for Recovering Variable Names from Stripped Binary — mentioned by Philpax

Thu, 04 Jan 2024 22:34:55 GMT

Yes, I suspect so; there's been some work on this already (from a cursory arXiV search: [0] [1] [2], but there are more). I'm also curious to see if graph neural networks can be used for structuring, as well - given a decompiled CFG, can the original CFG be predicted? There's lots to be researched here, but as the post alludes to, (public) development is limited. My hope is that there will be more work in this space to enable porting of closed-source applications on older architectures to newer architectures; I have a few ideas on how to go about that, but not enough time to look into it.…

Paper and discussion history. A mention is not an endorsement.

Symbol Preference Aware Generative Models for Recovering Variable Names from Stripped Binary · HackerPapers discussions

Symbol Preference Aware Generative Models for Recovering Variable Names from Stripped Binary — mentioned by Philpax