ziansu/prorec
Official Implementation of NeurIPS 2024 paper - Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
This project helps reverse engineers understand compiled binary code by bridging the gap between machine-readable binaries and human-readable source code. It takes binary code as input and produces a more understandable summary or recovers function names, making the low-level code easier to interpret. Reverse engineers and security researchers who analyze compiled software would use this tool.
No commits in the last 6 months.
Use this if you need to analyze compiled binary code and want to automatically generate human-readable summaries or recover function names to better understand its functionality.
Not ideal if you are working exclusively with source code and do not need to perform binary-level reverse engineering.
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Language
Python
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Last pushed
Sep 29, 2024
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