Binary level toolchain provenance identification with graph neural networks

We consider the problem of recovering the compiling chain used to generate a given stripped binary code. We present a Graph Neural Network framework at the binary level to solve this problem, with the idea to take into account the shallow semantics provided by the binary code’s structured control flow graph (CFG). We introduce a Graph Neural Network, called Site Neural Network (SNN), dedicated to ...