#binarydiffing — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #binarydiffing, aggregated by home.social.
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This paper looks promising: "SIGMADIFF: Semantics-Aware Deep Graph Matching for Pseudocode Diffing".
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=9671&context=sis_research
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Here are the slides of my "Simple Machine Learning Techniques for Binary Diffing (with Diaphora)" talk given at the @44CON conference last week:
https://github.com/joxeankoret/diaphora-ml/blob/main/docs/diaphora-ml-techniques-44con-final.pdf
#44con #Diaphora #MachineLearning #ReverseEngineering #BinaryDiffing
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One question regarding #bindiffing: Have you ever used a tool called #DeepBinDiff? I am not talking about "BinDiff" but rather about "DeepBinDiff".
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@Mizu If you want more #datasets for #binary #diffing, take a look to this paper:
https://arxiv.org/abs/2011.10749
#BinaryDiffing #BinDiffing #BinaryCodeSimilarityAnlysis #BCSA
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Dear everyone in the academia using "Machine Learning" for Binary Code Similarity Analysis (ie, bindiffing): AI is bad for anything that requires exact results. It will generate a huge amount of false positives mixed with a varying degree of similar results and is pretty hard to understand its output.
#bindiffing #BinaryDiffing #ProgramDiffing #MachineLearning #BCSA #ArtificialIntelligence
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@joxean I think a fine-grained callgraph including call site information would break this tie.
Match the call sites in the two binaries, using instruction-level comparisons. You can then differentiate between the two call edges, based on which call site they are from.