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2024 · Preprint

FoC: Figure out the Cryptographic Functions in Stripped Binaries with LLMs

FoC uses FoC-BinLLM to summarize cryptographic functions in stripped binaries and FoC-Sim to retrieve similar implementations. It evaluates both models and applications to virus analysis and 1-day vulnerability detection.

Scope and limitations

Evaluation uses a constructed cryptographic binary dataset and automatically generated semantic labels. It reports a 14.61% higher ROUGE-L score than ChatGPT for FoC-BinLLM and 52% higher Recall@1 than previous best methods for FoC-Sim.

Why it fits this collection

It addresses reverse engineering of cryptographic functions in stripped binaries through semantic analysis and similarity retrieval.

Publication and review details

Venue
arXiv
Status
Preprint
Publication / posting date
March 27, 2024
Date source
First arXiv submission date.
First arXiv submission
March 27, 2024
arXiv
2403.18403
Reviewed arXiv version
v3

The date and venue come from the arXiv record.

Sources reviewed

Reviewed against the paper and its primary sources. Cite the original authors using the linked paper or BibTeX.

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Primary sources

  1. https://arxiv.org/abs/2403.18403
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