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Echo system improves binary decompilation accuracy using trusted back-translation

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Echo, a novel system for matching decompilation that uses trusted back-translation to improve the reliability of recovered source code from binaries. Echo leverages compilation as a feedback mechanism to guide an iterative search process, generating candidate programs and compilation configurations. The system then recompiles these candidates, measures assembly-level similarity, and refines mismatches through rule-based rewriting and neural methods. In evaluations, Echo significantly outperformed existing baselines, achieving 2.43x more exact matches on average and demonstrating superior performance against models like GPT-5.6 and Codex when analyzing malware binaries. AI

IMPACT Enhances the reliability and accuracy of source code recovery from binaries, potentially improving software security analysis and reverse engineering.

RANK_REASON The cluster contains a research paper detailing a new system for code decompilation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Echo system improves binary decompilation accuracy using trusted back-translation

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The cluster contains a research paper detailing a new system for code decompilation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jun Bi, Xiangxin Fang, Aarsh Chaube, Jos\'e Wesley De Souza Magalh\~aes, Rodrigo C. O. Rocha, Michael O'Boyle ·

    Echo: Learning-based Matching Decompilation using Trusted Back Translation

    arXiv:2609.18706v1 Announce Type: cross Abstract: Neural decompilers can recover readable and recompilable source code from binaries, but their predictions remain difficult to trust. Matching decompilation addresses this problem by searching for source code whose recompiled assem…

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