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Zero-Knowledge VMs: Security and Usability in Practice

零知识虚拟机:实践中的安全性与可用性
ASE Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering2026引用 0 inbox
Jinan Jiang, Jinzhao Chu, Pengyu Xue, Xinghao Peng, Haoran Qin, Xiapu Luo
crossref: 2026-10-09

AI 速览

一句话:首个对生产级零知识虚拟机安全漏洞与可用性问题的系统性实证研究,揭示漏洞类别、高价值攻击面与用户痛点。

零知识虚拟机(zkVM)是区块链 Layer 2 扩容的关键基础设施,可在执行任意程序的同时生成简洁的正确性证明。尽管投资已达数亿美元,快速演进的 zkVM 生态仍缺乏对其安全与可用性挑战的全面实证分析。本文开展首个系统性研究,从三个视角分析生产级 zkVM:专业审计中的 314 个安全漏洞、11,854 次提交反映的开发者实践,以及 1,150 个用户 issue 体现的使用体验。研究识别出普遍、严重且非传统的漏洞类别及其根因,揭示跨 zkVM 反复出现的高价值攻击面,并指出主要可用性问题;与既有研究对比后归纳出四个研究空白,为 zkVM 测试与分析工具的发展指明方向。

问题
快速演进的 zkVM 生态虽有巨额投入,却缺乏对其安全漏洞与可用性挑战的系统性实证认识。
方法
从专业审计漏洞(314 个)、开发者提交实践(11,854 次 commit)和用户 issue(1,150 个)三个视角,对生产级 zkVM 进行大规模实证分析并归纳类别与根因。
评估
通过跨来源数据统计与对比既有研究,识别普遍且非传统的漏洞类别、跨 zkVM 复现的高价值攻击面及主要可用性问题,并提炼出四个研究空白。
原文摘要(Abstract)

Zero-knowledge Virtual Machines (zkVMs) are emerging critical infrastructure for blockchain Layer 2 scaling solutions, enabling execution of arbitrary programs while generating succinct proofs of correct computation. Despite hundreds of millions of investment, the rapidly evolving zkVM ecosystem lacks comprehensive empirical analysis of its security and usability challenges. We present the first systematic study of zkVM vulnerability and usability issues, analyzing production zkVMs through three perspectives covering 314 security vulnerabilities (professional audits), 11,854 commits (developer practices), and 1,150 user issues (user experiences). We identify prevalent, severe, and non-traditional vulnerability categories and their root causes, reveal high-value attack surfaces that consistently emerge across zkVMs, and identify major usability issues that users struggle with. Comparing our findings against existing research reveals four gaps representing research and tool development opportunities for the testing and analysis of zkVMs.

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BibTeX
@inproceedings{paperbot12256,
  title = {Zero-Knowledge VMs: Security and Usability in Practice},
  author = {Jinan Jiang and Jinzhao Chu and Pengyu Xue and Xinghao Peng and Haoran Qin and Xiapu Luo},
  booktitle = {ASE},
  year = {2026},
  doi = {10.1145/3832783.3837500}
}