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P2 DejaVuzz: Disclosing Transient Execution Bugs with Dynamic Swappable Memory and Differential Information Flow Tracking Assisted Processor Fuzzing

DejaVuzz:结合动态可交换内存与差分信息流追踪的处理器模糊测试以揭示瞬态执行漏洞
ASPLOS Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 32025匹配度 1/10 · 该论文研究处理器瞬态执行漏洞的硬件模糊测试与动态信息流追踪,属于硬件安全/体系结构测试方向,与用户关注的程序语言、静态分析、形式化验证、LLM/Agent 以及浮点/贝叶斯程序分析均无直接关联。引用 7 inbox
Jinyan Xu, Yangye Zhou, Xingzhi Zhang, Yinshuai Li, Qinhan Tan, Yinqian Zhang, Yajin Zhou, Rui Chang, Wenbo Shen
crossref: 2026-09-12dblp: 2026-09-12arxiv: 2026-09-12

AI 速览

一句话:提出 DejaVuzz,通过动态可交换内存与差分信息流追踪提升处理器瞬态执行漏洞模糊测试的效果与效率。

瞬态执行漏洞严重威胁现代处理器,硬件模糊测试虽在乱序处理器设计中展现出发现此类漏洞的潜力,却因微架构可控性与可观测性不足而效率低下。本文提出面向流片前阶段的处理器瞬态执行漏洞模糊测试器 DejaVuzz,其核心是两个创新操作原语:动态可交换内存与差分信息流追踪。动态可交换内存可在同一地址空间内隔离不同指令流,从而为任意瞬态窗口生成定向训练并消除无效训练,高效触发多样瞬态窗口;差分信息流追踪则观测敏感数据在微架构中的传播,基于污点设计污点覆盖矩阵引导变异,并利用污点活跃性注解识别可利用泄漏。评估表明,DejaVuzz 优于当前最优模糊测试器 SpecDoctor,以更低训练开销触发更全面的瞬态窗口,覆盖率提升 4.7 倍,并以可接受开销缓解控制流过度污点问题,在 BOOM 与香山处理器上发现 5 个此前未知的瞬态执行漏洞(获 6 个 CVE)。

问题
现有硬件模糊测试技术受限于微架构可控性与可观测性不足,难以有效且高效地检测大规模乱序处理器设计中的瞬态执行漏洞。
方法
DejaVuzz 引入动态可交换内存,在同一地址空间内隔离不同指令流,为任意瞬态窗口生成定向训练并剔除无效训练;同时采用差分信息流追踪观测敏感数据传播,以污点覆盖矩阵引导变异,并用污点活跃性注解识别可利用泄漏。
评估
在 BOOM 与香山处理器设计上评估,与当前最优模糊测试器 SpecDoctor 对比,触发更全面的瞬态窗口且训练开销更低,覆盖率提升 4.7 倍,并发现 5 个新漏洞(获 6 个 CVE),同时以可接受开销缓解控制流过度污点。
原文摘要(Abstract)

Transient execution vulnerabilities have emerged as a critical threat to modern processors. Hardware fuzzing testing techniques have recently shown promising results in discovering transient execution bugs in large-scale out-of-order processor designs. However, their poor microarchitectural controllability and observability prevent them from effectively and efficiently detecting transient execution vulnerabilities. This paper proposes DejaVuzz, a novel pre-silicon stage processor transient execution bug fuzzer. DejaVuzz utilizes two innovative operating primitives: dynamic swappable memory and differential information flow tracking, enabling more effective and efficient transient execution vulnerability detection. The dynamic swappable memory enables the isolation of different instruction streams within the same address space. Leveraging this capability, DejaVuzz generates targeted training for arbitrary transient windows and eliminates ineffective training, enabling efficient triggering of diverse transient windows. The differential information flow tracking aids in observing the propagation of sensitive data across the microarchitecture. Based on taints, DejaVuzz designs the taint coverage matrix to guide mutation and uses taint liveness annotations to identify exploitable leakages. Our evaluation shows that DejaVuzz outperforms the state-of-the-art fuzzer SpecDoctor, triggering more comprehensive transient windows with lower training overhead and achieving a 4.7x coverage improvement. And DejaVuzz also mitigates control flow over-tainting with acceptable overhead and identifies 5 previously undiscovered transient execution vulnerabilities (with 6 CVEs assigned) on BOOM and XiangShan.

链接与引用

DOI 原文 · arXiv · PDF(开放获取) · DBLP

BibTeX
@inproceedings{XuZZLTZZCS25,
  title = {DejaVuzz: Disclosing Transient Execution Bugs with Dynamic Swappable Memory and Differential Information Flow Tracking Assisted Processor Fuzzing},
  author = {Jinyan Xu and Yangye Zhou and Xingzhi Zhang and Yinshuai Li and Qinhan Tan and Yinqian Zhang and Yajin Zhou and Rui Chang and Wenbo Shen},
  booktitle = {ASPLOS},
  year = {2025},
  doi = {10.1145/3676642.3736115}
}