PUMM: Preventing Use-After-Free Using Execution Unit Partitioning
Carter Yagemann, Simon P. Chung, Brendan Saltaformaggio, Wenke Lee
摘要
Critical software is written in memory unsafe languages that are vulnerable to use-after-free and double free bugs. This has led to proposals to secure memory allocators by strategically deferring memory reallocations long enough to make such bugs unexploitable. Unfortunately, existing solutions suffer from high runtime and memory overheads. Seeking a better solution, we propose to profile programs to identify units of code that correspond to the handling of individual tasks. With the intuition that little to no data should flow between separate tasks at runtime, reallocation of memory freed by the currently executing unit is deferred until after its completion; just long enough to prevent use-after-free exploitation.
To demonstrate the efficacy of our design, we implement a prototype for Linux, PUMM, which consists of an offline profiler and an online enforcer that transparently wraps standard libraries to protect C/C++ binaries. In our evaluation of 40 real-world and 3,000 synthetic vulnerabilities across 26 programs, including complex multi-threaded cases like the Chakra JavaScript engine, PUMM successfully thwarts all real-world exploits, and only allows 4 synthetic exploits, while reducing memory overhead by 52.0% over prior work and incurring an average runtime overhead of 2.04%.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper8
- ShadowBound: Efficient Heap Memory Protection Through Advanced Metadata Management and Customized Compiler OptimizationZheng Yu, Ganxiang Yang, Xinyu XingUSENIX Security 2024 · 被引用 13 次
- BUDAlloc: Defeating Use-After-Free Bugs by Decoupling Virtual Address Management from KernelJunho Ahn, Jaehyeon Lee, Kanghyuk Lee, Wooseok Gwak 等USENIX Security 2024 · 被引用 6 次
- SoK: On the Fragility of Memory Error Exploit MitigationsAdriaan Jacobs, Mahmoud Ammar, Stijn VolckaertUSENIX Security 2026
- VulShield: Protecting Vulnerable Code Before Deploying PatchesYuan Li, Chao Zhang, Jinhao Zhu, Penghui Li 等NDSS 2025
- PATCHAGENT: A Practical Program Repair Agent Mimicking Human ExpertiseZheng Yu, Ziyi Guo, Yuhang Wu, Jiahao Yu 等USENIX Security 2025
它引用的顶会 Paper18
- SOK: (State of) The Art of War: Offensive Techniques in Binary AnalysisYan Shoshitaishvili, Ruoyu Wang, Christopher Salls, Nick Stephens 等S&P 2016 · 被引用 1,085 次
- Data-Oriented Programming: On the Expressiveness of Non-control Data AttacksHong Hu, Shweta Shinde, Sendroiu Adrian, Zheng Leong Chua 等S&P 2016 · 被引用 420 次
- NoDoze: Combatting Threat Alert Fatigue with Automated Provenance TriageWajih Ul Hassan, Shengjian Guo, Ding Li, Zhengzhang Chen 等NDSS 2019 · 被引用 411 次
- Tactical Provenance Analysis for Endpoint Detection and Response SystemsWajih Ul Hassan, Adam Bates, Daniel MarinoS&P 2020 · 被引用 317 次
- ProTracer: Towards Practical Provenance Tracing by Alternating Between Logging and TaintingShiqing Ma, Xiangyu Zhang, Dongyan XuNDSS 2016 · 被引用 253 次
相关 Paper
- MineSweeper: a "clean sweep" for drop-in use-after-free preventionMárton Erdos, Sam Ainsworth, Timothy M. JonesASPLOS 2022 · 被引用 13 次
- MarkUs: Drop-in use-after-free prevention for low-level languagesSam Ainsworth, Timothy M. JonesS&P 2020 · 被引用 63 次
- Preventing Use-After-Free Attacks with Fast Forward AllocationBrian Wickman, Hong Hu, Insu Yun, Daehee Jang 等USENIX Security 2021 · 被引用 53 次
- FreeGuard: A Faster Secure Heap AllocatorSam Silvestro, Hongyu Liu, Corey Crosser, Zhiqiang Lin 等CCS 2017 · 被引用 71 次
- Efficient Use-After-Free Prevention with Opportunistic Page-Level SweepingChanyoung Park, Hyungon MoonNDSS 2024
