SyzScope: Revealing High-Risk Security Impacts of Fuzzer-Exposed Bugs in Linux kernel
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Abstract (arXiv)
Fuzzing has become one of the most effective bug finding approach for software. In recent years, 24*7 continuous fuzzing platforms have emerged to test critical pieces of software, e.g., Linux kernel. Though capable of discovering many bugs and providing reproducers (e.g., proof-of-concepts), a major problem is that they neglect a critical function that should have been built-in, i.e., evaluation of a bug's security impact. It is well-known that the lack of understanding of security impact can lead to delayed bug fixes as well as patch propagation. In this paper, we develop SyzScope, a system that can automatically uncover new "high-risk" impacts given a bug with seemingly "low-risk" impacts. From analyzing over a thousand low-risk bugs on syzbot, SyzScope successfully determined that 183 low-risk bugs (more than 15%) in fact contain high-risk impacts, e.g., control flow hijack and arbitrary memory write, some of which still do not have patches available yet.
Key facts. Cited by 4 papers in the map (data through 13 Oct 2026). First posted on arXiv 11 Nov 2021.
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Citing papers per year: 2025: 2; 2026: 2.
4 papers.
- 2026Patch-to-PoC: A Systematic Study of Agentic LLM Systems for Linux Kernel N-Day Reproductioncited by 7
- 2025kAgent: An execution-guided crash resolution agent for the Linux kernelcited by 4
- 2025What Do They Fix? LLM-Aided Categorization of Security Patches for Critical Memory Bugscited by 1
- 2026SyzHarness: Patch-Based Kernel Bug Reproduction with LLM-Synthesized Fuzzing Harnessescited by 0
- 2026SyzHarness: Patch-Based Kernel Bug Reproduction with LLM-Synthesized Fuzzing Harnesses20 Sep 2026
- 2026Patch-to-PoC: A Systematic Study of Agentic LLM Systems for Linux Kernel N-Day Reproduction7 Feb 2026
- 2025What Do They Fix? LLM-Aided Categorization of Security Patches for Critical Memory Bugs26 Sep 2025
- 2025kAgent: An execution-guided crash resolution agent for the Linux kernel29 Apr 2025