RSFuzzer: Discovering Deep SMI Handler Vulnerabilities in UEFI Firmware with Hybrid Fuzzing
Author:
Affiliation:
1. Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China
2. Nanyang Technological University
3. Chinese Academy of Sciences,Key Laboratory of Network Assessment Technology
4. UNSW,Sydney
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10179215/10179280/10179421.pdf?arnumber=10179421
Reference49 articles.
1. Razzer: Finding Kernel Race Bugs through Fuzzing
2. Symbolic execution with SymCC: Don’t interpret, compile!;poeplau,0
3. Firm-afl: High-throughput greybox fuzzing of iot firmware via augmented process emulation;zheng;Proceedings of the 28th USENIX Conference on Security Symposium,2019
4. Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference
5. TASE: Reducing Latency of Symbolic Execution with Transactional Memory
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Poster: Combining Fuzzing with Concolic Execution for IoT Firmware Testing;Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security;2023-11-15
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