Large Language Model guided Protocol Fuzzing Proceedings 2024 Network and Distributed System Security Symposium https://www.ndss-symposium.org/wp-content/uploads/2024-556-paper.pdf 由于我并不了解这方面,只进行一个简单的描述 整个
Large Language Model guided Protocol Fuzzing. Network and Distributed System Security Symposium (NDSS), 2024. [4] Yinlin Deng, Chunqiu Steven Xia, Haoran Peng, Chenyuan Yang, Lingming Zhang. Large Language Models are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models. ...
Roychoudhury, Large Language Model guided Protocol Fuzzing, in: Proceedings of the 31th Annual Network and Distributed System Security Symposium, NDSS’24, 2024. Google Scholar [42] Henrik P. LLM-assisted malware review: AI and humans join forces to combat malware (2023) https://shorturl.at/...
Meng R, Mirchev M, Böhme M et al (2024) Large language model guided protocol fuzzing. In: Proceedings 2024 Network and Distributed System Security Symposium. Internet Society Minaee S, Mikolov T, Nikzad N et al (2024) Large language models: a survey. arXiv preprint arXiv:2402.06196 NCC...
In this paper, we investigate and find that large language models (LLMs) excel in parsing HTTP protocol data and analyzing code logic. Based on these findings, we propose a novel LLM-guided IoT HTTP fuzzing method, ChatHTTPFuzz, which automatically parses protocol fields and analyzes service ...
Fuzz4All: Universal Fuzzing with Large Language Models[pdf] White-box Compiler Fuzzing Empowered by Large Language Models[pdf] AI-Powered Fuzzing: Breaking the Bug Hunting Barrier[Web] Large Language Model guided Protocol Fuzzing[pdf] Testing the Limits: Unusual Text Inputs Generation for Mobile Ap...
Large language model guided protocol fuzzing. In Proceedings of the 31st Annual Network and Distributed System Security Symposium (NDSS), San Diego, CA, USA, 26 February–1 March 2024. [Google Scholar] Cui, W.; Kannan, J.; Wang, H.J. Discoverer: Automatic Protocol Reverse Engineering from ...
In this work, we propose to adopt fine-tuned large language models (FuzzCoder) to learn patterns in the input files from successful attacks to guide future fuzzing explorations. Specifically, we develop a framework to leverage the code LLMs to guide the mutation process of inputs in fuzzing....
Direct kernel fuzzing is a targeted approach that focuses on specific areas of the kernel, effectively addressing the challenges of frequent updates and the inherent complexity of operating systems, which are critical infrastructure. This paper introduces SyzAgent, a framework that integrates LLMs with...
Large language model guided protocol fuzzing. In Proceedings of the 31st Annual Network and Distributed System Security Symposium (NDSS), San Diego, CA, USA, 26 February–1 March 2024. [Google Scholar] Cui, W.; Kannan, J.; Wang, H.J. Discoverer: Automatic Protocol Reverse Engineering from ...