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ROPNN: Detection of ROP Payloads Using Deep Neural Networks
Feb. 14, 2024, 5:10 a.m. | Xusheng Li Zhisheng Hu Haizhou Wang Yiwei Fu Ping Chen Minghui Zhu Peng Liu
cs.CR updates on arXiv.org arxiv.org
In this paper, we present ROPNN, which innovatively combines address space layout guided disassembly and deep neural networks to detect ROP payloads. The disassembler treats application input data as code pointers and aims to find any potential gadget chains, which are then classified by …
accuracy address attack code code reuse cs.cr detection disassembly high layout machines networks neural networks operations payloads programming return reuse rop runtime snippets space target
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