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Software Technology Research
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 10
3110-3118

Greybox fuzzing method for text protocol based on field perception

Sun Yutao
Xu Xianghua
School of Computer Science, Hangzhou Dianzi University, Hangzhou 310018, China
DOI: 10.19734/j.issn.1001-3695.2024.01.0035

Abstract

The mutation-based grey-box protocol fuzzing methods are convenient and highly scalable. However, they lack the message format information of the protocol under test, resulting in most of the messages in test cases being rejected by the target protocol implementation, severely affecting the testing efficiency. To address this issue, this paper proposed a greybox fuzzing method for text protocol based on field perception. This method incorporated the concept of template learning into mutation-based protocol fuzzing. It used delimiters to segment message fields and utilized a field dictionary to obtain valid values for each field. Subsequently, this paper designed multiple field-level mutation strategies for the segmented messages and calculated the corresponding field mutation energy based on the number of valid values and coverage feedback. Moreover, this approach leveraged the results of message field segmentation to provide a more fine-grained characterization of the protocol implementation state. Experimental results demonstrate that this method can improve the proportion of test cases accepted by the target protocol implementation generated by the classic mutation-based protocol fuzzing framework AFLNET, thereby increasing testing efficiency over five times. It proves that the low acceptance rate of test cases in the commonly used mutation-based protocol fuzzing methods decrease the overall testing efficiency, and increasing the test case acceptance rate can improve the testing efficiency significantly.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.01.0035
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 10
Section: Software Technology Research
Pages: 3110-3118
Serial Number: 1001-3695(2024)10-032-3110-09

Publish History

[2024-07-04] Accepted Paper
[2024-10-05] Printed Article

Cite This Article

孙语韬, 徐向华. 基于字段感知的文本协议灰盒模糊测试方法 [J]. 计算机应用研究, 2024, 41 (10): 3110-3118. (Sun Yutao, Xu Xianghua. Greybox fuzzing method for text protocol based on field perception [J]. Application Research of Computers, 2024, 41 (10): 3110-3118. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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