基于图同构网络的高效Web模糊测试技术研究

doi:10.3969/j.issn.1671-1122.2024.10.008

信息网络安全 ›› 2024, Vol. 24 ›› Issue (10): 1544-1552.doi: 10.3969/j.issn.1671-1122.2024.10.008

基于图同构网络的高效Web模糊测试技术研究

张展鹏¹^,², 王鹃¹^,²(), 张冲¹^,², 王杰¹^,², 胡宇义¹^,²

1.武汉大学国家网络安全学院，武汉 430072
2.武汉大学空天信息安全与可信计算教育部重点实验室，武汉 430072

收稿日期:2024-05-08 出版日期:2024-10-10 发布日期:2024-09-27
通讯作者: 王鹃, jwang@whu.edu.cn
作者简介:张展鹏（2000—），男，河北，硕士研究生，主要研究方向为漏洞挖掘、系统安全|王鹃（1976—），女，湖北，教授，博士，CCF会员，主要研究方向为网络安全、可信计算、系统安全、人工智能安全|张冲（1998—），男，山东，硕士，主要研究方向为漏洞挖掘、二进制安全|王杰（1995—），男，山东，博士研究生，主要研究方向为可信计算、机密计算|胡宇义（2001—），男，四川，硕士研究生，主要研究方向为系统安全、硬件安全、漏洞挖掘
基金资助:
国家自然科学基金(61872430);科技部科技创新2030—“新一代人工智能”重大项目(2020AA0107700);国家电网科学技术项目(520940210009)

The Research on Efficient Web Fuzzing Technology Based on Graph Isomorphic Network

ZHANG Zhanpeng¹^,², WANG Juan¹^,²(), ZHANG Chong¹^,², WANG Jie¹^,², HU Yuyi¹^,²

1. School of Cyber Science and Engineering, Wuhan University, Wuhan 430072, China
2. Key Laboratory of Aerospace Information Security and Trusted Computing of Ministry of Education, Wuhan University, Wuhan 430072, China

Received:2024-05-08 Online:2024-10-10 Published:2024-09-27

摘要/Abstract

摘要：

现有的Web模糊测试方法主要包括基于字典的黑盒测试方法和借鉴二进制模糊测试的灰盒测试方法，这些方法存在随机性大、效率低的缺点。针对上述问题，文章提出了一种基于图同构网络的高效Web模糊测试方法。首先，利用图同构网络在图表示和图结构学习方面的强大能力，在代码的控制流图上学习漏洞语义和结构特征，并进行基本块漏洞概率预测；然后，基于漏洞预测结果提出了漏洞概率和覆盖率双导向的Web应用模糊测试指导策略，在不降低覆盖率的同时优先探索含漏洞概率更高的程序位置，有效解决了现有Web应用模糊测试工具随机性大、效率低的问题；最后，基于以上方法实现了原型系统并进行实验评估。实验结果表明，与webFuzz相比，该原型系统的漏洞挖掘效率提高了40%，覆盖率扩大了5%。

关键词: 模糊测试, Web漏洞, 图同构网络, 漏洞挖掘

Abstract:

Existing Web fuzzing methods mainly include dictionary-based black-box testing methods and borrow gray-box testing methods from binary fuzzing. These methods have the disadvantages of high randomness and low efficiency. In response to the above issues, the article proposed an efficient Web fuzzing method based on graph isomorphism network. Firstly, leveraging the powerful capabilities of graph isomorphism network in graph representation and structure learning, the semantic and structural features of vulnerabilities were learnt on the control flow graph of the code, and the probabilities of basic block vulnerabilities were predicted. Then, based on the vulnerability prediction results, a Web application fuzzing guidance strategy with dual guidance of vulnerability probability that consider both vulnerability probability and coverage. It prioritized the exploration of program locations with higher vulnerability possibilities without compromising coverage, effectively addressing the issues of high randomness and low efficiency in existing Web application fuzzing tools. Finally, based on the above methods, a prototype system was implemented and experimentally evaluated. The experimental results show that the efficiency of the system has increased by 40%, and the coverage has expanded by 5%.

Key words: fuzzing, Web vulnerability, graph isomorphism network, vulnerability discovery

中图分类号:

TP309

张展鹏, 王鹃, 张冲, 王杰, 胡宇义. 基于图同构网络的高效Web模糊测试技术研究[J]. 信息网络安全, 2024, 24(10): 1544-1552.

ZHANG Zhanpeng, WANG Juan, ZHANG Chong, WANG Jie, HU Yuyi. The Research on Efficient Web Fuzzing Technology Based on Graph Isomorphic Network[J]. Netinfo Security, 2024, 24(10): 1544-1552.

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参考文献 22

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模型	层数	Accuracy	Recall	FNR	FPR
GCN	5	81.5%	76.9%	23.1%	18.3%
GCN	7	84.5%	79.9%	20.1%	15.2%
本文模型	5	88.2%	88.9%	11.1%	11.9%
本文模型	7	88.7%	89.9%	10.1%	11.3%

目标应用	本文系统		webFuzz
目标应用	发现漏洞数量/个	真实漏洞数量/个	发现漏洞数量/个	真实漏洞数量/个
WordPress-4.6.19	2	4	1	4
Joomla-3.7.0	1	32	0	32
CE-Phoenix-1.0.5	6	15	3	15
WeBid-1.2.1	3	10	3	10

基于图同构网络的高效Web模糊测试技术研究

The Research on Efficient Web Fuzzing Technology Based on Graph Isomorphic Network

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