用于生成JavaScript测试用例的路径敏感语义分析技术

Yunheng Luo, Jianshan Peng
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引用次数: 0

摘要

JavaScript引擎作为web浏览器的核心组件,其安全性一直备受关注。目前最先进的JavaScript引擎fuzzers主要关注于通过从初始语料库中提取语义信息来生成正确有效的测试用例。然而,我们发现现有的fuzzers在提取语义信息的过程中没有注意到分支条件的影响,从而导致错误的测试用例。为了解决这一挑战,我们提出了一种路径敏感语义分析技术,并在一个名为WindCore的模糊测试工具中实现它。与现有的fuzzers相比,WindCore可以更充分地提取初始语料库中的语义信息,生成语法和语义正确的测试用例。实验结果表明,WindCore可以大大提高测试用例的正确率,而性能开销可以忽略不计。
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WindCore: Path-Sensitive Semantic Analysis Technique for JavaScript Testcase Generation
As the core component of web browser, JavaScript engine has always been concerned about its security. Current state-of-the-art fuzzers for JavaScript engines mainly focus on generating correct and effective testcases by extracting semantic information from the initial corpus. However, we found that the existing fuzzers did not pay attention to the impact of branch conditions in the process of extracting semantic information, which led to incorrect testcases. To address this challenge, we propose a path-sensitive semantic analysis technique and implement it in a fuzz testing tool termed WindCore. Compared with the existing fuzzers, WindCore can more fully extract the semantic information in the initial corpus and generate testcases with correct syntax and semantics. Experimental results show that WindCore can greatly improve the correct rate of testcases with only a negligible performance overhead.
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