Dynamically Detecting DOM-Related Atomicity Violations in JavaScript with Asynchronous Call

Dezhi Wang, Lei Xu, Baowen Xu, Weifeng Zhang
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Abstract

In Web applications, atomicity violations caused by AJAX (Asynchronous JavaScript and XML) generate non-determinism and inconsistency. This paper introduces a dynamical detecting approach for atomicity violations in AJAX. Implemented based on Jalangi, an existing instrumentation framework, our technique monitors the execution of a Web application and tracks the Function Callback Flow to find atomic regions by taint analysis. Next, we build a dynamic event model, so as to precisely record the related DOM elements in call and callback steps with low overhead. Then we develop an event-based algorithm to acquire the results, which are classified into different severity levels (benign or harmful). Finally, we conduct an empirical experiment on a subset of Alexa top-ranked websites. Our tool detects 175 DOM related atomicity violations in which 48.6% of violations are identified as harmful after manual inspection.
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通过异步调用动态检测JavaScript中dom相关的原子性违规
在Web应用程序中,AJAX(异步JavaScript和XML)导致的原子性违反会产生不确定性和不一致性。介绍了AJAX中原子性违规的动态检测方法。我们的技术基于现有的检测框架Jalangi实现,它监视Web应用程序的执行并跟踪函数回调流,从而通过污点分析找到原子区域。接下来,我们构建一个动态事件模型,以便在调用和回调步骤中精确地记录相关的DOM元素,同时降低开销。然后,我们开发了一种基于事件的算法来获取结果,并将结果分为不同的严重程度(良性或有害)。最后,我们对Alexa排名靠前的网站子集进行了实证实验。我们的工具检测到175个DOM相关的原子性违规,其中48.6%的违规在人工检查后被识别为有害的。
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