ReScan:一个用于现实和健壮的黑盒Web应用程序扫描的中间件框架

Kostas Drakonakis, S. Ioannidis, Jason Polakis
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引用次数: 1

摘要

黑盒网络漏洞扫描器对安全研究人员和从业者来说是无价的。尽管最近的一些方法解决了扫描器的一些固有局限性,但许多扫描器并没有随着web浏览器和应用程序的发展而充分发展,并且经常缺乏处理导航和与现代web应用程序交互的固有挑战的能力。在本文中,我们提出了一个完全不同的策略,而不是构建一个可以自然地只包含由众多现有扫描器提供的广泛漏洞查找功能的有限集合的替代扫描器。我们介绍了ReScan,这是一个与扫描仪无关的中间件框架,它通过使用一个精心编排的、成熟的现代浏览器,以一种现实和健壮的方式协调扫描仪与web应用程序的交互,透明地增强了扫描仪的功能。从本质上讲,我们的框架可以与任何漏洞扫描程序结合使用,从而允许用户从现有和未来的扫描程序的功能中受益。我们的可扩展和模块化框架包括一系列增强技术,以解决最先进的扫描仪通常面临的限制和障碍。我们的实验评估表明,尽管成熟的浏览器带来了相当大的(和预期的)开销,但我们的框架显著提高了流行扫描器实现的代码覆盖率(平均为168%),导致检测到的反射和存储的XSS漏洞数量分别增加了66%和161%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ReScan: A Middleware Framework for Realistic and Robust Black-box Web Application Scanning
—Black-box web vulnerability scanners are invaluable for security researchers and practitioners. Despite recent approaches tackling some of the inherent limitations of scanners, many have not sufficiently evolved alongside web browsers and applications, and often lack the capabilities for handling the inherent challenges of navigating and interacting with modern web applications. Instead of building an alternative scanner that could naturally only incorporate a limited set of the wide range of vulnerability-finding capabilities offered by the multitude of existing scanners, in this paper we propose an entirely different strategy. We present ReScan, a scanner-agnostic middleware framework that transparently enhances scanners’ capabilities by mediating their interaction with web applications in a realistic and robust manner, using an orchestrated, fully-fledged modern browser. In essence, our framework can be used in conjunction with any vulnerability scanner, thus allowing users to benefit from the capabilities of existing and future scanners. Our extensible and modular framework includes a collection of enhancement techniques that address limitations and obstacles commonly faced by state-of-the-art scanners. Our experimental evaluation demonstrates that despite the considerable (and expected) overhead introduced by a fully-fledged browser, our framework significantly improves the code coverage achieved by popular scanners (168% on average), resulting in a 66% and 161% increase in the number of reflected and stored XSS vulnerabilities detected, respectively.
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