ReScan: A Middleware Framework for Realistic and Robust Black-box Web Application Scanning
Kostas Drakonakis, Sotiris Ioannidis, Jason Polakis
Abstract
—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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Cited by top-tier papers8
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- Rise of Inspectron: Automated Black-box Auditing of Cross-platform Electron AppsMir Masood Ali, Mohammad Ghasemisharif, Chris Kanich, Jason PolakisUSENIX Security 2024 · 2 citations
- DOM-XSS Detection via Webpage Interaction Fuzzing and URL Component SynthesisNuno Sabino, Darion Cassel, Rui Abreu, Pedro Adão et al.NDSS 2026 · 1 citation
- Effective Directed Fuzzing with Hierarchical Scheduling for Web Vulnerability DetectionZihan Lin, Yuan Zhang, Jiarun Dai, Xinyou Huang et al.USENIX Security 2025
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- Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing WebpagesYun Lin, Ruofan Liu, Dinil Mon Divakaran, Jun Yang Ng et al.USENIX Security 2021 · 164 citations
- Don't Trust The Locals: Investigating the Prevalence of Persistent Client-Side Cross-Site Scripting in the WildMarius Steffens, Christian Rossow, Martin Johns, Ben StockNDSS 2019 · 84 citations
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- The Cookie Hunter: Automated Black-box Auditing for Web Authentication and Authorization FlawsKostas Drakonakis, Sotiris Ioannidis, Jason PolakisCCS 2020 · 56 citations
- JAW: Studying Client-side CSRF with Hybrid Property Graphs and Declarative TraversalsSoheil Khodayari, Giancarlo PellegrinoUSENIX Security 2021 · 51 citations
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