UQuery: Static Security Analysis of PHP-Based Web Programs Using Graph Models

This paper introduces UQuery, a novel framework designed for agile security analysis of server-side web applications. UQuery employs a dependency graph, an innovative program representation that concurrently models data and control dependencies. This graph model facilitates efficient data- and control-flow analyses by converting them into intuitive graph queries. Currently, UQuery includes two security applications: one for detecting unrestricted file upload vulnerabilities and another for identifying information leakage through exploitable race conditions. It has detected vulnerabilities in 16 applications, resulting in the discovery of 6 previously unreported CVEs.

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Publication Details

Published
2024-09-30
DOI
https://doi.org/10.1109/cns62487.2024.10735619
Primary Topic
Web Application Security Vulnerabilities
Type
article
Field-Weighted Citation Impact
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article

UQuery: Static Security Analysis of PHP-Based Web Programs Using Graph Models

Jin Huang, Jialun Liu, Junjie Zhang, Chuang Li et al.
Web Application Security Vulnerabilities
article

UQuery: Static Security Analysis of PHP-Based Web Programs Using Graph Models

Jin Huang, Jialun Liu, Junjie Zhang, Chuang Li, Rui Dai
article en

Abstract

This paper introduces UQuery, a novel framework designed for agile security analysis of server-side web applications. UQuery employs a dependency graph, an innovative program representation that concurrently models data and control dependencies. This graph model facilitates efficient data- and control-flow analyses by converting them into intuitive graph queries. Currently, UQuery includes two security applications: one for detecting unrestricted file upload vulnerabilities and another for identifying information leakage through exploitable race conditions. It has detected vulnerabilities in 16 applications, resulting in the discovery of 6 previously unreported CVEs.

Wright State University (US), University of Cincinnati (US)
Openalex Percentile: Top 70%
Web Application Security Vulnerabilities
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