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arXiv · 1405.1116

Data-flow Analysis of Programs with Associative Arrays

David Hauzar·Jan Kofroň·Pavel Baštecký
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Abstract

Dynamic programming languages, such as PHP, JavaScript, and Python, provide built-in data structures including associative arrays and objects with similar semantics-object properties can be created at run-time and accessed via arbitrary expressions. While a high level of security and safety of applications written in these languages can be of a particular importance (consider a web application storing sensitive data and providing its functionality worldwide), dynamic data structures pose significant challenges for data-flow analysis making traditional static verification methods both unsound and imprecise. In this paper, we propose a sound and precise approach for value and points-to analysis of programs with associative arrays-like data structures, upon which data-flow analyses can be built. We implemented our approach in a web-application domain-in an analyzer of PHP code.

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David Hauzar, Jan Kofroň, Pavel Baštecký. 2014-05-06. Data-flow Analysis of Programs with Associative Arrays. https://doi.org/10.4204/eptcs.150.6

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