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[Preprint] ObjectMap: Detecting Insecure Object Deserialization

Authors: Koutroumpouchos Nikolaos; Lavdanis Georgios; Veroni Eleni; Ntantogian Christoforos; Xenakis Christos;

[Preprint] ObjectMap: Detecting Insecure Object Deserialization

Abstract

In recent years there is a surge of serialization-based vulnerabilities in web applications which have led to serious incidents, exposing private data of millions of individuals. Although there have been some efforts in addressing this problem, there is still no unified solution that is able to detect implementation-agnostic vulnerabilities. We aim to fill this gap by proposing ObjectMap, an extendable tool for the detection of deserialization and object injection vulnerabilities in Java and PHP based web applications. Furthermore, we also introduce the first deserialization test environment which can be used to test deserialization vulnerability detection tools and for educational purposes. Both of these tools are easily extendable and the first to implement this combination of features to the best of our knowledge and they bring together a synthesis of cross-complementing functionalities that are able to ignite further research in the field and help in the development of more feature-rich solutions.

This work was supported by the European Commission, under the FutureTPM, CUREX, INCOGNITO and SECONDO projects; Grant Agreements no. 779391, 826404, 824015 and 823997, respectively.

Keywords

insecure deserialization, security, vulnerability scanner, web application

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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