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This work has been supported by the MINECO and European Commission (FEDER funds) under Project RTI2018-098156-B-C52, by the JCCM under the Project SB-PLY/17/180501/00035, by the Spanish Education, Culture and Sports Ministry under Grants FPU 17/03105 and FPU 17/02007, by the University of Castilla-La Mancha under the contract 2018-PREDUCLM-7476.

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An instrumentation based algorithm for stack overflow detection

Publicado en:Journal Of Computer Virology And Hacking Techniques. 16 (3): 245-256 - 2020-07-02 16(3), DOI: 10.1007/s11416-020-00359-7

Autores: Carrillo-Mondejar, J; Castelo-Gomez, J M; Roldan-Gomez, J; Martinez, J L

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Resumen

Despite all the efforts made by the scientific community in terms of computer security, buffer overflow vulnerabilities continue being the biggest security flaw in applications, since they compromise the security of the system through memory corruption. To tackle this problem, there are different techniques based on the binary analysis of the application in question. With this objective in mind, the present paper proposes an algorithm based on the dynamic instrumentation of binaries, that is, dynamic local variables belonging to the functions of the program are detected, and a check is performed to see whether there is an overflow of memory between them. The results obtained show how the proposed algorithm is able to detect buffer overflow errors in the stack frames of a function.

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