A Taint Mode for Python via a Library
Paper in proceedings, 2012

Vulnerabilities in web applications present threats to on-line systems. SQL injection and cross-site scripting attacks are among the most common threats found nowadays. These attacks are often result of improper or none input validation. To help discover such vulnerabilities, popular web scripting languages like Perl, Ruby, PHP, and Python perform taint analysis. Such analysis is often implemented as an execution monitor, where the interpreter needs to be adapted to provide a taint mode. However, modifying interpreters might be a major task in its own right. In fact, it is very probably that new releases of interpreters require to be adapted to provide a taint mode. Differently from previous approaches, we show how to provide taint analysis for Python via a library written entirely in Python, and thus avoiding modifications in the interpreter. The concepts of classes, decorators and dynamic dispatch makes our solution lightweight, easy to use, and particularly neat. With minimal or none effort, the library can be adapted to work with different Python interpreters.

Author

J.J. Conti

Universidad Tecnologica Nacional

Alejandro Russo

Chalmers, Computer Science and Engineering (Chalmers), Computing Science (Chalmers)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 7127 210-222

Subject Categories

Computer and Information Science

DOI

10.1007/978-3-642-27937-9_15

More information

Latest update

5/25/2020