An Empirical Analysis of Vulnerabilities in Python Packages for Web Applications
October 31, 2018 Β· Declared Dead Β· π International Workshop on Empirical Software Engineering in Practice
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Authors
Jukka Ruohonen
arXiv ID
1810.13310
Category
cs.SE: Software Engineering
Cross-listed
cs.CR
Citations
28
Venue
International Workshop on Empirical Software Engineering in Practice
Last Checked
4 months ago
Abstract
This paper examines software vulnerabilities in common Python packages used particularly for web development. The empirical dataset is based on the PyPI package repository and the so-called Safety DB used to track vulnerabilities in selected packages within the repository. The methodological approach builds on a release-based time series analysis of the conditional probabilities for the releases of the packages to be vulnerable. According to the results, many of the Python vulnerabilities observed seem to be only modestly severe; input validation and cross-site scripting have been the most typical vulnerabilities. In terms of the time series analysis based on the release histories, only the recent past is observed to be relevant for statistical predictions; the classical Markov property holds.
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