Paper Info
Title
Python Crypto Misuses in the Wild
Abstract
ABSTRACTBackground: Previous studies have shown that up to 99.59 % of the Java apps using crypto APIs misuse the API at least once. However, these studies have been conducted on Java and C, while empirical studies for other languages are missing. For example, a controlled user study with crypto tasks in Python has shown that 68.5 % of the professional developers write a secure solution for a crypto task. Aims: To understand if this observation holds for real-world code, we conducted a study of crypto misuses in Python. Method: We developed a static analysis tool that covers common misuses of 5 different Python crypto APIs. With this analysis, we analyzed 895 popular Python projects from GitHub and 51 MicroPython projects for embedded devices. Further, we compared our results with the findings of previous studies. Results: Our analysis reveals that 52.26 % of the Python projects have at least one misuse. Further, some Python crypto libraries' API design helps developers from misusing crypto functions, which were much more common in studies conducted with Java and C code. Conclusion: We conclude that we can see a positive impact of the good API design on crypto misuses for Python applications. Further, our analysis of MicroPython projects reveals the importance of hybrid analyses.
Year
DOI
Venue
2021
10.1145/3475716.3484195
Empirical Software Engineering and Measurement
DocType
ISSN
Citations 
Conference
ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2021)
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Anna-Katharina Wickert101.35
Lars Baumgärtner200.34
Florian Breitfelder300.34
Mira Mezini43171211.04