Making sure that your code is secure is a difficult task. In this episode we spoke to Eric Brown, Travis McPeak, and Tim Kelsey about their work on the Bandit library, which is a static analysis engine to help you find potential vulnerabilities before your application reaches production. We discussed how it works, how to make it fit your use case, and why it was created. Give the show a listen and then go start scanning your projects!
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- Your hosts as usual are Tobias Macey and Chris Patti
- Today we’re interviewing Tim Kelsey and Eric Brown about Bandit which is a static analysis engine for finding security vulnerabilities in your Python code.
Interview with Eric Brown, Travis McPeak and Tim Kelsey
- How did you get introduced to Python? – Chris
- What is Bandit and what was the inspiration for creating it? – Tobias
- How did you each get involved with the Bandit project? – Tobias
- At what stage of the development process would you want to use Bandit? – Tobias
- What kinds of analysis does Bandit do on the source code that it is run against? – Tobias
- How does it determine whether a particular segment of code is introducing a vulnerability and what means does it use to determine the severity? – Tobias
- What does the generated report include and what can be done with that information? – Tobias
- What are some of the biggest design and implementation difficulties that have been encountered in the process of creating Bandit? – Tobias
- How does bandit compare to similar tools in other languages such as Ruby’s BrakeMan? – Tobias
- What are some of the most interesting extensions that you have seen for Bandit? – Tobias
- What is on the roadmap for the future of Bandit? – Tobias
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