Our paper suggests an adapted algorithm that can report error chains between API misuses. The empirical study onn 471 GitHub repositories showed that 50% of projects are affected by connected cryptographic API misuses. Further, the runtime overhead is minimal, and developers appreciate the adaption.
Our user study shows that the Eclipse plugin CogniCrypt reduces misuses and speeds development, enhancing security and efficiency for cryptographic API usage. Through a controlled experiment with 24 Java developers, we found that CogniCrypt significantly improves code security and development speed for cryptography-related tasks. Developers appreciate CogniCrypt’s code generation and static analysis, though integrating the generated code remains a challenge.
Empirial study of cryptographic misuses on enterprise-driven applications that identified several potential effective false positives, such as the use of hash algorithms in a non-security context. Further, we introduced a theoretical model of vulnerabilities caused by API misuses.
So far, benchmarks for cryptographic API misuses only focused on a subset of issues or tools. To drive future development in this domain, we will openly generate a benchmark. We will derive the generation of this novel benchmark from best practices.
Our study analyzes cryptographic API misuses in over 900 Python and MicroPython projects, revealing that 52% of the projects have at least one misuse. The findings indicate a positive impact of good API design in reducing misuses compared to Java and C.