Discover the methodology behind analyzing crypto misuses in Python and MicroPython projects from GitHub and curated MicroPython repositories.

Explore insights from LICMA's empirical study on crypto misuses in Python apps, highlighting the impact of user-friendly API design and of hybrid analysis.

Explore a review of previous studies on crypto misuse analysis, including insights from Java, Android, and C/C++ applications.

Learn about the limitations in current analysis tools and frameworks, impacting the accuracy and scope of findings in crypto misuse studies.

Explore a comparative analysis of crypto security across Python, Java, and C based on empirical studies.

Discover LICMA's analysis of crypto usage in MicroPython, highlighting custom AES implementations and insights into embedded code practices.

Learn about definite misuses, dependency impacts, rule violations, and insights into security vulnerabilities across cryptographic libraries.

Explore the design choices behind API coverage and rule implementation, enhancing crypto misuse detection capabilities.

Gain insights into how API design impacts crypto misuses and discover trends in programming language security vulnerabilities.

Explore how AST parsing, Babelfish UAST, and backward slicing algorithms work together to enforce crypto rules and enhance application security.

Delve into the complexities of crypto libraries and their potential vulnerabilities, from insecure block modes to static seeds.

Explore the impact of API design on security and the importance of hybrid static analyses in uncovering vulnerabilities.