Randomness Classes in Bugs Framework (BF): True-Random Number Bugs (TRN) and Pseudo-Random Number Bugs (PRN)

摘要

Random number generators may have weaknesses (bugs) and the applications using them may become vulnerable to attacks. Formalization of randomness bugs would help researchers and practitioners identify them and avoid security failures. The Bugs Framework (BF) comprises rigorous definitions and (static) attributes of bug classes, along with their related dynamic properties, such as proximate and secondary causes, consequences and sites. This paper presents two new BF classes: True-Random Number Bugs (TRN) and Pseudo-Random Number Bugs (PRN). We analyze particular vulnerabilities and use these classes to provide clear BF descriptions. Finally, we discuss the lessons learned towards creating new BF classes.