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For example, consider this code from the Apache Cordova library (version 3.8.Remove All Whitespace From a String in JavaScript One area where cryptographic PRNGs are difficult to implement correctly is the client side of web application systems. Furthermore, cryptographic PRNGs are designed to maintain much more internal state, often incorporating non-deterministic system parameters and hardware-based random sources.
Using a statistical pseudo random number generator (PRNG) instead will pose the following problems: RFC 4122, the RFC defining the UUID standard, recommends using a cryptographic-grade random number generator for the purposes of generating UUIDs (RFC 4122, p. The generation process typically involves random number generation. The generation process, or algorithm, needs to be selected so as to make this sufficiently improbable in practice. However, in a security context these values are not necessarily “guaranteed unique.” A hash collision can be caused due to the fact that the identifiers have a finite size, which means it is therefore possible for two entities to generate the same identifier. They used them on the Apollo mission, how neat is that?
UUIDs were originally used in the Apollo Network Computing System and later in the Open Software Foundation’s (OSF) Distributed Computing Environment (DCE), and then in Microsoft Windows platforms.” RFC 4122 “…128 bits long, and can guarantee uniqueness across space and time. The proposed UUID standard describes a UUID as:
We see weaknesses in this space quite often for temporary passwords and session identifiers, but an increasingly common variant is for universally unique identifiers (UUIDs).