gosec VS rand

6. Gosec

You can (and definitely should!) also use gosec.

The crypto source in Go is great, no complaints there. Lints like gosec even recommend using it when generating crypto entropy. Go did a good job here, and I expect Rust will do the same sometime after getrandom reaches 1.0 so the API questions are settled, plus whatever makes sense for the future-proofing the standard library needs.

i think there's https://github.com/securego/gosec linter

Various static analysis tools are available for the Go language, and existing static analysis tools can check general best practices. For example, gosec is a tool to check secure Go coding, and I use it myself. However, coding rules in software development are not only based on best practices, but can also be software- or team-specific. For example

What's the difference between this a https://github.com/securego/gosec?

A github actions workflow is provided to run go fmt, vet, test and gosec. An initial configuration for dependabot is also provided.

Besides what was mentioned, we use : staticcheck.io and https://github.com/securego/gosec

For application code, there are different SAST (Static Application Security Testing) tools like sonarqube, which provide vulnerability scanners for different languages, gosec for analyzing go code and detecting issues based on rules, linters, etc.

Making compatibility promises for distributions means they cannot take advantage of potential advancements in the field.

Defining an error type that is meaningful, portable, and compatible with no-std isn't straightforward. If the std lib's getrandom requires std, then just like that, rand and many other crates won't use it anyway. Using io::Result seems to me to face this challenge.

Some wasm targets can’t generate random numbers at all but in the case of the book because you are using wasm in a browser you can use JS to generate random numbers. I believe there’s a way to get the rand crate to use JS as the backend for generating rand but its a bit more convoluted than the easy one-liner that the book suggests.

rand

This uses rand and xcomplex to handle the mathematics, png to write image files, and dialoguer and indicatif for some pretty prompts and progress bars.

You can often achieve this without any unsafe by putting an assert!() on the length before the hot loop. For example, I got rid of some unsafe in rand that way.

This is a widely used method to map random integers to floating point numbers, but it has the disadvantage of wasting 1 bit of float mantissa precision.

On modern CPUs, its computational advantage over full-precision mapping methods, such as multiplication by a float, is not always clear [1].

[1] https://github.com/rust-random/rand/issues/416

In fact, there are a lot of crates in Rust where in other programming languages, it would be included in the standard library. Examples are regex, random number generators, additional iterator methods, macros for other collections, num traits, loggers, HTTP libraries, error handling, async runtimes, serialization and deserialization, date and time, and many more.