platform-compat VS gosec

DotNet offers the SecureString class to keep a string encrypted in Memory, but as long as the OS does not natively support this concept, the only advantage is that it resides in memory for a shorter time, the disadvantage is that SecureStrings are easier to search for.

Note the KeePass's resistance to the attack mentioned depends on the security of .NET's secure string, which, here's what Microsoft has to say about it (https://github.com/dotnet/platform-compat/blob/master/docs/D...)

As for KeePassXC, last I checked it didn't even bother.

TIL. Looks like the deprecation note recommends MailKit.

Well of course, but it does have to be passed to the module that generates the hashes AD uses in the first place. And as I said, the standard password reset screen is bound to store the password in plain text somewhere as well.

This won’t help you with your question, but I figured I should warn against using send-mailmessage.

points you here.

Some of the reasons for not using Hashtable or other non-generic collection types are outlined here. That's why Microsoft doesn't recommend their usage in new implementations across all of its API documentation.

And if you really want to be secure you need to something better than a SecureString: https://github.com/dotnet/platform-compat/blob/master/docs/DE0001.md

For those unaware, gosec (and by extension golangci-lint) will warn about uses of `math/rand`

https://github.com/securego/gosec/blob/d3b2359ae29fe344f4df5...

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