cargo-crev VS rust

In other cases it may be more documented, such as Golangs baked-in telemetry.

There should be better ways to check these problems. The best I have found so far is Crev https://github.com/crev-dev/crev/. It's most used implementation is Cargo-crev https://github.com/crev-dev/cargo-crev, but hopefully it will become more required to use these types of tools. Certainty and metrics about how many eyes have been on a particular script, and what expertise they have would be a huge win for software.

The main problem the author is talking about is actually about version updates, which in Maven as well as crates.io is up to each lib's author, and is not curated in any way.

There's no technical solution to that, really. Do you think Nexus Firewall can pick up every exploit, or even most? How confident of that are you, and what data do you have to back that up? I don't have any myself, but would not be surprised at all if "hackers" can easily work around their scanning.

However, I don't have a better approach than using scanning tools like Nexus, or as the author proposes, use a curated library repository like Debian is doing (which hopefully gets enough eyeballs to remain secure) or the https://github.com/crev-dev/cargo-crev project (manually reviewed code) also mentioned. It's interesting that they mention C/C++ just rely on distros providing dynamic libs instead which means you don't even control your dependencies versions, some distro does (how reliable is the distro?)... I wonder if that could work for other languages or if it's just as painful as it looks in the C world.

For instance, the worst company imaginable may be in charge of software that was once FOSS, and they may change absolutely nothing about it, so it should be fine. However, if a small update is added that does something bad, you should know about it immediately.

The solution seems to be much more clearly in the realm of things like crev: https://github.com/crev-dev/cargo-crev/

Wherein users can get a clear picture of what dependencies are used in the full chain, and how they have been independently reviewed for security and privacy. That's the real solution for the future. A quick score that is available upon display everytime you upgrade, with large warnings for anything above a certain threshold.

The metrics on crates.io are a useful sniff test, but ultimately you need to review things yourself, or trust some contributors and reviewers. Some projects, like cargo crev or cargo vet can help with the process.

You can use cargo-geiger or cargo-crev to check for whether people you trusted (e.g. u/jonhoo ) trust this crate.

There is a similar idea being explored with https://github.com/crev-dev/cargo-crev - you trust a reviewer who reviews crates for trustworthiness, as well as other reviewers.

[cargo-crev](https://github.com/crev-dev/cargo-crev) looks like a good step in the right direction but not really commonly used.

'cargo crev' makes this kind of workflow possible: https://github.com/crev-dev/cargo-crev

The crev folks themselves are no fans of PGP but need a way to security identify that you are in fact the review author, so that's where the id generation comes in. Ultimately crev is just a bunch of repos with text files you sign with IDs. The nice property is that you can chain these together into a web of trust and it's unfortunate that vet doesn't just use the same signed files on repos model as a foundation because even if they don't trust anyone else, we could turn around and trust them.

If you haven't dipped your touch-typing fingers into Rust yet, you really owe it to yourself. Rust is a modern programming language with features that make it suitable not only for systems programming -- its original purpose, but just about any other environment, too; there are frameworks that let your build web services, web applications including user interfaces, software for embedded devices, machine learning solutions, and of course, command-line tools. Since a custom GitHub Action is essentially a command-line tool that interacts with the system through files and environment variables, Rust is perfectly suited for that as well.

Here's an example of someone citing a disagreement between CRT and shell32:

https://github.com/rust-lang/rust/issues/44650

This in addition to the Rust CVE mentioned elsewhere in the thread which was rooted in this issue:

https://blog.rust-lang.org/2024/04/09/cve-2024-24576.html

Here are some quick programs to test contrasting approaches. I don't have examples of inputs where they parse differently on hand right now, but I know they exist. This was also a problem that was frequently discussed internally when I worked at MSFT.

    #include 

> instead of choosing a certain numbered version of the random library (if I remember correctly) I let cargo download the latest version which had a completely different API.

Yeah, they didn't follow the instructions and got burned. I still think that multiple things went wrong simultaneously for that experience. I wonder if more prevalent uses of `#[doc(alias = "name")]` being leveraged by https://github.com/rust-lang/rust/pull/120730 (which now that I check only accounts for methods and not functions, I should get on that!) so that when changing APIs around people at least get a slightly better experience.

Almost fixed the compiler: https://github.com/rust-lang/rust/pull/123325

Rust: A secure, efficient, and modern programming language (omitting ten thousand words). You can simply follow the installation instructions provided on the official website.

Recently did something similar in Rust but for generating SVGs. We've adopted it for snapshot testing of cargo and rustc's output. Don't have a good PR handy for showing Github's rendering of changes in the SVG (text, side-by-side, swiping) but https://github.com/rust-lang/rust/pull/121877/files has newly added SVGs.

To see what is supported, see the screenshot in the docs: https://docs.rs/anstyle-svg/latest/anstyle_svg/

We strongly believe in Rust as a powerful language for building production-grade software, especially for systems like ours that run alongside Kubernetes.

The above Assert<{N % 2 == 1}> requires #![feature(generic_const_exprs)] and the nightly toolchain. See https://github.com/rust-lang/rust/issues/76560 for more info.