Comment by goodlinks 9 days ago
Does go have a bad security reputation?
I get that anything can be insecure and its a constant battle as this article suggests, but i thought it was quite secure and stable generally (say on a par with .net or any other tool you may use to make a web app at least?)
I'd point out that one advantage Go has over Rust in terms of security are the coverage of standard libraries. Go has great support for HTTP clients/servers, cryptography primitives, SSH, SQL, JSON, secure RNG, etc. all in officially maintained standard libraries. The Rust ecosystem has some standards here but the most widely used HTTP client, just as an example, is mostly maintained by one guy[1]. I think that adds considerable security risk vs Go's net/http.
My own experience is that the Go stdlib has resulted in worse security than, for example, rust.
The reason for that is that both the Rust and Go stdlib have a stability promise, so anything built into them can't change if it's insecure.
For example, the 'tar' package in go by default returns unsanitized paths, and has led to a bunch of CVEs: https://github.com/golang/go/issues/55356
The go stdlib can't change the tar package to make it secure by default because it would be a breaking change to do so.
Rust, on the other hand, has a tar package outside of the stdlib, and so it can evolve to be more secure and over time find a better interface.
We've seen that with various other packages, where the Go stdlib HTTP implementation defaults to no timeouts, and thus makes it easy to DoS yourself. Ditto for tcp. The tls package has similar backwards compatibility warts that make it less secure by default.
Forcing backwards compatibility with network protocols by baking them into the stdlib has largely not been a security win in my experience.
You can argue that people can build packages outside of the Go stdlib too, like if the stdlib "image/draw" package is so bad it can't be used, they can make "golang.org/x/image/draw", or if the stdlib crypto package is bad, they can make "golang.org/x/crypto"... and they did, but people still reach for the stdlib because it's easier to, which makes it an active security trap.
I'm not giving rust credit, I'm giving Go a demerit for having a large stdlib which it does not have a good path to evolve around security problems.
We do have stuff like `golang.org/x/<etc>` and `rand/v2`, both of which people don't really use, which are I think clear indications that the go team screwed up here.
Things like tls and http should have been separately versioned packages from the beginning, allowing infrequent breaking changes, and for users to update at their own pace independently of the compiler version.
As-is, every time I update the go compiler, I also have to worry about setting a bunch of new GODEBUG flags (like 'x509sha1=1') to perform the compiler update without breaking stuff, and then separately deal with the breakages associated with those flags. Practically every go version in recent memory has had a breaking http or tls change which has caused issues for me.
But of course they're all tied together, so to get a CVE fix in one package, I have to update the entire stdlib at once, so I have to accept some broken http change in order to fix a tls CVE or whatever.
If tls were a separate package, I could update it separately from the compiler and http package and consume security updates more quickly, and also actually update my go compiler version without worrying about how much of my code will break.
As I said, I'm not giving rust extra-credit, it did the reasonable normal thing of saying "the stdlib is for stuff we're pretty sure is actually stable", while go instead said "idk, will net.Dial ever need a timeout? Who knows, let's promise it's stable forever anyways" and "the default zero value for tls version should be 1.0 forever right", which I think deserves an obvious demerit.
Good point. If you consider the size of your dependency graph as a risk, especially for languages that encourage large dependency graphs like JS and Rust, then Go has a very clear advantage.
> Be wary of anyone trying to claim that there are significant security differences between any of the "modern" or "high-level" languages. These threads inexorably trend towards language-warring.
Hm, I think this is a reasonable take but taken too far. Presumably this out of a desire to avoid people arguing about this-language-feature vs. that-language-feature, but in practice "the language" also gets conflated with the tooling and the ecosystem for that language, and having good tooling and a good ecosystem actually does matter when it comes to security vulns in practice. Indeed, anyone can write SQL injection in any language, but having a culture of finding, reporting, and disseminating those vulnerabilities when they happen, and then having mature tooling to detect where those vulnerable packages are being used, and then having a responsive ecosystem where vulnerable packages get swiftly updated, those are all things that make for more secure languages in practice, even among languages with near-identical feature sets.
What is the "deserialisation pandemic"? It doesn't have obvious web search results, and I'm struggling to imagine what about deserialisation what be common between Java and Python (except that, in both cases, I'd surely just use protobuf if I wanted binary serialisation).
In the early 2000/2010s there was a popular idea that it'd be neat to have (de)serialization functionality that could perfectly roundtrip your language's native objects, without requiring that the objects be whatever the language uses as plain old data storage. In the happy case it worked super well and basically every language sufficiently dynamic to support it got a library which let you take some in memory objects, write them to disk, then restore them exactly as they were at some later time.
This had the obvious-in-retrospect major problem that it meant that your deserialization was functionally equivalent to eval(), and if an attacker could ever control what you deserialized they could execute arbitrary code. Many programmers did not realize this and just plain called deserialization functions on untrusted data, and even when people did become aware that was bad it still turned lots of minor bugs into RCE bugs. It was often a long and painful migration away from insecure deserialization methods because of how darn convenient they were, so it continued to be a problem long after it was well understood that things like pickle were a bad idea.
See https://en.wikipedia.org/wiki/Log4Shell , but also historically the mess that is pickling/unpickling in Python (see the big scary warning at the top of https://docs.python.org/3/library/pickle.html#pickle-python-... ), and more broadly any dynamic language that exposes `eval` in any capacity.
For many years, these were the most widespread serverside RCE vulnerabilities; Rails YAML might be the best-known, but there were a bunch of different variants in Java serialization, and a whole cottage subfield of vulnerability research deriving different sequences of objects/methods to bounce deserializations through. It was a huge problem, and my perception is that it sort of bled into SSRF (now the scariest vulnerability you're likely to have serverside) via XML deserialization.
Elixir is "more secure" than Go due to its isolated processes, functional processing, and immutable data.
Given the enormity of Elixir's runtime, that seems extremely unlikely. The kinds of bugs you expect to see in interpreted/VM code are different than those in compiled languages like Rust; someone is going to find memory corruption, for instance, when you index exactly the right weird offset off a binary, or do something weird with an auto-promoted bignum. We still find those kinds of bugs in mainstream interpreted languages built on memory-unsafe virtual machines and interpreters.
I'm not saying Elixir is insecure; far from it. It's a memory-safe language. Just, it would be a weird language slapfight to pick with a compiled language.
My comment isn't about compiled vs. bytecode languages. It's about memory management. For example:
• In Elixir, each process runs in isolation, has its own heap, and prevents one process from directly accessing or corrupting the memory of another process. In contrast, Goroutines share the same address space, which means that a bug in one goroutine can potentially corrupt the shared memory and affect other code.
• Elixir uses immutable data structures by default, so nothing can be changed in place. Go, on the other hand, allows mutable state, which can lead to race conditions if not managed correctly. In other words, Elixir is inherently thread safe and Go is not.
• Elixir uses a generational garbage collector with per-process heaps, meaning that the garbage collection of one process can't impact another process. In contrast, Go uses a mark-sweep garbage collector across its entire memory space. This can cause global pauses that can open a window for denial-of-service attacks.
• Elixir uses supervisor processes to monitor operational processes and restart them if they crash. Go's error handling can lead to memory leaks and other undefined behavior if not carefully managed.
• Elixir inherently protects against race conditions, whereas Go relies on tools like the race detector and developer onus to avoid them.
No.
Ironically, a flip side of the complaints about how Go lacks power is that a lot of the "standard" security vulnerabilities actually become harder to write. The most obvious one is lacking the "eval" that a dynamic language has; more subtle ones include things like, there is no way to take a string and look up a type or a method in the runtime, so things like the Ruby YAML vuln are not assisted by the language level. To write something like that into Go, you'd have to actually write it in. Though you can, if you try hard enoough.
But, as sibling comments point out, nothing stops you from writing an SQL injection. Command injections are inhibited by the command only taking the "array of strings" form of a command, with no "just pass me a string and we'll do shell things to it" provided by the language, but I've dispatched multiple questions about how to run commands correctly in Go by programmers who managed to find []string{"bash", "-c", "my command with user input from the web here"}, so the evidence suggests this is still plenty easy enough to write. Putting the wrong perms or no perms on your resources is as easy as anything else; no special support for internal security (compare with E lang and capabilities languages). And the file access is still based on file names rather than inodes, so file-based TOCTOUs are the default in Go (just like pretty much everywhere else) if you aren't careful. It comes with no special DOS protection or integrated WAF or anything else. You can still store passwords directly in databases, or as their MD5 sums. The default HTML templating system is fairly safe but you can still concatenate strings outside of the template system and ship them out over an HTTP connection in bad ways. Not every race condition is automatically a security vulnerability, but you can certainly write race conditions in Go that could be security vulnerabilities.
I'd say Go largely lacks the footguns some other languages have, but it still provides you plenty of knives you can stab yourself with and it won't stop you.
I've been running govulncheck against my repos for a while, and I have seen some real vulnerabilities go by that could have affected my code, but rather than "get arbitrary execution" they tend to be "didn't correctly escape output in some particular edge case", which in the right circumstances can still be serious, but is still at least less concerning than "gets arbitrary execution".
> I'd say Go largely lacks the footguns some other languages have
With the glaring exception of "I forgot to check the error code", which you need a linter (e.g. as provided by golangci-lint) for. It's critically important for security that you know whether the function you just called gave you a meaningful result! Most other languages either have sum types or exceptions.
No it's not. This is what I meant, cross-thread, when I suggested being wary of arguments trying to draw significant distinctions between memory-safe-language X and memory-safe-language Y. Error checking idioms and affordances have profound implications for correctness and for how you build and test code. Programmers have strong preferences. But those implications have only incidental connections to security, if any. Nevertheless "security" is a good claim to throw into a "my language is better" argument.
I don't even use Golang, I maybe read two Golang repos a year, I find these errors in almost every repo I look at (probably because of the selection effect: I only look at the code for tools I find bugs in). One of them I remember was a critical vulnerability of exactly this form, so :shrug: Perhaps I'm just grotesquely unlucky in the Golang projects I see, but that makes maybe 10% of the Golang error-handling bugs I've found to be security bugs.
Mmm, that's fair. I tend to forget about it because it's not something I personally struggle with but that doesn't mean it's not a problem.
I'd still rate it well below a string eval or a default shell interface that takes strings and treats them like shell does. You assert down below that you've seen this lead to a critical vulnerability and I believe you, but in general what happens if you forget to check errors is that sooner or later you get a panic or something else that goes so far off the rails that your program crashes, not that you get privs you shouldn't. As I say in another comment, any sort of confusing bit of code in any language could be the linchpin of some specific security vulnerability, but there are still capabilities that lead to more security issues than some other capabilities. Compared to what I've seen in languages like Perl this is still only "medium-grade" at best.
And I'm not trying to "defend" Go, which is part of why I gave the laundry list of issues it still has. It's just a matter of perspective; even missing the odd error check here or there is just not the same caliber problem as an environment where people casually blast user-sourced input out to shell because the language makes it easier than doing it right.
(Independent of language I consider code that looks like
operation = determineOperation()
if !canIDoOperation(operation) {
// handle failures
}
doOperation(operation)
I think it's a reasonable observation but it isn't a fair comparative security criteria. The subtext behind error checking critiques is that languages with idiomatic sum type returns avoid authz vulnerabilities, in the same way that memory-safety in Go eliminates UAF vulnerabilities. But authz vulnerabilities are endemic to the mainstream sum type languages, too; they're much more complicated as a bug class than just "am I forced to check return codes before using return values".
Sum types are one of the few things I miss when switching from other languages back to Go. I like them a lot. But I think they're wildly overstated as a security feature. Sum type languages have external tooling projects to spot authz vulnerabilities!
> "I forgot to check the error code"
How is it that people "forget to check errors" but not other types, even though they are all just 1s and 0s? Or, to put it another way, why do programmers forget how to program as soon as they see the word "error"?
It seems to be a real phenomenon, but I can't make sense of how it can happen. It is not some subtle thing like misspelling a word in a string constant. You are leaving out entire functionality from your application. It is almost on the order of forgetting to add the main function.
I would think it's a mix of not being sure exactly what to do on error and not wanting to undergo the effort of writing error logic. You have to switch from "basic skeletal structure of the program" to "cover all bases", which isn't simple. So it's easy to have no or rudimentary error handling, and by the time you want to change it, it's hard to change. Like, "malloc can fail, but it would be a lot easier right now if I assume it won't".
One thing to note about data races in Go is that the safe Go subset is only memory-safe if you do not have data races. The original post alludes to that because it mentions the race detector. This situation is different from Java where the expected effect of data races on memory safety is bounded (originally due to the sandbox, now bounded effects are more of QoI aspect). Data races in Java are still bad, and your code may go into infinite loops if you have them (among other things), but they won't turn a long into an object reference.
The good news is that the Go implementation can be changed to handle data races more gracefully, with some additional run-time overhead and some increase in compiler complexity and run-time library complexity, but without language changes. I expect this to happen eventually, once someone manages to get code execution through a data race in a high-profile Go application and publishes the results.
These arguments would be more compelling if they came with actual exploitable vulnerabilities --- in shipped code, with real threat models --- demonstrating them, but of course the lived experience of professional programmers is that non-contrived Go memory safety vulnerabilities are so rare as to be practically nonexistent.
About footguns, I'd like to mention an important one: in Go, it's hard to deserialize data wrongly. It's not like python and typescript where you declare your input data to be one thing, and then receive something else. It's a feature that makes server code, which after all is Go's niche, considerably more reliable.
Safety isn't 0% or 100%, and the more a language offers, the better the result. Go is performant, safe, and fairly easy to read and write. What else do you need (in 99.9% of the cases)?
> It's not like python and typescript where you declare your input data to be one thing, and then receive something else
In Python that's likely to lead to a runtime TypeError, not so much in TS since at runtime it's JS and JS is weakly typed.
Besides, Python has Pydantic which everyone should really should be using. :-)
Only if you use a deserializer that's tied to your classes, and not put everything in a dict. And then only if the data encounters an operation that doesn't accept it. But many operations accept e.g. strings, arrays, ints and floats. Is there even an operation that throws a TypeError when using a float instead of int?
Pydantic only helps (AFAIK) when you're letting it help, and you actually use the correct type information. It's not difficult to use, but it's optional, and can be faulty.
I was referring specifically to security footguns like having a string eval. While one can construct code in which that is the critical error that led to a security vulnerability, that can be said about any confusing bit of code in any language, and I would not judge that to especially lead to security issues.
> i thought it was quite secure and stable generally
It is, but security isn't a "given" anywhere. XSS, SQL Injection, Dependency etc can be done by any language, regardless of how "secure" it claims to be.
The headings are all pretty general (versioning, tooling, scanning, testing) but the contents are Go-specific.
It's a pretty good article IMO and could/should be replicated for other languages as well.
Reminds me of when SQL injection was the hot security problem, which was mainly caused by PHP, but not the language itself but reams and reams on low quality online tutorials trying to keep things simple by just concatenating GET parameters straight into an SQL query.
It has essentially the same security properties of all the modern non-C-languages (ie, C, C++, ObjC), with the added bonus of largely being designed after the deserialization pandemic that especially hit Java, Python, and Ruby. ~All these modern languages are fine for security (though: be careful with serialization formats in anything but Go and Rust).
Arguably, Rust and Go are the two "most secure" mainstream languages, but in reality I don't think it much matters and that you're likely to have approximately the same issues shipping in Python as in Rust (ie: logic and systems programming issues, not language-level issues).
Be wary of anyone trying to claim that there are significant security differences between any of the "modern" or "high-level" languages. These threads inexorably trend towards language-warring.