Show HN: Regolith – Regex library that prevents ReDoS CVEs in TypeScript
github.comI wanted a safer alternative to RegExp for TypeScript that uses a linear-time engine, so I built Regolith.
Why: Many CVEs happen because TypeScript libraries are vulnerable to Regular Expression Denial of Service attacks. I learned about this problem while doing undergraduate research and found that languages like Rust have built-in protection but languages like JavaScript, TypeScript, and Python do not. This library attempts to mitigate these vulnerabilities for TypeScript and JavaScript.
How: Regolith uses Rust's Regex library under the hood to prevent ReDoS attacks. The Rust Regex library implements a linear-time Regex engine that guarantees linear complexity for execution. A ReDoS attack occurs when a malicious input is provided that causes a normal Regex engine to check for a matching string in too many overlapping configurations. This causes the engine to take an extremely long time to compute the Regex, which could cause latency or downtime for a service. By designing the engine to take at most a linear amount of time, we can prevent these attacks at the library level and have software inherit these safety properties.
I'm really fascinated by making programming languages safer and I would love to hear any feedback on how to improve this project. I'll try to answer all questions posted in the comments.
Thanks! - Jake Roggenbuck
Another thought: since backreferences and lookaround are the features in JS regexes which _cause_ ReDOS, why not just wrap vanilla JS regex, rejecting patterns including them? Wouldn’t that achieve the same result in a simpler way?
As someone who's been saved by look-aheads in many a situation, I'm quite partial to the approach detailed in [0]: use a regex library that checks for a timeout in its main matching loop.
This lets you have full backwards compatibility in languages like Python and JS/TS that support backreferences/lookarounds, without running any risk of DOS (including by your own handrolled regexes!)
And on modern processors, a suitably implemented check for a timeout would largely be branch-predicted to be a no-op, and would in theory result in no measurable change in performance. Unfortunately, the most optimized and battle-tested implementations seem to have either taken the linear-time NFA approaches, or have technical debt making timeout checks impractical (see comment in [0] on the Python core team's resistance to this) - so we're in a situation where we don't have the best of both worlds. Efforts like [1] are promising, especially if augmented with timeout logic, but early-stage.
[0] https://stackoverflow.com/a/74992735
[1] https://github.com/fancy-regex/fancy-regex
Thanks for the feedback! Yea, you're totally right. I'll update the docs to reflect this.
> why not just wrap vanilla JS regex, rejecting patterns including them?
Yea! I was thinking about this too actually. And this would solve the problem of being server side only. I'm thinking about making a new version to do just this.
For a pattern rejecting wrapper, how would you want it to communicate that an unsafe pattern has been created.
> how would you want it to communicate that an unsafe pattern has been created
Given this is running on a JS engine, an error should be thrown much as an error will be thrown on syntactically invalid regexes in the source. Sadly, this can't happen a module load / compile time unless a build step is implemented, complicating the matter; but on the other hand, a regex that is never used can also not be a problem. The build step could be stupidly simple, such as relying on an otherwise disallowed construction like `safe/[match]*me/`.
> Another thought: since backreferences and lookaround are the features in JS regexes which _cause_ ReDOS,
This is incorrect. Other features can cause ReDOS.
The other problematic features have linear time algorithms that could be used, but generally are not used (i assume for better average case performance)
Right. An example regex that can be slow is CSV parsing [1]:
.*,.*,.*,.*,.* etc.
I believe a timeout is a better (simpler) solution than to try to prevent 'bad' patterns. I use this approach in my own (tiny, ~400 lines) regex library [2]. I use a limit at most ~100 operations per input byte. So, without measuring wall clock time, which can be inaccurate.
[1]: https://stackoverflow.com/questions/2667015/is-regex-too-slo... [2]: https://github.com/thomasmueller/bau-lang/blob/main/src/test...
Yea, I can expand the description to include other features that may cause issues. Here is an example of how counting can cause latency too: https://www.usenix.org/system/files/sec22fall_turonova.pdf
A static analysis of the regular expression has the advantage that many problematic cases can be caught at compile time. Not all: the expression is sometimes generated at runtime. There's also a risk that too many cases might be rejected.
Did you consider a hybrid approach, where static analysis is used to get compiler warnings / errors, combined with limiting the number of operations at runtime? An API change might be needed, so instead of just "matches(regex)" a new method might be needed with a limit "matches(regex, opCountLimit)" and a different return type (true / false / timeout).
Totally agree -- those are two incredibly useful features of regex[1][2] that are often effectively irreplaceable. I could see this being a straightforward tradeoff for applications that know for sure they don't need complex regexes but still must accept patterns written by the client for some reason(?), but otherwise this seems like a hell of a way to go to replace a `timeout` wrapper.
This paragraph in particular seems very wholesome, but misguided in light of the tradeoff:
Honestly, the biggest shock here for me is that Rust doesn't support these. Sure, Python has yet to integrate the actually-functional `regex`[3] into stdlib to replace the dreadfully under-specced `re`, but Rust is the new kid on the block! I guess people just aren't writing complex regexes anymore...[4]RE:simpler wrapper, I personally don't see any reason it wouldn't work, and dropping a whole language seems like a big win if it does. I happened to have some scaffolding on hand for the cursed, dark art of metaregexes, so AFAICT, this pattern would work for a blanket ban: https://regexr.com/8gplg Ironically, I don't think there's a way to A) prevent false-positives on triple-backslashes without using lookarounds, or B) highlight the offending groups in full without backrefs!
[1] https://www.regular-expressions.info/backref.html
[2] https://www.regular-expressions.info/lookaround.html
[3] https://github.com/mrabarnett/mrab-regex
[4] We need a regex renaissance IMO, though the feasibility of "just throw a small fine-tuned LLM at it" may delay/obviate that for users that can afford the compute... It's one of the OG AI concepts, back before intuition seemed possible!
It's very, very weird to speak of TypeScript and JavaScript as two separate languages here.
There is no TypeScript RegExp, there is only the JavaScript RegExp as implemented in various VMs. There is no TypeScript VM, only JavaScript VMs. And there are no TypeScript CVEs unless it's against the TypeScript compiler, language server, etc.
This bothered me too; I think it should be re-framed as a difference between different JS engines (NodeJS vs Deno) because that's what happening. TS is just a fancy way to write JavaScript after all and a lot of TS source code gets literally erased in order to obtain runnable JS. Deno has been able to execute pure JavaScript from day one while NodeJS can now also execute a subset of TS without a visible translation step, all of which makes framing NodeJS vs Deno as "JavaScript vs TypeScript" even weirder.
I was also confused first, I thought it is against the TypeScript compiler, too.
Deno and Node use V8 under the hood, so the code should essentially run on the same VM regardless.
Magic-RegExp aims to create a compiled away, type-safe, readable RegEx alternative that makes the process a lot easier. https://blog.logrocket.com/understanding-magic-regexp-regexp...
example from blog:
import { createRegExp, exactly, wordChar, oneOrMore, anyOf, } from "magic-regexp";
const regExp = createRegExp(
);console.log(regExp);
/(https?:\/\/)?(www\.)?\w+\.(com|org|io)/gmi
It's great to have a safe options - and it would have been great if the default had been safe.
I think many people are annoyed with ReDos as a bug class. It seems like mostly noise in the CVE trackers, library churn and badge collecting for "researchers". It'd be less of a problem if people stuck to filing CVEs against libraries that might remotely see untrusted input rather than scrambling to collect pointless "scalps" from every tool under the sun that accepts a configuration regex - build tools, very commonly :(
Perhaps you can stop this madness... :)
Even in cases where malicious input could be hit, this bug class is stupid on the client side where the attacker can only attack themselves.
Stored... ReDoS, reflected... ReDoS(??)... [it pained me to type those] (╯°□°)╯︵ ┻━┻
> and it would have been great if the default had been safe.
I totally agree here. Safety can and should be from the language itself.
Perhaps regex is just a bad little language for pattern matching.
I have a foggy recollection of compute times exploding for me on a large regex in .Net code and I used a feature I hadn't seen in JavaScript's RegExp that allowed me to mark off sections of already matched parts of the regular expression that prevented it from backtracking.
Perhaps the answer isn't removing features for linear regex, but adding more features to make it more expressive and tunable?
I have another nitpick and I hope it's a constructive one.
You provide some performance figures; unfortunately they are caught in an image, no doubt to enable color-coding the results. IMHO that's not ideal, tables should be pure text, even if only for accessibility with screen readers. There are other means to provide guiding highlights, like red and green Unicode code points. GitHub is somewhat unique in its strict policy to remove almost any kind of user-side styling from the READMEs, but providing a "photo snapshot" of parts of the README just to get some colors does not feel like the right solution.
Next thing are the actual figures you provide: those range from 11.822µs (best) to 56.534s (worst). They are displayed as
making them look almost like the worst performer took around five times as long as the best performer—until you realize there's a mu in there.I must say that personally I remove this so-called "human-readable" format almost wherever I can because I find it not human-readable at all. To me a good numerical display should try and keep the decimal points on top of each other, avoid too many non-significant digits, use digit grouping, and, crucially, use a single unit throughout. With those constraints, the two figures become
which incidentally obviates much of the need to color code anything. One could discuss what unit—ns, µs, ms, s—is the most appropriate in the given context but, generally, I feel that big numbers should stand out as having many digits.Nobody will pick this up because it's much too elaborate and idiosyncratic for this conformist world, but I just love the 'Japanese' way of formatting where you do digit grouping with the SI prefixes, so one hundred and twenty-five meters is 125m, but one thousand one hundred and twenty-five meters doesn't become 1,125m, nor is it 1.125km, but rather 1k125m (preferrably with a thin space as in 1k_125m—imagine a thin non-breakable space there that HN wouldn't let me render).
1G 255M 368k 799B, what's not to like?
FWIW there's also https://github.com/slevithan/regex "JS regexes future. A template tag for readable, high-performance, native JS regexes with extended syntax, context-aware interpolation, and always-on best practices". From the docs:
Highlights include support for insignificant whitespace and comments, atomic groups and possessive quantifiers (that can help you avoid ReDoS), subroutines and subroutine definition groups (that enable powerful subpattern composition), and context-aware interpolation of regexes, escaped strings, and partial patterns.