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google
wuffs
C2017–2026
google / wuffs

wuffs

Wrangling Untrusted File Formats Safely

76Distinct people
121Mentions
0Explicit recommenders
4.9KGitHub stars
REPOSITORY AT A GLANCE

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What it is

Wrangling Untrusted File Formats Safely

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

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Also in these discussions

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This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 6:59:22 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year121 dated mentions

Observed mentions: 2017-11-16 05:54:56 UTC to 2026-10-29 00:33:25 UTC.

01020302017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 11 mentions; 4 submissions, 7 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 2 mentions; 2 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 6 mentions; 2 submissions, 4 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 28 mentions; 5 submissions, 23 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 20 mentions; 0 submissions, 20 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 16 mentions; 2 submissions, 14 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 14 mentions; 2 submissions, 12 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 12 mentions; 0 submissions, 12 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 11 mentions; 0 submissions, 11 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC1147
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC110
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC220
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC624
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC28523
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC20020
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC16214
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC14212
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC12012
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC11011

What Hacker News says

16 sources
It could author its format parsers in https://github.com/google/wuffs, and make them BSD-like open source to maximize adoption. An even bigger change: It could allow users to choose their iMessage client freely. Why not open up the protocol? I’m sure a security focused client would be popular and in the grand scheme of things easy to author. Perhaps they could open up more of the OS and apps. Perhaps their claims about the security of users and the App Store is kind of BS.
In Operation Triangulation: What you get when attack iPhones of researchers
> Chrome doesn't yet support a memory safe language In addition to the safety features you mentioned, Chrome supports Wuffs, a memory safe programming language that supports runtime correctness checks, designed for writing parsers for untrusted files. I don’t think it existed at the start of the webp project either, but that’s what I would expect the webp parser to be written in, over Rust or a garbage collected language. https://github.com/google/wuffs
In Google assigns a CVE for libwebp and gives it a 10.0 score
Specifically, since performance is crucial for this type of work, it should be written in WUFFS. WUFFS doesn't emit bounds checks (as Java does and as Rust would where it's unclear why something should be in bounds at runtime) it just rejects programs where it can't see why the indexes are in-bounds. https://github.com/google/wuffs You can explicitly write the same checks and meet this requirement, but chances are since you believe you're producing a high performance piece of software which doesn't need checks you'll instead be pulled up by the fact the WUFFS tooling won't accept your code and discover you got it wrong. This is weaker than full blown formal verification, but not for the purpose we care about in program safety, thus a big improvement on humans writing LGTM.
In The WebP 0day
> parsing encoded files tends to introduce vulnerabilities If we are talking about binary formats, now there are systematic solutions like https://github.com/google/wuffs that protect against vulnerabilities. But SQLite is not just a format - it's an evolving ecosystem with constantly added features. And the most prominent issue was not even in core, it was in FTS3. What will SQLite add next? More json-related functions? Maybe BSON? It is useful, but does not help in this situation. Regarding traces, there are many forensics tools and even books about forensic analysis of SQLite databases. In well-designed format such tools should not exist in the first place. This is hard requirement: if it requires rewriting the whole file - then so be it.
In What if OpenDocument used SQLite? (2014)
I agree that Wuffs [1] would have been a very good alternative! ...if it can be made more general. AFAIK Wuffs is still very limited, in particular it never allows dynamic allocation. Many formats, including those supported by Wuffs the library, need dynamic allocation, so Wuffs code has to be glued with unverified non-Wuffs code [2]. This approach only works with simpler formats. [1] https://github.com/google/wuffs/blob/main/doc/wuffs-the-lang... [2] https://github.com/google/wuffs/blob/main/doc/note/memory-sa...
In Chrome: Heap buffer overflow in WebP
I hadn’t seen wuffs before. Interesting approach to writing safe libraries: Wuffs is not a general purpose programming language. It is for writing libraries, not programs. Wuffs code is hermetic and can only compute (e.g. convert "compressed bytes" to "decompressed bytes"). It cannot make any syscalls (e.g. it has no ambient authority to read your files), implying that it cannot allocate or free memory (and is therefore trivially safe against things like memory leaks, use-after-frees and double-frees). https://github.com/google/wuffs
In Removing garbage collection from the Rust language (2013)
There are efforts to do that, notably https://github.com/google/wuffs RLBox is another interesting option that lets you sandbox C/C++ code. I think the main reason is that security is one of those things that people don't care about until it is too late to change. They get to the point of having a fast PDF library in C++ that has all the features. Then they realise that they should have written it in a safer language but by that point it means a complete rewrite. The same reason not enough people use Bazel. By the time most people realise they need it, you've already implemented a huge build system using Make or whatever.
In NSO group iPhone zero-click, zero-day exploit captured in the wild
For this work we don't need a general purpose language like Rust. WUFFS is a special purpose language for Wrangling Untrusted File Formats Safely: WUFFS pays a high price (loss of generality) for a valuable reward (compile time assurance of memory safety, very high performance) and it makes no sense for people to hand roll this sort of software in C when they should use WUFFS. https://github.com/google/wuffs
In libjpeg-turbo 3.0 has been released, and why there may never be a 3.1
Thanks for the feedback. I'll add better build instructions. If you just want the jsonptr program, instead of everything in the repo (the Wuffs compiler (written in Go), the Wuffs standard library (written in Wuffs), tests and benchmarks (written in C/C++), etc) then you can use "build-example.sh" instead of "build-all.sh". ./build-example.sh example/jsonptr For example/jsonptr, that should work "out of the box", with no dependencies required (other than a C++ compiler). For e.g. example/sdl-imageviewer, you'll also need the SDL library. Alternatively, you could just invoke g++ directly, as described at the very top of the "More details are at [link]" page in the grand-parent comment. $ git clone https://github.com/google/wuffs.git $ g++ -O3 -Wall wuffs/example/jsonptr/jsonptr.cc -o my-jsonptr
In JJ: JSON Stream Editor
dalke·May 22, 2023Submission

Ask HN: Wuffs Examples for Text Files?

I finally have time to try out wuffs (https://github.com/google/wuffs), which I first heard about here on HN. I want to develop a low-level tokenizer for SDF files, a small-molecule structure file format which started in the 1970s, with lots of, let's call it 'heritage'. Wuffs' ability to process near the data, with a coroutine-like interface, seems like a good fit. I got the "hello-wuffs-c" example to work, which took some tinkering (see wuffs issue #24). That reads a single string and returns an unsigned int. Despite looking at the example implementations for json parsing, I can't figure out how to go from that example to something which handles multiple input buffer blocks, with string tokens that might straddle two buffers. Nor could I find third-party examples of people using wuffs-the-language beyond basic experimentation for simple
Read the rest
binary data. The handful of non-trivial examples I found only used wuffs-the-library, as a vendored component in a larger project. The lack of wuffs-the-language use after several years seems a strong sign that I shouldn't look to wuffs for my project. Given the 'workarounds' in #24 are still present after 3 years, it doesn't even seem that widely internally at Google. Does anyone here have experience to share, or pointers to related projects?
1 points · Open discussion
Here's an off-topic answer. Depends on what you want your toy language to do and what sort of runtime support you'd like to lean on. JVM is pretty good for a lot of script-y languages, does impose overhead of having a JVM around. Provides GC, Threads, Reflection, consistent semantics. Tons of tools, libraries, support. WebAssembly is constrained (for running-in-a-browser safety reasons) but then you get to run your code in a browser, or as a service, etc, and Other People are working hard on the problem of getting your WA to go fast. That used to be a big reason for using JVM, but it turns out that Security Is Darn Hard. I have used C in the (distant) past as an IL, and that works up to a point, implementing garbage collection can be a pain if that's a thing that you want. C compilers have had a lot of work on them over the years, and
Read the rest
you also have access to some low-level stuff, so if you were E.G. trying to come up with a little language that had super-good performance, C might be a good choice. (See also, [Wuffs](https://github.com/google/wuffs), by Nigel Tao et al at Google). A suggestion, if you do target C -- don't work too hard to find isomorphisms between C's data structures and YourToyLang's data structures. Back around 1990, I did my C-generating compiler for Modula-3, and a friend at Xerox PARC used C as a target for Cedar Mesa, and Hans used it in a lower-level way (so I was mapping between M-3 records and C structs, for example, Hans was not) and the lower-level way worked better -- i.e., I chose poorly. It worked, but lower-level worked better. If you are targeting a higher-level language, Rust and Go both seem like interesting options to me. Both have the disadvantage that they are still changing slightly but you get interesting "services" from the underlying VM -- for Rust, the borrow checker, plus libraries, for Go, reflection, goroutines, and the GC, plus libraries. Rust should get you slightly higher performance, but I'd worry that you couldn't hide the existence of the borrow checker from your toy language, especially if you wanted to interact with Rust libraries from YTL. If you wanted to learn something vaguely publishable/wider-interesting, that question right there ("can I compile a TL to Rust, touch the Rust libraries, and not expose the borrow checker? No+what-I-tried/Yes+this-worked") is not bad. I have a minor conflict of interest suggesting Go; I work on Go, usually on the compiler, and machine-generated code makes great test data. But regarded as a VM, I am a little puzzled why it hasn't seen wider use, because the GC is great (for lower-allocation rates than Java however; JVM GC has higher throughout efficiency, but Go has tagless objects, interior pointer support, and tiny pause times. Go-the-language makes it pretty easy to allocate less.) Things Go-as-a-VM currently lacks: - tail call elimination (JVM same) - don't ever construct a pointer to Object+sizeof(Object) (i.e., to the first byte past the end) (JVM same) - defined semantics for racy programs that don't use atomics (structures can tear; there is a race detector, use it). (JVM same-ish; racy programs suck) - integer overflow checking (JVM same) - consistent conversion from +/-FPInf to integers, - if you're not careful about expressing floating point a+b*c, you'll get the platform multiply-add rounding - signaling/quiet NaN representation follows the platform Some of these are on my list of Would-Be-Nice to fix, but that doesn't mean they will happen, because there are O(zero) people using Go as a VM, as far as I know, so their problems have zero weight. Tail-call-elimination in particular would be hard, and I see no substantial benefit in solving the pointer-past-end problem (it's a minor issue in our own code generation, and we deal with it).
In FaaS in Go with WASM, WASI and Rust

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