Security Issues in Matrix's Olm Library
soatok.blog
soatok.blog
This soesn't bode well for it as an option for secure messaging. Wouldn't be a problem if I didn't see people suggesting it as one.
if you actually look at % of impacted clients, it’s tiny.
meanwhile, it is very unclear that any sidechannel attack on a libolm based client is practical over the network (which is why we didn’t fix this years ago). After all, the limited primitives are commented on in the readme and https://github.com/matrix-org/olm/issues/3 since day 1.
Edit: but also if you're going to argue that it's unclear that these issues are remotely exploitable, it'd be helpful to discuss why - are there external constraints that ratelimit them such that the number of packets required is infeasible in any length of time? Is all the affected key material ephemeral and rotated before it's realistic to get a large enough sample? Just vibes?
I was very clear in my methodology: I grabbed everything tagged with that GitHub topic, and filtered out projects that were archived or marked as "old".
> meanwhile, it is very unclear that any sidechannel attack on a libolm based client is practical over the network (which is why we didn’t fix this years ago).
This is not an attitude that inspires confidence.
It's one thing to accidentally ship cryptography code with side-channels. It's another entirely to knowingly do so, and not fix it sooner.
What the fuck.
it's pretty much any client that has E2EE and is not Element. in my earlier quick look at Alpine Linux repos this included: Fluffychat, Nheko, gomuks, NeoChat, Chatty, weechat-matrix. then i already know that still didn't catch at least Cinny, which also is in Alpine, but includes libolm as wasm.
it's literally all "Featured clients" listed on Matrix.org except Element and Element X.
i'll put it another way. if anything other than New Vector is "tiny" and doesn't matter, is Matrix a "rich ecosystem"?
e.g.: https://github.com/matrix-org/matrix-python-sdk (dependents doesn't work on this python project I guess)
or matrix-org/olm for JS
or matrix-org/matrix-js-sdk
or matrix-nio/matrix-nio (based on an old standard written by matrix, that matrix stayed compatible with rather than deprecating)
the inability to address the third issue (a security issue, no less) in 7 years is an impressive world record in incompetent messenger design
For example, if I add a sleep after a non-constant-time operation to ensure it always takes 1s, would that prevent timing attacks? At least with this you can use a faster algorithm, and let the OS do useful work with the rest of the time.
Practically? It's a whole lot harder. Having done exactly this in a non-cryptography related situation (sleeping a timer while trying to get time bins as close as possible to a fixed size for binning events without special hardware), you run into all manner of interesting sources of variability. Using hardware is often far simpler if it's available.
Back in a cryptography context, it is exponentially harder yet because you now have to worry about what other side channels are exposing your timing information. For example, if you're "letting the OS do useful work with the rest of the time" - what is it doing? If it's off doing anything else that I can observe, then I can time that instead. And we're back to square one.
Eliminating side channel leaks is entirely non-trivial.
Wouldn't these kinds of leaks always be present though? The scheduler can swap your process out at any time, regardless of whether it explicitly calls sleep() or not, so even with a constant time algorithm you'll have some variability.
The problem is variability based on a secret input.
To accomplish this, you would need a high-resolution timer that runs before the operation, after the operation, and then you can subtract the two and wait. And maybe that might work.
But you're not running in kernel space.
The resolution of timing information you'd get from this tactic would be noisy, and may reintroduce the signal you were trying to hide. Especially if you're running on multiple threads or physical processors, and aren't careful enough to constrain the operations and timings to the same core.
All it will do is slow your software down and maybe not actually help.
And that's the best case scenario!
Better to just use constant-time algorithms.
start = gettime()
variable_time_crypto_operation()
end = gettime()
sleep(1sec - (end - start)) // Use a loop if necessary here
If the operation takes a couple ms and the sleep was 1sec, then how much information would realistically leak here? Sure the sleep might not be perfect, but I'd imagine the actual timing difference would get lost just in how much longer the sleep is.(I say virtually, because even constant time crypto isn't bulletproof - GoFetch, a recent Apple M-series CPU vulnerability inadvertently broke the "constant" part because of a quirk of the prefetcher. Side channels are hard, no need to make it harder.)
What matters is that the variance of execution time, which memory addresses are accessed, etc. is independent of any secret inputs.
https://soatok.blog/2020/08/27/soatoks-guide-to-side-channel...