Downloading binaries from well-known providers is the easiest way to install new software. After all, building software from source is a chore — it requires both time and technical expertise. But how do we know that we aren’t installing something malicious from these providers?
Typically, we trust these binaries because we trust the provider. We believe that they were built from trusted sources, in a trusted computational environment, and with trusted build instructions. But even if the provider does everything transparently and in good faith, the binaries could still be anything if the provider’s system is compromised. In other words, the build process requires trust even if all build inputs (sources, dependencies, build scripts, etc…) are known.
Overcoming this problem is hard — after all, how can we verify the output of arbitrary build inputs? Excitingly, the last years have brought about ecosystems such as Nix, where all build inputs are known and where significant amounts of builds are reproducible. This means that the correspondence between inputs and outputs can be verified by building the same binary multiple times! The r13y project, for example, tracks non-reproducible builds by building them twice on the same machine, showing that this is indeed practical.
But we can go further, and that’s the subject of this blog post, which introduces Trustix, a new tool we are working on. Trustix compares build outputs for given build inputs across independent providers and machines, effectively decentralizing trust. This establishes what I like to call build transparency because it verifies what black box build machines are doing. Behind the scenes Trustix builds a Merkle tree-based append-only log that maps build inputs to build outputs, which I’ll come back to in a later post. This log can be used to establish consensus whether certain build inputs always produce the same output — and can therefore be trusted. Conversely, it can also be used to uncover non-reproducible builds, corrupted or not, on a large scale.
The initial implementation of Trustix, and its description in this post are based on the Nix package manager. Nix focuses on isolated builds, provides access to the hashes of all build inputs as well as a high quantity of bit-reproducible packages, making it the ideal initial testing ecosystem. However, Trustix was designed to be system-independent, and is not strongly tied to Nix.
The development of Trustix is funded by NLNet foundation and the European Commission’s Next Generation Internet programme through the NGI Zero PET (privacy and trust enhancing technologies) fund. The tool is still in development, but I’m very excited to announce it already!
Most Linux package managers use a very simple signature scheme to secure binary distribution to users. Some use GPG keys, some use OpenSSL certificates, and others use some other kind of key, but the idea is essentially the same for all of them. The general approach is that binaries are signed with a private key, and clients can use an associated public key to check that a binary was really signed by the trusted entity.
Nix for example uses an ed25519-based key signature scheme and comes with a default hard-coded public key that corresponds to the default cache.
This key can be overridden or complemented by others, allowing the use of additional caches.
The list of signing keys can be found in
The default base64-encoded ed25519 public key with a name as additional metadata looks like this:
trusted-public-keys = cache.nixos.org-1:6NCHdD59X431o0gWypbMrAURkbJ16ZPMQFGspcDShjY=
Now, in Nix, software is addressed by the hash of all of its build inputs (sources, dependencies and build instructions). This hash, or the output path is used to query a cache (like https://cache.nixos.org) for a binary.
Here is an example:
The hash of the
hello derivation can be obtained from a shell with
$ nix-instantiate '<nixpkgs>' --eval -A hello.outPath
Here, behind the scenes, we have evaluated and hashed all build inputs that the
hello derivation needs (
.outPath is just a helper).
This hash can then be used to query the default Nix binary cache:
$ curl https://cache.nixos.org/w9yy7v61ipb5rx6i35zq1mvc2iqfmps1.narinfo
References: 9df65igwjmf2wbw0gbrrgair6piqjgmi-glibc-2.31 w9yy7v61ipb5rx6i35zq1mvc2iqfmps1-hello-2.10
Besides links to the archive that contains the compressed binaries, this response includes two relevant pieces of information which are used to verify binaries from the binary cache(s):
NarHashis a hash over all Nix store directory contents
Sigis a cryptographic signature over the
With this information, the client can check that this binary really comes from the provider’s Nix store.
- First, if the key used by cache.nixos.org is ever compromised, all builds that were ever added to the cache can be considered tainted.
- Second, one needs to put either full trust or no trust at all in the build machines of a binary cache — there is no middle ground.
- Finally, there is no inherent guarantee that the build inputs described in the Nix expressions were actually used to build what’s in the cache.
Trustix aims to solve these problems by assembling a mapping from build inputs to (hashes of) build outputs provided by many build machines.
Instead of relying on verifying packages signatures, like the traditional Nix model does, Trustix only exposes packages that it considers trustworthy. Concretely, Trustix is configured as a proxy for a binary cache, and hides the packages which are not trustworthy. As far as Nix is concerned, the package not being trustworthy is exactly as if the package wasn’t stored in the binary cache to begin with. If such a package is required, Nix will therefore build it from source.
Trustix doesn’t define what a trustworthy package is. What your Trustix considers trustworthy is up to you. The rules for accepting packages are entirely configurable. In fact, in the current prototype, there isn’t a default rule for packages to count as trustworthy: you need to configure trustworthiness yourself.
With this in mind, let’s revisit the above issues
In Trustix, if an entity is compromised, you can rely on all other entities in the network to establish that a binary artefact is trustworthy. Maybe a few hashes are wrong in the Trustix mapping, but if an overwhelming majority of the outputs are the same, you can trust that the corresponding artefact is indeed what you would have built yourself.
Therefore you never need to invalidate an entire binary cache: you can still verify the trustworthiness of old packages, even if newer packages are built by a malicious actor.
In Trustix, you never typically consider any build machine to be fully trusted. You always check their results against the other build machines. You can further configure this by considering some machines as more trusted (maybe because it is a community-operated machine, and you trust said community) or less trusted (for instance, because it has been compromised in the past, and you fear it may be compromised again).
Moreover, in the spirit of having no single point of failure, Trustix’s mapping is not kept in a central database. Instead every builder keeps a log of its builds; these logs are aggregated on your machine by your instance of the Trustix daemon. Therefore even the mapping itself doesn’t have to be fully trusted.
In Trustix, package validity is not ensured by a signature scheme. Instead Trustix relies on the consistency of the input to output mapping. As a consequence, the validity criterion, contrary to a signature scheme, links the output to the input. It makes it infeasible to pass the build result of input
Ias a build result for input
J: it would require corrupting the entire network.
A system like Trustix will not work well with builds that are non-reproducible, which is a limitation of this model. After all, you cannot reach consensus if everyone’s opinions differ.
However, Trustix can still be useful, even for non-reproducible builds! By accumulating all the data in the various logs and aggregating them, we can track which derivations are non-reproducible over all of Nixpkgs, in a way that is easier than previously possible. Whereas the r13y project builds a single closure on a single machine, Trustix will index everything ever built on every architecture.
I am very excited to be working on the next generation of tooling for trust and reproducibility, and for the purely functional software packaging model pioneered by Nix to keep enabling new use cases. I hope that this work can be a foundation for many other applications other than improving trust — for example, by enabling the Nix community to support new CPU architectures with community binary caches.
Please check out the code at the repo or join us for a chat over in
#untrustix on Freenode.
And stay tuned — in the next blog post, we will talk more about Merkle trees and how they are used in Trustix.