The essential question is whether he would be able to use OpenSSL implementation without changing internals of Botan or his own zero knowledge crypto system implementation. In modular libraries this is less of an issue as itself generally implies working with abstract groups and writing wrappers or implementations outside.
If you assemble your own system out of random components found on the web, there is a good chance that one of those components will either disappear or stop being supported. A single monolithic library is much likely to survive once it gets a critical mass of developers.
Regarding supply chain attacks one of the important points is to establish consensus on dependency versions and their hashes via distributed replication or transparency logs (like in go). The big monolith then does not offer any advantages in this aspect.
(2) How come "simply check the specs for inputs and outputs to remain unchanged" helps with trustworthiness or gives _any_ assurance of the incorrect implementations? (unless it's agda/coq, but we are not talking about them). The specs can say whatever, and yet the program might full of bugs.
(3) How do you select a library in an area you are not familiar with? It seems you know cryptography well, so let's choose a different topic - what would you examine to find, say, good audio capture library, or a good OpenGL wrapper? For me, I'd look at popularity (by number of reverse dependencies in my repo, mentions on the web, or github stats); liveness (activity in repo and mailing list, open/closed bugs); general quality (commit history, CI logs if they are public, etc..). All of those would be _vastly_ easier with a single large repo vs tons of smaller one.
(4) Think of few supply chain compromises that come to your mind. How many of those would be prevented by "distributed replication or transparency logs"? I've thought of xz compromise, left-pad pull and Marak's colors.js. _None_ of them would be fixed by "consensus on dependency versions and their hashes". All of them would be fixed if people just kept packages bigger, so that every one has actual CI, release team, and so on.
On the other hand libraries for hashes, encryptions, cryptographic groups, pseudorandom number generators are much more testable on their own. One can take specs and other engineered tests and check that inputs corespond to outputs. The rest is solved via memory safe languages and common sense of not having tests commented out or made special cases for them.
> How do you select a library in an area you are not familiar with?
By either having popularity or by being able to read the code and seeing that there are clear expectations communicated to the user via API or documentation. I wouldn’t consider security much when chosing user facing libraries much, but for network facing libraries popularity would be essential to me.
> All of them would be fixed if people just kept packages bigger, so that every one has actual CI, release team, and so on.
A bunch of small libraries can still be maintained by a large organization. It does not make difference if the are installed seperatelly. However modularity does add the benefit of being able to break into complexity to contributue and also gives more transparency for new users who can see what parts of the library are actually widely tested in the production and which are not and need more care.
Regarding xz, the lesson here is that one should not use programming languages where it’s limitations are deferred to preprocessors and complex build systems that only few can read. Similarly lesson from Log4j is that readability and language base features like string interpolation is much more preferable to having simply popularity.
sic transit gloria mundi or something. :)
I know the layered network protocol design is flawed, but I really like the elegance of the old design where TLS/IPSec/DTLS/WireGuard is just an option you pass to connect() rather than a library you need to pull in and maintain. Windows has something like that and it feels like somewhat of a missed opportunity for the internet.
I think an opaque layer that lets you poke at internals when you decide you know what you're doing is the way to go. Eg. About 10 years ago I implemented certificate pinning atop a 1990s Microsoft API... you can use the api the "dumb" way and not touch it, and then optionally you can easily switch to implementing features the API vendor never envisioned.
And it is only way to performant TLS.
Bulk ciphering is pretty inexpensive since Intel Haswell (2014) where there was a big improvement in AES-NI, but the load and store around ciphering static content that could otherwise avoid a trip through the CPU can be a significant bottleneck at 100gbps+. I'm sure there are measurable gains from TLS offload in other situations, but it's only critical for static content at high bit rates.