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How does the attacker learn anything about the salt without breaking Argon2id first? It’s not like the salt is included in the Sigsum ledger.
If the attacker did somehow learn the salt (truncated HMAC), it seems like that would immediately break security, regardless of truncation. Suppose the attacker starts with a dictionary of all possible Actor IDs, which seems reasonable, and that they calculate the truncated HMAC for every possibility until it matches. Due to the truncation, the attacker may get one or more false username matches in addition to the true username match. But if the attacker has narrowed down the username to two or three possibilities, they’ve already basically won. And they could just check the possibilities against Argon2id to learn which one it is.
On the other hand, if the attacker doesn’t know anything about the salt, then why would it matter if the salt did uniquely identify a user? How would they “observe that the recent-merkle-root is the same for two messages, but their salts differ”?
It’s quite possible that I’m misunderstanding something. I am not a cryptography expert.
But more broadly, it just seems wrong to use a salted password hash but have the salt be based on the same password that’s being hashed. I don’t think it’s _insecure_, because the salt also includes a high-entropy part (the recent-merkle-root). But I don’t see how it increases security at all. The security should be the same as if the salt only included the high-entropy part.
In other words, the entire “HMAC -> truncate -> Argon2id” process can be seen as a password hash in its own right, where the input consists of the secret username, plus various bits of public information such as the recent-merkle-root. But that’s essentially a form of rolling your own crypto, and it’s unnecessary. Argon2id is already a secure password hash by itself, so you can just feed that data directly to it.
Somehow, when I accessed it first I got a HTML file, but then I tried again and got JSON instead. Why is that?
> Counter Mode (CTR) is a secure way to turn a block cipher into a stream cipher.
Note that block ciphers can be reversible. CTR mode does not require that the block cipher is reversible. However, it can be made non-reversible, which is how ChaCha20 works; it is a block cipher in CTR mode, but with an extra step to make it difficult to reverse.
The issue with crypto-shredding in many applications is that it aggressively pessimizes the software architectures possible in support of the data model. For things like databases and analytics, that feature increases the required hardware footprint -- compute and storage -- by orders of magnitude. The loss of efficiency has little to do with the crypto per se, since hardware support makes that cheap, but with how the change in representation interacts with idiomatic data structures and algorithms for high-efficiency data systems.
Many system internals are essentially a bag of tricks for constructing the maximally compressive representation of the important relationships in a data model while preserving practical tractability of operations over the data model. Crypto-shredding architectures have the effect of "encrypting" before "compressing", rendering the latter moot.