It’s worth pointing out that this eact same thing can happen with non-anonymous credentials (like usernames/passwords or session cookies) as well. However, there’s a difference. In the non-anonymous setting, credential cloning and other similar abuse can be detected, at least in principle. Websites routinely monitor for patterns that indicate the use of stolen credentials: for example, many will flag when they see a single “user” showing up too frequently, or from different and unlikely parts of the world, a procedure that’s sometimes called continuous authentication. Unfortunately, the anonymity properties of anonymous credentials render such checks mostly useless, since every credential “show” is totally anonymous, and we have no idea which user is actually presenting.
Finding these optimization opportunities can itself be a significant undertaking. It requires end-to-end understanding of the spec to identify which behaviors are observable and which can safely be elided. Even then, whether a given optimization is actually spec-compliant is often unclear. Implementers must make judgment calls about which semantics they can relax without breaking compatibility. This puts enormous pressure on runtime teams to become spec experts just to achieve acceptable performance.
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