They're hashing on feature space (so trivial cropping and such doesn't defeat this) but they have two totally separate methods of matching those hashes? Doesn't sound right to me...
> In a call with reporters regarding the new findings, Apple said its CSAM-scanning system had been built with collisions in mind, given the known limitations of perceptual hashing algorithms. In particular, the company emphasized a secondary server-side hashing algorithm, separate from NeuralHash, the specifics of which are not public. If an image that produced a NeuralHash collision were flagged by the system, it would be checked against the secondary system and identified as an error before reaching human moderators.
https://www.theverge.com/2021/8/18/22630439/apple-csam-neura...
For one reason or another Apple really wants to create this precedent, so it’s only natural they’re doing every last thing to make the feature hard to defeat.