We built a system like Apple’s to flag child sexual abuse material — and concluded the tech was dangerous

This page summarizes the projects mentioned and recommended in the original post on /r/apple

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  • InfluxDB - Power Real-Time Data Analytics at Scale
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  • neural-hash-collider

    Preimage attack against NeuralHash 💣

  • Calling this a "hash" can be misleading, perhaps purposefully so by Apple. It's really a semantic/perceptual embedding. There's already at least one open source library to purposefully generate NeuralHash collisions, and it's very very easy: https://github.com/anishathalye/neural-hash-collider

  • website

    The elementary.io website (by elementary)

  • So long Apple; I'm going back to Linux. elementaryOS 6.0 Odin is shaping up to be a really great mac-replacement on my MBP.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • owasp-mastg

    The Mobile Application Security Testing Guide (MASTG) is a comprehensive manual for mobile app security testing and reverse engineering. It describes the technical processes for verifying the controls listed in the OWASP Mobile Application Security Verification Standard (MASVS).

  • Both in the US and EU, you have a legal right as a user to reverse engineer and test your products. There are plenty of tools, including iOS specific (example). It's entirely possible but not trivial.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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