Neural-hash-collider – Find target hash collisions for NeuralHash
Preimage attack against NeuralHash 💣. Contribute to anishathalye/neural-hash-collider development by creating an account on GitHub.
Neural-hash-collider – Find target hash collisions for NeuralHash launched on August 19, 2021 with 623 votes, #8 of 2,953 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 5 years on.
In plain words
Neural-hash-collider is a tool that finds target hash collisions for NeuralHash, Apple's perceptual hashing system. Designed for researchers and security analysts, it demonstrates vulnerabilities in neural hash algorithms by generating images that produce the same hash values. The tool is available on GitHub and addresses concerns about the robustness of perceptual hashing systems used in content identification.
written from the facts on this page · September 2026
Does a similar job
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Source: Show HN post ↗
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Hey all My name is Sindre, and I am the CTO of Scrimba (YC S20). For the last 7 years, I have written all my web apps in a full-stack programming language called Imba. It compiles to JavaScript and its main goal is to make web developers more productive. I just launched a major overhaul of Imba, so I wanted to share it here on HN, in case anyone are interested in learning more about it. It is very opinionated, so some of you might not like it, but I would love to hear anyones feedback regardless. Constructive criticism appreciated! The backstory: Imba initially started in 2012 as an effort…
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