Security of Bitcoin: Analyzing the secp256k1 Discrete Logarithm Vulnerability

This video explains how the Baby-step / Giant-step (BSGS) algorithm can be used to attack the discrete logarithm problem on secp256k1, and discusses the implications for Bitcoin security against both classical and quantum computational threats.

BitsMaximus28 views8:33

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I show how the Baby-step / Giant-step (BSGS) algorithm attacks the discrete-log on secp256k1, then walk through whether modern supercomputers (or quantum machines) could realistically break Bitcoin — and why Bitcoin’s curve remains secure for the foreseeable future. In this video, you’ll get: 🔎 A short, intuitive explanation of Baby-step / Giant-step and why it uses a square-root time/space tradeoff: solving a discrete log in a group of size n takes about O(√n) time and memory. 🧮 What that means for secp256k1 (group order ~2²⁵⁶) → a naive BSGS attack needs on the order of 2¹²⁸ steps (and corresponding memory), which is astronomically large in practice. 🖥️ A realistic assessment of classical supercomputers: even massively parallel classical hardware only reduces constants — they don’t change the √n barrier. The storage + computation demands for 2¹²⁸-class attacks are outside feasible engineering limits today. ⚛️ Quantum computers may never be realised and are not a threat for the foreseeable future ✅ Conclusion: With current classical and near-term quantum technology, breaking secp256k1 is not practically feasible — Bitcoin’s cryptographic assumptions remain secure over the foreseeable future.

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28

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3

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Duration
8:33

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Published
Oct 23, 2025

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hd

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