CRDec 15, 2021

00

arXiv:2201.00815v15 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a security flaw in a cutting-edge cryptographic system, posing risks for users relying on zero-knowledge proofs, though it is incremental as it builds on known attack vectors.

The paper identifies a critical vulnerability in a PLONK zero-knowledge proof implementation that allows forging proofs accepted by all verifiers, and demonstrates the attack's practical success, with responsible disclosure earning approximately $15,000 in rewards.

What is the funniest number in cryptography (Episode 2)? 0 [1]. The reason is that $\forall x, x \cdot 0 = 0$, i.e., the equation is satisfied no matter what $x$ is. We'll use zero to attack zero-knowledge proof (ZKP). In particular, we'll discuss a critical issue in a cutting-edge ZKP PLONK [2] C++ implementation which allows an attacker to create a forged proof that all verifiers will accept. We'll show how theory guides the attack's direction. In practice, the attack works like a charm and we'll show how the attack falls through a chain of perfectly aligned software cracks. In the same codebase, there is an independent critical ECDSA bug where (r, s) = (0, 0) is a valid signature for arbitrary keys and messages, but we won't discuss it further because it's a known ECDSA attack vector in the Google Wycheproof cryptanalysis project [3] that I worked on a few years ago. All bugs have been responsibly disclosed through the vendor's bug bounty program with total reward $\sim \$15,000$ (thank you).

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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