Comohological Obstruction Detection in Smart Contract Call Graphs

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Authors: T. S. Eden
Cited by: 0

Abstract

We present the first application of algebraic topology to smart contract vulnerability detection, demonstrating that reentrancy vulnerabilities correspond to non-trivial first cohomology classes ($H^1 \neq 0$) in the contract call graph. Using the Eden Scanner's Hensel obstruction test, we identified a critical vulnerability in the Inverse Finance FiRM Convex sDola-scrvUSD Market contract (address \texttt{0x63D27fC9d463Ed727676367D3F818999962737E8}) within 48 hours of its addition to the Immunefi bug bounty scope. The vulnerability affects approximately \$605,500 in total value locked and enables direct theft of user collateral through a reentrancy attack via the \texttt{liquidate()} $\to$ \texttt{escrow.pay()} $\to$ callback path. We provide mathematical proof of exploitability through the Regularization Theorem and validate with a fork test against Ethereum mainnet. \end{abstract}

Fields of Study & Subjects

Blockchain Technology Applications and Security Smart Grid Security and Resilience Cryptography and Data Security

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 January 2026
Document type
Preprint