state-invariant-detection

To detect broken math in smart contracts, you can infer mathematical invariants between state variables and identify functions that violate them, exposing vulnerabilities like unauthorized minting or accounting desynchronization.

State variable invariants in smart contract vulnerability analysis are mathematical relationships, such as totalSupply equaling the sum of balances, which must always hold true to prevent broken tokenomics and accounting exploits.

You find functions that violate tokenomics accounting logic by applying state variable clustering and delta pattern matching to pinpoint operations that break inferred mathematical relationships within the contract.

Yes, you can detect unauthorized minting vulnerabilities by analyzing state variables to infer invariants and flagging any function that breaks the mathematical relationship governing your token supply.

The best way to prevent accounting desynchronization in DeFi protocols is to infer state invariants and detect violations through expression mining, ensuring mathematical relationships remain sound across all functions.

Yes, state-invariant-detection works for analyzing constant product formulas by automatically discovering these mathematical invariants as state relationships and identifying functions that violate them.