Decentralized Finance (DeFi) is an emerging paradigm within the blockchain space that aims to revolutionize conventional financial systems through the application of blockchain technology. The substantial value of digital assets managed by DeFi protocols makes it a lucrative target for attacks. Despite the human resources and the application of automated tools, frequent attacks still cause significant fund losses to DeFi participants. Existing tools primarily rely on oracles similar to those used in traditional software analysis, making it challenging for them to detect functional bugs specific to the DeFi domain. Since blockchain functions as a distributed ledger system, the foundation of any DeFi protocol is the accurate maintenance of key state variables representing user funds. If these variables are not properly updated or designed to reflect the intended flow of funds, attackers can exploit these flaws to steal assets. From the study of popular DeFi protocols, we observe that, in DeFi systems, to ensure a transaction does not misappropriate someone’s fund, the direction of changes (increase or decrease) of values associated with the amount of asset or debt of a user has to adhere to some fairness properties. We propose a concept called fairness bug which allows attackers to gain profit without cost. We propose an inter-procedural and inter-contract static analysis technique that utilizes symbolic execution and an SMT solver to automatically detect fairness bugs in DeFi smart contracts. We have implemented our fairness-checking approach in our tool, named FairChecker. We evaluate our tool on a benchmark of 113 real-world DeFi protocols with 34 fairness bugs. The results show that our tool can detect 32 bugs with a recall of 94.1% and a precision of 46.4%, demonstrating its effectiveness.