TY - GEN
T1 - Poster
T2 - 43rd IEEE International Conference on Distributed Computing Systems, ICDCS 2023
AU - Chen, Weimin
AU - Sun, Zihan
AU - Wang, Haoyu
AU - Luo, Xiapu
AU - Cai, Haipeng
AU - Wu, Lei
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - WebAssembly (Wasm) smart contracts have shown growing popularity across blockchains (e.g., EOSIO and NEAR) recently. Wasm smart contracts have been suffering from various attacks exploiting their vulnerabilities. Even worse, few developers released the source code of their Wasm smart contracts for security review, raising the bar for uncovering vulnerable contracts. Although a few approaches have been proposed to detect vulnerable Wasm smart contracts, they have several major limitations, e.g., low code coverage, low accuracy and lack of scalability, unable to produce exploit payloads, etc. To fill the gap, we design and implement WASAI,a new concolic fuzzer for uncovering vulnerabilities in Wasm smart contract. We conduct extensive experiments to evaluate WASAI,and the results show that it outperforms the state-of-the-art methods. WASAI achieves 2x code coverage than the baselines and surpasses them in detection accuracy, with an F1-measure of 99.2%. Applying WASAI to all deployed smart contracts in the wild, we find that over 707 smart contracts are vulnerable. One Fake EOS vulnerability reported to the EOSIO ecosystem was recently assigned a CVE identifier (CVE-2022-27134).
AB - WebAssembly (Wasm) smart contracts have shown growing popularity across blockchains (e.g., EOSIO and NEAR) recently. Wasm smart contracts have been suffering from various attacks exploiting their vulnerabilities. Even worse, few developers released the source code of their Wasm smart contracts for security review, raising the bar for uncovering vulnerable contracts. Although a few approaches have been proposed to detect vulnerable Wasm smart contracts, they have several major limitations, e.g., low code coverage, low accuracy and lack of scalability, unable to produce exploit payloads, etc. To fill the gap, we design and implement WASAI,a new concolic fuzzer for uncovering vulnerabilities in Wasm smart contract. We conduct extensive experiments to evaluate WASAI,and the results show that it outperforms the state-of-the-art methods. WASAI achieves 2x code coverage than the baselines and surpasses them in detection accuracy, with an F1-measure of 99.2%. Applying WASAI to all deployed smart contracts in the wild, we find that over 707 smart contracts are vulnerable. One Fake EOS vulnerability reported to the EOSIO ecosystem was recently assigned a CVE identifier (CVE-2022-27134).
KW - concolic fuzzing
KW - dynamic software analysis
KW - smart contracts
UR - https://www.scopus.com/pages/publications/85175073073
U2 - 10.1109/ICDCS57875.2023.00125
DO - 10.1109/ICDCS57875.2023.00125
M3 - Conference contribution
AN - SCOPUS:85175073073
T3 - Proceedings - International Conference on Distributed Computing Systems
SP - 1073
EP - 1074
BT - Proceedings - 2023 IEEE 43rd International Conference on Distributed Computing Systems, ICDCS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 July 2023 through 21 July 2023
ER -