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We’re changing that. Today, Trail of Bits is disclosing the aggregate data from every full smart contract security review we’ve ever executed. Using this commonplace, 26% of the total set of findings may likely be detected utilizing possible static approaches, and 37% utilizing dynamic methods (though usually only with the addition of a custom property to verify). We categorized all 246 smart-contract associated findings from these studies, in some circumstances correcting the unique audit categorization for consistency, and we thought of the potential for each static and dynamic analysis tools, in the lengthy-run, to detect every discovering. A large portion (about 78%) of crucial flaws (those with extreme penalties that are also straightforward to exploit) could probably by detected using automated static or dynamic evaluation instruments. That’s part of our motivation in releasing Crytic, a kind of Travis CI for smart contracts - with constructed-in help for running static evaluation (together with some Slither detectors not yet obtainable in the general public launch) and, quickly, dynamic evaluation, on your code, robotically.