Robust Safety for Move
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A program that maintains key safety properties even when interacting with arbitrary untrusted code is said to enjoy robust safety. Proving that a program written in a mainstream language is robustly safe is typically challenging because it requires static verification tools that work precisely even in the presence of language features like dynamic dispatch and shared mutability. The emerging programming language was designed to support strong encapsulation and static verification in the service of secure smart contract programming. However, the language design has not been analyzed using a theoretical framework like robust safety. In this paper, we define robust safety for the language and introduce a generic framework for static tools that wish to enforce it. Our framework consists of two abstract components: a program verifier that can prove an invariant holds in a closed-world setting (e.g., the Move Prover), and a novel encapsulator that checks if the verifier's result generalizes to an open-world setting. We formalise an escape analysis as an instantiation of the encapsulator and prove that it attains the required security properties. Finally, we implement our encapsulator as an extension to the Move Prover and use the combination to analyze a representative benchmark set of real-world programs. This toolchain certifies >99% of the modules we analyze, validating that automatic enforcement of strong security properties like robust safety is practical for .
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