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Cryptographic protocols are extremely hard to design and prove correct, aswitnessed by the ever-growing list of attacks even on protocol standards. Usingthe symbolic model of cryptography, protocols are proven correct against anidealized cryptographic model, which abstracts away from the algebraicproperties of cryptographic schemes and thus misses attacks. On the other hand,existing computational models of cryptography only support interactive proofsand/or are limited to stateless protocols. A promising approach is given by thecomputationally complete symbolic attacker (CCSA) model, formalized in the BClogic, which aims at bridging and getting the best of the two worlds, obtainingcryptographic guarantees by symbolic protocol analysis. While machine-checkedsecurity proofs are provided in this domain, such efforts require expertknowledge both in the cryptographic space as well as on the reasoning side.  In this paper, we present the CryptoVampire framework, providing the firstfully automated setting for deriving proofs of trace properties in the BClogic. CryptoVampire brings a first-order formalization of protocol properties,by proposing tailored handling of subterm relations. In addition, CryptoVampireimplements specialized reasoning techniques, saturation algorithms, andheuristics, allowing the direct integration of CryptoVampire within thelandscape of automated theorem proving. Our experimental results showcase theeffectiveness of CryptoVampire, providing also automation support for existingapproaches in the area.

CryptoVampire: Automated Reasoning for the Complete Symbolic Attacker Cryptographic Model