Granite: A Modular Methodology for Foundational Verification of Hardware-Software Leakage Contracts

From bibtex.

Abstract

Granite is a methodology for modular verification of both functional correctness and nonleakage of RTL processors against ISA contracts. We prove that the cycle-by-cycle timing of a pipelined RISC design - with speculation, precise interrupts, and I/O - is determined solely by observables specified in an ISA leakage contract. For programs that keep observables independent of secrets (i.e., following the cryptographic-constant-time discipline), this result conclusively rules out information leakage through known and unknown timing side channels. Granite's specifications only constrain functional correctness and information-flow dependencies: not how many cycles an instruction takes, at which instruction an interrupt is handled, or the exact latencies of submodules such as multipliers and memory. Granite's central technique is leakage-aware refinement via determinism, which establishes correctness and confidentiality together as trace equivalence with respect to a family of cycle-level, deterministic spec machines. Secret-independent nondeterminism is handled by existentially parameterizing specifications with untrusted, deterministic functions acting only on public data. Submodules are proved against their own leakage-aware specifications, and these proofs compose into the whole-design guarantee - which therefore holds over a space of secure implementations. We believe this work is the first to achieve modular and foundational connection between instruction-set-level leakage contracts and microarchitecture-specific cycle-by-cycle execution with wire-level observations. Our proofs compose with a certified static analysis that recognizes cryptographic-constant-time code to derive a single Rocq theorem about the cycle-by-cycle confidentiality of a hardware-and-software cryptographic implementation - eliminating every intermediate specification, including the ISA contract itself, from the trusted computing base.