Move Language Fuzz Testing

We simulate complex state transitions for Move's resource model, testing for ownership violations, double-spend scenarios, and storage aborts specific to Aptos and Sui frameworks.

Our fuzzer works in tandem with the Move Prover. We generate edge-case inputs to stress-test your formal specifications, ensuring they hold under unexpected runtime conditions.

Automatically generates and mutates valid Move bytecode transaction payloads, fuzzing entry functions with semantically correct arguments to bypass superficial signature checks.

We model the entire on-chain state (like 0x1 framework), fuzzing interactions with system modules, coin mechanics, and staking logic to find integration-level flaws.

Targets worst-case gas consumption and instruction limits. We identify functions that can be DoS'd via gas exhaustion or exceed maximum computation bounds on MoveVM.

Our intelligent oracles detect not just crashes, but semantically incorrect states after a Move abort, identifying logic errors that leave assets in an unsafe intermediate state.

We simulate millions of transaction sequences to uncover edge cases in your Move modules that unit tests miss, including reentrancy, oracle manipulation, and state corruption.

Our fuzzing harnesses are pre-configured for Aptos and Sui primitives—testing resource logic, signer capabilities, and module isolation to prevent asset double-spends and access control flaws.

Get actionable security feedback on every pull request. We integrate fuzzing into your GitHub Actions or GitLab CI workflow, blocking merges that introduce new vulnerabilities.

Receive detailed, human-readable reports mapping vulnerabilities to CVSS scores and providing verified fixes. These reports satisfy due diligence for VC funding and exchange listings.